WO2017000537A1 - 活体识别装置、活体识别方法和活体认证系统 - Google Patents

活体识别装置、活体识别方法和活体认证系统 Download PDF

Info

Publication number
WO2017000537A1
WO2017000537A1 PCT/CN2016/070101 CN2016070101W WO2017000537A1 WO 2017000537 A1 WO2017000537 A1 WO 2017000537A1 CN 2016070101 W CN2016070101 W CN 2016070101W WO 2017000537 A1 WO2017000537 A1 WO 2017000537A1
Authority
WO
WIPO (PCT)
Prior art keywords
living body
feature
information
image
light
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/070101
Other languages
English (en)
French (fr)
Inventor
朱琳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BOE Technology Group Co Ltd
Original Assignee
BOE Technology Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BOE Technology Group Co Ltd filed Critical BOE Technology Group Co Ltd
Priority to US15/104,748 priority Critical patent/US10043087B2/en
Priority to EP16726475.3A priority patent/EP3319009B1/en
Publication of WO2017000537A1 publication Critical patent/WO2017000537A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • A61B5/004—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
    • A61B5/0044—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part for the heart
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1312—Sensors therefor direct reading, e.g. contactless acquisition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40—Spoof detection, e.g. liveness detection
    • G06V40/45—Detection of the body part being alive
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0233—Special features of optical sensors or probes classified in A61B5/00
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/04—Arrangements of multiple sensors of the same type
    • A61B2562/046—Arrangements of multiple sensors of the same type in a matrix array
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
    • A61B3/1216—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes for diagnostics of the iris
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/02416—Measuring pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • A61B5/1172—Identification of persons based on the shapes or appearances of their bodies or parts thereof using fingerprinting
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • A61B5/1176—Recognition of faces
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4887—Locating particular structures in or on the body
    • A61B5/489—Blood vessels
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/15—Biometric patterns based on physiological signals, e.g. heartbeat, blood flow
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40—Spoof detection, e.g. liveness detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities

Definitions

  • the present invention relates to the field of living body recognition technology, and in particular to a living body identification device, a living body identification method, and a living body authentication system.
  • the recognition methods of living bodies include: fingerprint recognition, iris recognition, face recognition, vein recognition and heart rate recognition.
  • the fingerprint collection unit collects the fingerprint, then the fingerprint is generated, and then the fingerprint image is processed, the fingerprint feature points are extracted, and finally the fingerprint feature points are performed. Save for specific applications of fingerprints (such as in fingerprint authentication).
  • FIG. 1 is a structural schematic diagram of a conventional optical fingerprint collection device, which mainly uses a light refraction and reflection principle to place a finger 4 on an optical lens 5 (such as a triangular prism), and a finger 4 is illuminated by a built-in light source 6. Next, the light is emitted from the bottom toward the optical lens, and is emitted through the optical lens, and the angle of the emitted light refracted on the uneven line of the fingerprint of the finger 4 and the reflected light and light are different.
  • an optical lens 5 such as a triangular prism
  • the optical lens is used to project it on the inductor 7 (such as a charge-coupled device), thereby forming a ridge line (a line having a certain width and a direction in the fingerprint image) in black and a valley line (a recessed portion between the lines).
  • a ridge line a line having a certain width and a direction in the fingerprint image
  • a valley line a recessed portion between the lines.
  • the light source 6 and the sensor 7 of the optical fingerprint acquisition device must be placed at a specific position and must be by means of the optical lens 5 to enable the light emitted from the light source 6 to the finger 4 to be reflected back to the sensor 7, and only to be specific
  • the light emitted from the light source 6 is reflected by the sensor 7 to be received by the sensor 7, that is, if the light reflected from the optical lens deviates from the receiving range of the sensor 7, the fingerprint information will not be acquired.
  • the above optical collection device needs to make the living part to be identified and the collection device Direct contact is very inconvenient to detect, and the identification of the iris and the face of the device is usually not realized, which makes the application of the optical acquisition device extremely limited.
  • the present invention is directed to the above-mentioned technical problems existing in the prior art, and provides a living body identification device, a living body identification method, and a living body authentication system.
  • the living body recognizing device can recognize the living body when contacting and not contacting the living body feature position, so that the characteristic position of the living body can realize the application of authentication and touch without contacting the collecting unit, thereby enabling the living body recognizing device to recognize and apply. More convenient and easy.
  • the present invention provides a living body identification device for identifying feature information of a living body, including an acquisition unit and a processing unit, the acquisition unit for emitting light to a feature position of the living body, and receiving a reflection from the feature position Light, which is then converted into an electrical signal and sent to the processing unit, the acquisition unit comprising at least one light source and a plurality of photosensitive elements spaced apart;
  • the processing unit is configured to generate an image of the feature location according to the electrical signal, and process an image of the feature location to finally obtain the feature information of the feature location, where the feature information is used for The living body is uniquely identified.
  • the collecting unit comprises a transparent substrate and a plurality of light sources and a plurality of photosensitive elements disposed on a side surface of the transparent substrate, the plurality of light sources are spaced apart, and the plurality of photosensitive elements are disposed at the The spacing area of the light source.
  • the plurality of light sources are evenly distributed, and the plurality of photosensitive elements are evenly distributed.
  • the plurality of light sources are arranged in a matrix, and the plurality of photosensitive elements are located in an interval region between any two adjacent rows and/or columns adjacent to and/or diagonally adjacent to the light source, and The photosensitive element and the light source adjacent thereto are equally spaced.
  • the spacing between two adjacent light sources adjacent to each other in a row ranges from 50 to 100 ⁇ m
  • the shape of the light source comprises a rectangle
  • the length of the side of the light source ranges from 50 to 200 ⁇ m.
  • the resolution of the photosensitive element ranges from 500 dpi or more,
  • the resolution of the light source is over 500dpi.
  • the distance between the collecting unit and the feature position ranges from 1 mm to 10 cm.
  • the light source comprises a light emitting diode comprising a white light emitting diode or a green light emitting diode.
  • the feature information includes vein information, heart rate information, fingerprint information, iris information or facial information;
  • the vein information, the heart rate information, and the fingerprint information can be collected from the finger, the iris information can be collected from the eye, and the facial information can be collected from the face.
  • the length of the collection time of the heart rate information ranges from 20 to 30 seconds
  • the length of the collection time of the vein information, the fingerprint information, the iris information, and the facial information ranges from 10 seconds or less.
  • the processing unit includes an image generation module, an image processing module, and a feature information extraction module;
  • the image generating module is configured to generate an image of the feature location according to the electrical signal, and send an image of the feature location to the image processing module;
  • the image processing module is configured to perform a thinning operation process on the image of the feature position, and send the processed image of the feature position to the feature information extraction module;
  • the feature information extraction module is configured to extract the feature information from the processed image of the feature location.
  • the living body identification device further includes a storage unit, and the storage unit is connected to the processing unit, and is configured to store the feature information finally obtained after the processing unit processes.
  • the present invention also provides a living body authentication system including the above living body identification device.
  • the biometric authentication system further includes a feature information database for storing a plurality of feature information of the living body, and a matching module for using the biometric identification device to obtain the The feature information is matched with the feature information in the feature information database, and the matching result is consistent The living body certification is passed.
  • a feature information database for storing a plurality of feature information of the living body
  • a matching module for using the biometric identification device to obtain the The feature information is matched with the feature information in the feature information database, and the matching result is consistent The living body certification is passed.
  • the present invention also provides a living body recognition method using the above living body recognition device, comprising: emitting light to a characteristic position of a living body; receiving light reflected from the characteristic position, and then converting the same into an electrical signal;
  • the living body recognizing device of the present invention by arranging a plurality of photosensitive elements at intervals, a larger angle of light emitted from the collecting unit to the characteristic position can be reflected by the characteristic position and then received by the collecting unit to make the living body
  • the information acquisition of the feature position by the identification device becomes more flexible; at the same time, since a plurality of photosensitive elements are arranged at intervals, it is not necessary to strictly control the direction of the reflected light by means of the optical lens, but can be received by using a plurality of photosensitive elements arranged at intervals
  • the reflected light of the living body itself at the feature position enables the living body recognition device to collect the information of the feature position when contacting and not contacting the feature position, so that the feature position of the living body can be authenticated without contacting the collection unit. And the application such as touch, thereby making the living body identification device more convenient and easy to identify and apply in vivo.
  • the living body authentication system provided by the present invention can realize non-contact authentication by using the above-described living body identification device, thereby making the living body authentication system more convenient and applicable to application.
  • FIG. 1 is a schematic diagram of fingerprint collection by an optical fingerprint collection device in the prior art
  • FIG. 2 is a schematic block diagram of a living body identification device according to Embodiment 1 of the present invention.
  • FIG. 3 is a schematic structural view of a first example of the acquisition unit of FIG. 2;
  • FIG. 4 is a schematic diagram of information collection of the feature position of the living body by the collecting unit of FIG. 2;
  • Figure 5 is a schematic structural view of a second example of the acquisition unit of Figure 2;
  • FIG. 6 is a schematic structural view of a third example of the acquisition unit of FIG. 2;
  • Figure 7 is a schematic structural view of a fourth example of the acquisition unit of Figure 2;
  • FIG. 8 is a flowchart of a living body identification method according to Embodiment 1 of the present invention.
  • a living body identification device a living body identification method, and a living body authentication system provided by the present invention are further described in detail below with reference to the accompanying drawings and specific embodiments.
  • the embodiment provides a living body identification device for identifying feature information of a living body, as shown in FIG. 2, including an acquisition unit 1 and a processing unit 2, and the collection unit 1 is configured to emit light to a feature position of a living body, and receive The light reflected from the characteristic position is then converted into an electrical signal and sent to the processing unit 2, the acquisition unit 1 comprising at least one light source and a plurality of photosensitive elements arranged at intervals; the processing unit 2 is configured to generate an electrical signal according to the electrical signal The image of the feature position is processed, and the image of the feature position is processed to finally obtain feature information of the feature position, and the feature information is used for uniquely identifying the living body.
  • the living body is, for example, a living body of a human or other animal.
  • the collecting unit 1 comprises a plurality of photosensitive elements arranged at intervals, a larger angle of light emitted to the characteristic position can be received by the collecting unit 1 after being reflected by the characteristic position, that is, the light emitted by the collecting unit 1 to the characteristic position and the corresponding light
  • the angle of the light reflected by the characteristic position can be larger than that of the prior art, and the angle between the emitted light and the reflected light can be larger for a certain fixed angle, so that the information collection of the feature position by the living body recognition device becomes It is more flexible, and at the same time, since a plurality of photosensitive elements are arranged at intervals, it is not necessary to strictly control the direction of the reflected light by means of optical lenses, but a plurality of senses of spacing are used.
  • the light element can receive the reflected light of the living body itself at the feature position, which enables the living body identification device to collect the information of the feature position when contacting and not contacting the feature position, so that the feature position of the living body does not need to be contacted and collected.
  • the unit 1 can realize applications such as authentication and touch, thereby making the living body recognition device more convenient and easy to identify and apply in vivo.
  • the collecting unit 1 includes a transparent substrate 11 and a plurality of light sources 12 and a plurality of photosensitive elements 13 disposed on a side surface of the transparent substrate 11, and the light source 12 is used for the feature.
  • the position emits light
  • the photosensitive element 13 is for receiving light reflected from the characteristic position, and is converted into an electrical signal;
  • the plurality of light sources 12 are spaced apart, and the photosensitive elements 13 are also spaced apart and disposed in the spaced regions of the light source 12.
  • the plurality of light sources 12 are evenly distributed, and the plurality of photosensitive elements 13 are evenly distributed.
  • the uniform distribution of the plurality of light sources 12 not only enables all the characteristic positions of the living body to be irradiated with light, but also makes the light irradiated to the feature positions uniform.
  • the uniform distribution of the plurality of photosensitive elements 13 enables most of the light reflected at different positions in the feature position to be sensed by the photosensitive member 13.
  • the light source 12 and the photosensitive element 13 are distributed on the same surface, and the photosensitive element 13 is disposed in the interval region of the light source 12, so that the light irradiated to the characteristic position can be reflected and reflected to the photosensitive element 13 after being reflected, thereby making the photosensitive element 13 can sense it.
  • the spacing between the feature position and the acquisition unit 1 can be arbitrarily adjusted as long as the light illuminating the characteristic position can be received by the photosensitive element 13 after being reflected, so that even the feature position and acquisition When the unit 1 is not in contact, the receiving and sensing of the reflected light of the characteristic position can be realized, thereby realizing the collection of the feature position information.
  • the feature position and the acquisition unit 1 can also be in contact with each other, and the receiving and sensing of the reflected light of the feature position can also be realized, thereby realizing the collection of the feature position information.
  • the light sources 12 are arranged in a matrix, and the photosensitive element 13 is located at an interval between any two diagonally adjacent light sources 12, and the distance between the photosensitive element 13 and the light source 12 adjacent thereto is equal.
  • the photosensitive element 13 A larger angle of light emitted by the adjacent light source 12 to the characteristic position is reflected and incident on the photosensitive element 13, thereby ensuring that the photosensitive element 13 can acquire information for the feature position.
  • the photosensitive element 13 may also be located in an interval region between the light sources 12 adjacent to any two rows (as shown in FIG. 5) or adjacent to each other (as shown in FIG. 6). In this way, it is also ensured that the light emitted from the light source 12 adjacent to the photosensitive element 13 to the characteristic position is reflected and incident on the photosensitive element 13, thereby ensuring that the photosensitive element 13 can acquire information on the characteristic position.
  • a plurality of photosensitive elements 13 integrally connected may be provided in a space between the light sources 12, such an arrangement assuring that a larger angle of light emitted from the light source 13 is reflected and transmitted to the photosensitive element 13 It is received so that the information collection of the characteristic position of the photosensitive element 13 can be further ensured.
  • the distance between the two light sources 12 adjacent to or adjacent to the row ranges from 50 to 100 ⁇ m
  • the shape of the light source 12 includes a rectangle
  • the length of the side of the light source 12 ranges from 50 to 200 ⁇ m.
  • the shape of the light source 12 may be other shapes such as a circle or a regular polygon.
  • the shape of the photosensitive element 13 is preferably a rectangle, and may be other shapes such as a circle or a regular polygon.
  • the resolution of the photosensitive element 13 is 500 dpi or more, and the resolution of the light source 12 is 500 dpi or more.
  • dpi Dots Per Inch
  • dpi reflects the distribution density of the light source 12 or the photosensitive elements 13.
  • the distance between the collecting unit 1 and the feature position ranges from 1 mm to 10 cm.
  • the range of the spacing makes the identification and application of the feature location of the living body recognition device more flexible and convenient. If the living body recognition device can realize three-dimensional control in the air in the application of feature information authentication or touch control of the feature position, that is, the feature position of the living body is moved in all directions in the air, the feature position feature information can be completed correspondingly. Authentication or touch control of touch devices such as touch screens.
  • the light source 12 includes a light emitting diode (ie, an LED), and the light source 2
  • the pole tube includes a white light emitting diode or a green light emitting diode.
  • the white light emitting diode and the green light emitting diode are respectively applied to the identification of different feature information of the same feature position. Because some feature information uses white light-emitting diodes for better recognition, some feature information uses green light-emitting diodes for better recognition. That is to say, the light-emitting diodes can adopt different colors in different applications. Since different colors of light have different sensitivity in different applications, different colors of light-emitting diodes can be used in different applications to further improve the accuracy of information collection in different applications. At the same time, the application of different color LEDs in different occasions further expands the application range of the living body identification device.
  • the feature information includes the vein information, the heart rate information, the fingerprint information, the iris information, or the face information, that is, the living body identification device can identify the feature information of the living body, thereby identifying the unique correspondence with the certain feature information.
  • Living body. Feature locations include fingers, eyes, or faces; vein information, heart rate information, and fingerprint information can be captured from the finger, iris information can be captured from the eye, and facial information can be captured from the face.
  • the principle of the feature position information collection is as follows: the feature information can be visualized by the corresponding feature position, and the display mode is a state in which the surface of the feature position is uneven.
  • the uneven position of the characteristic position such as the finger, the eye or the face reflects the light irradiated thereto to different degrees, so that the intensity of the reflected light received by the photosensitive element 13 is different, so that the surface of the feature position can be distinguished.
  • the concave and convex state and finally obtains the feature information of the feature position after the processing.
  • the feature information of the living feature position has a unique correspondence with the living body, and therefore, the feature information of the feature position is applied, and the living body can be uniquely identified.
  • the white light emitting diode is suitable for application in the collection of vein information, fingerprint information, iris information and facial information, and white light is more sensitive in the collection application of vein information, fingerprint information, iris information and facial information, and Acquisition accuracy is higher.
  • Green LEDs are suitable for use in heart rate information acquisition applications. Green light is more sensitive in the collection of heart rate information and has higher acquisition accuracy.
  • the length of the collection time of the heart rate information ranges from 20 to 30 seconds
  • the length of the collection time of the vein information, the fingerprint information, the iris information, and the face information ranges from 10 seconds or less. That is, the living body recognition device can be used for different feature information The collection and recognition are performed, but only one feature information can be collected and recognized in each recognition process. According to different acquisition time lengths of different feature information, the living body recognition device can also collect and identify different feature information of a living body. Thereby, the living body can be more accurately uniquely identified and confirmed by the collection and identification of various feature information.
  • the processing unit 2 includes an image generating module 21, an image processing module 22, and a feature information extracting module 23; the image generating module 21 is configured to generate an image of the feature position according to the electrical signal, and set the feature position.
  • the image is sent to the image processing module 22; the image processing module 22 is configured to perform the thinning operation processing on the image of the feature position, and send the processed image of the feature position to the feature information extracting module 23; the feature information extracting module 23 is configured to Feature information is extracted from the image of the processed feature location. After the feature information of the feature position is extracted, the living body can be uniquely identified based on the feature information.
  • the living body identification device further includes a storage unit 3, and the storage unit 3 is connected to the processing unit 2 for storing the feature information finally obtained after the processing unit 2 processes.
  • the setting of the storage unit 3 facilitates subsequent application of the living body identification device to applications such as feature information authentication or feature information touch of a living body. That is, in the subsequent application, the feature information of the feature position of the living body is compared with that in the storage unit 3, and the application of the feature information or the touch control can be realized after the comparison is successful.
  • the embodiment further provides a living body identification method, as shown in FIG.
  • Step S1 emitting light to a characteristic position of the living body
  • Step S2 receiving light reflected from the characteristic position, and then converting the received optical signal into an electrical signal
  • Step S3 generating an image of the feature position according to the electrical signal, and processing the image of the feature position, and finally obtaining feature information of the feature position, and the feature information can uniquely identify the living body.
  • the living body identification device provided in the embodiment 1 can be received by the collecting unit by reflecting the larger angle light emitted by the collecting unit to the characteristic position, so that the living body identifying device is Characteristic location letter
  • the information collection becomes more flexible, and at the same time, the living body identification device can collect the information of the feature position when contacting and not contacting the feature position, so that the feature position of the living body can realize authentication and touch without contacting the collection unit.
  • Such applications make the living body identification device more convenient and easy to identify and apply in vivo.
  • This embodiment provides a living body authentication system including the living body identification device in Embodiment 1.
  • the biometric authentication system further includes a feature information database for storing feature information of the plurality of living bodies, and a matching module for matching the feature information obtained by the living body recognition device with the feature information in the feature information database. And pass the living body certification with the matching result.
  • the living body authentication system can realize non-contact authentication, thereby making the living body authentication system more convenient and applicable.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Molecular Biology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Cardiology (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Image Input (AREA)

Abstract

一种活体识别装置、活体识别方法和活体认证系统。该活体识别装置包括采集单元（1）和处理单元（2），采集单元（1）用于向活体的特征位置发射光线，并接收从特征位置反射的光线，然后将其转换为电信号，并将电信号发送给处理单元（2），所述采集单元（1）包括至少一个光源（12）和间隔布置的多个感光元件（13）；处理单元（2）用于根据电信号生成特征位置的图像，并对特征位置的图像进行处理，最终获得特征位置的特征信息，特征信息用于对活体进行唯一识别。该活体识别装置不仅能对活体进行更加灵活的识别，而且在接触和不接触活体特征位置时都能对该活体进行识别。

Description

活体识别装置、活体识别方法和活体认证系统 技术领域
本发明涉及活体识别技术领域，具体地，涉及一种活体识别装置、活体识别方法和活体认证系统。
背景技术
目前活体的识别方式包括：指纹识别、虹膜识别、脸部识别、静脉识别和心率识别等。
对于指纹识别的方式大都是采用以下的工作原理：即先由指纹采集单元采集指纹，然后将采集的指纹生成指纹图像，后续经过对指纹图像进行处理，提取指纹特征点，最后将指纹特征点进行保存，以备指纹的特定应用(如在指纹认证中使用)。
传统的指纹采集方式包括：光学式、电容式和超声式。如图1所示为传统的光学式指纹采集装置的结构原理图，其主要是利用光的折射和反射原理，将手指4放在光学镜片5(如三棱镜)上，手指4在内置光源6照射下，光从底部射向光学镜片，并经光学镜片射出，射出的光线在手指4表面指纹凹凸不平的线纹上折射的角度及反射的光线明暗就会不一样。用光学镜片将其投射在感应器7(如电荷耦合器件)上，进而形成脊线(指纹图像中具有一定宽度和走向的纹线)呈黑色、谷线(纹线之间的凹陷部分)呈白色的数字化的、可被指纹设备算法处理的多灰度指纹图像。
该光学式指纹采集装置的光源6和感应器7必须设置在特定位置上并且必须借助于光学镜片5，才能够使得从光源6发射至手指4的光线反射后到达感应器7，并且只有以特定角度从光源6发出的光线经过反射后才能被感应器7接收到，也就是说，从光学镜片反射出的光线如果偏离了感应器7的接收范围，则将采集不到指纹信息。
上述光学式的采集装置需要使活体的待识别部位与采集装 置直接接触，检测起来非常不方便，而且该装置对虹膜和脸部的识别通常无法实现，这使得这种光学式采集装置的应用受到了极大的限制。
发明内容
本发明针对现有技术中存在的上述技术问题，提供一种活体识别装置、活体识别方法和活体认证系统。该活体识别装置在接触和不接触活体特征位置时都能对活体进行识别，从而使活体的特征位置无需接触采集单元就能够实现认证和触控等应用，进而使该活体识别装置识别和应用起来更加方便易行。
本发明提供一种活体识别装置，用于对活体的特征信息进行识别，包括采集单元和处理单元，所述采集单元用于向所述活体的特征位置发射光线，并接收从所述特征位置反射的光线，然后将其转换为电信号，并将所述电信号发送给所述处理单元，所述采集单元包括至少一个光源和间隔布置的多个感光元件；
所述处理单元用于根据所述电信号生成所述特征位置的图像，并对所述特征位置的图像进行处理，最终获得所述特征位置的所述特征信息,所述特征信息用于对所述活体进行唯一识别。
优选地，所述采集单元包括透明基板和设置在所述透明基板一侧板面上的多个光源和多个感光元件，所述多个光源间隔分布，所述多个感光元件设置在所述光源的间隔区域。
优选地，所述多个光源均匀分布，所述多个感光元件均匀分布。
优选地，所述多个光源排布呈矩阵，所述多个感光元件位于任意两个行相邻和/或列相邻和/或对角相邻的所述光源之间的间隔区域，且所述感光元件和与其相邻的所述光源的间距相等。
优选地，行相邻或列相邻的两个所述光源之间的间距范围为50-100μm，所述光源的形状包括矩形，所述光源的边长的尺寸范围为50-200μm。
优选地，所述感光元件的分辨率范围为500dpi以上，所述 光源的分辨率范围为500dpi以上。
优选地，所述采集单元与所述特征位置的间距范围为1mm-10cm。
优选地，所述光源包括发光二极管，所述发光二极管包括白光发光二极管或绿光发光二极管。
优选地，所述特征信息包括静脉信息、心率信息、指纹信息、虹膜信息或脸部信息；以及
所述静脉信息、所述心率信息和所述指纹信息能从所述手指采集，所述虹膜信息能从所述眼睛采集，所述脸部信息能从所述脸部采集。
优选地，所述心率信息的采集时间的长度范围为20-30秒，所述静脉信息、所述指纹信息、所述虹膜信息和所述脸部信息的采集时间的长度范围为10秒以下。
优选地，所述处理单元包括图像生成模块、图像处理模块和特征信息提取模块；
所述图像生成模块用于根据所述电信号生成所述特征位置的图像，并将所述特征位置的图像发送给所述图像处理模块；
所述图像处理模块用于对所述特征位置的图像进行细化运算处理，并将处理后的所述特征位置的图像发送给所述特征信息提取模块；
所述特征信息提取模块用于从处理后的所述特征位置的图像上提取所述特征信息。
优选地，所述活体识别装置还包括存储单元，所述存储单元与所述处理单元连接，用于存储所述处理单元处理后最终获得的所述特征信息。
本发明还提供一种活体认证系统，包括上述活体识别装置。
优选地，所述活体认证系统还包括特征信息数据库和匹配模块，所述特征信息数据库用于存储多个所述活体的特征信息；所述匹配模块用于将所述活体识别装置获得的所述特征信息与所述特征信息数据库中的特征信息进行匹配，并使匹配结果一致的 所述活体认证通过。
本发明还提供了一种利用上述活体识别装置进行的活体识别方法，包括：向活体的特征位置发射光线；接收从特征位置反射的光线，然后将其转换为电信号；以及
根据所述电信号生成所述特征位置的图像，并对所述特征位置的图像进行处理，最终获得所述特征位置的所述特征信息，所述特征信息能对所述活体进行唯一识别。
本发明的有益效果：本发明所提供的活体识别装置，通过间隔布置多个感光元件，能够使采集单元向特征位置发射的更大角度的光线经特征位置反射后由采集单元接收，使该活体识别装置对特征位置的信息采集变得更加灵活；同时由于间隔布置了多个感光元件，从而不需要借助光学镜片来严格控制反射光的方向，而是利用间隔布置的多个感光元件就能够接收到特征位置处的活体本身的反射光线，这使得该活体识别装置在接触和不接触特征位置时都能对该特征位置的信息进行采集，从而使活体的特征位置无需接触采集单元就能够实现认证和触控等应用，进而使该活体识别装置活体识别和应用起来更加方便易行。
本发明所提供的活体认证系统，通过采用上述活体识别装置，能够实现非接触认证，从而使该活体认证系统应用起来更加方便易行。
附图说明
图1为现有技术中光学式指纹采集装置对指纹进行采集的示意图；
图2为本发明实施例1中活体识别装置的原理框图；
图3为图2中采集单元的第一实例的结构示意图；
图4为图2中采集单元对活体的特征位置进行信息采集的示意图；
图5为图2中采集单元的第二实例的结构示意图；
图6为图2中采集单元的第三实例的结构示意图；
图7为图2中采集单元的第四实例的结构示意图；以及
图8为本发明实施例1中活体识别方法的流程图。
其中的附图标记说明：
1.采集单元；11.透明基板；12.光源；13.感光元件；2.处理单元；21.图像生成模块；22.图像处理模块；23.特征信息提取模块；3.存储单元；4.手指；5.光学镜片；6.内置光源；7.感应器。
具体实施方式
为使本领域的技术人员更好地理解本发明的技术方案，下面结合附图和具体实施方式对本发明所提供的一种活体识别装置、活体识别方法和活体认证系统作进一步详细描述。
实施例1：
本实施例提供一种活体识别装置，用于对活体的特征信息进行识别，如图2所示，包括采集单元1和处理单元2，采集单元1用于向活体的特征位置发射光线，并接收从特征位置反射的光线，然后将其转换为电信号，并将电信号发送给处理单元2，采集单元1包括至少一个光源和间隔布置的多个感光元件；处理单元2用于根据电信号生成特征位置的图像，并对特征位置的图像进行处理，最终获得特征位置的特征信息，特征信息用于对活体进行唯一识别。
其中，活体例如为人或其他动物活体。由于采集单元1包括间隔布置的多个感光元件，因此向特征位置发射的更大角度的光线经特征位置反射后能由采集单元1接收到，即采集单元1向特征位置发射的光线与相应从特征位置反射的光线的夹角相比于现有技术中发射光线与反射光线的夹角只能为某一固定角度而言可以更大，从而使该活体识别装置对特征位置的信息采集变得更加灵活，同时由于间隔布置了多个感光元件，从而不需要借助光学镜片来严格控制反射光的方向，而是利用间隔布置的多个感 光元件就能够接收到特征位置处的活体本身的反射光线，这使得该活体识别装置在接触和不接触特征位置时都能对该特征位置的信息进行采集，从而使活体的特征位置无需接触采集单元1就能够实现认证和触控等应用，进而使该活体识别装置活体识别和应用起来更加方便易行。
本实施例中，如图3和图4所示，采集单元1包括透明基板11和设置在透明基板11一侧板面上的多个光源12和多个感光元件13，光源12用于向特征位置发射光线，感光元件13用于接收从特征位置反射的光线，并将其转换为电信号；多个光源12间隔分布，感光元件13也间隔分布并且设置在光源12的间隔区域。如此设置，能够确保光源12向特征位置发射的更大角度的光线经特征位置反射后能被感光元件13接收到。
其中，多个光源12均匀分布，多个感光元件13均匀分布。多个光源12的均匀分布不仅能使活体的所有特征位置都能够被光线照射到，而且能使照射到特征位置上的光线均匀。多个感光元件13的均匀分布能使特征位置上不同位置反射的绝大多数光线能被感光元件13感应到。另外，光源12和感光元件13分布在同一面上，将感光元件13设置在光源12的间隔区域，能使照射到特征位置上的光线经反射之后恰好反射至感光元件13上，从而使感光元件13能感应到。基于这种感光原理，特征位置与采集单元1之间的间距可以随意调节，只要是照射到特征位置上的光线，经反射之后都能够被感光元件13接收感应到，因此，即使特征位置与采集单元1不相接触，也能实现对特征位置反射光线的接收感应，从而实现对特征位置信息的采集。
需要说明的是，本实施例中，特征位置与采集单元1也可以相接触，同样能实现对特征位置反射光线的接收感应，从而实现对特征位置信息的采集。
本实施例中，光源12排布呈矩阵，感光元件13位于任意两个对角相邻的光源12之间的间隔区域，且感光元件13和与其相邻的光源12的间距相等。如此设置，能够确保与感光元件13 相邻的光源12发射至特征位置的更大角度的光线经反射后入射至感光元件13，从而确保感光元件13能对特征位置进行信息采集。
需要说明的是，感光元件13也可以位于任意两个行相邻(如图5所示)或列相邻(如图6所示)的光源12之间的间隔区域。如此同样能确保与感光元件13相邻的光源12发射至特征位置的光线经反射后入射至感光元件13，从而确保感光元件13能对特征位置进行信息采集。
如图7所示，也可以在光源12之间的间隔区域中设置连接成一体的多个感光元件13，这样的设置能够确保从光源13发出的更大角度的光线经过反射后被感光元件13接收到，从而能够进一步确保感光元件13对特征位置的信息采集。
本实施例中，行相邻或列相邻的两个光源12之间的间距范围为50-100μm，光源12的形状包括矩形，光源12的边长的尺寸范围为50-200μm。当然，光源12的形状也可以是圆形或正多边形等其他的形状，感光元件13的形状优选为矩形，也可以是圆形或正多边形等其他的形状。
本实施例中，感光元件13的分辨率范围为500dpi以上，光源12的分辨率范围为500dpi以上。其中，dpi(Dots Per Inch)指每英寸长度上分布的光源12或感光元件13的个数，dpi反映的是光源12或感光元件13的分布密度。如此设置，能够确保对特征位置的信息采集精度更高，从而使后续处理单元2处理后最终获得的特征位置的特征信息更加精确和清楚。
本实施例中，采集单元1与特征位置的间距范围为1mm-10cm。该间距范围使活体识别装置对特征位置的识别和应用更加灵活方便。如使该活体识别装置在特征位置的特征信息认证或触控等应用中能实现空中的三维控制，即将活体的特征位置在空中进行各个方向上的移动，就能够相应地完成特征位置特征信息的认证或对触摸屏等的触控设备的触摸控制。
本实施例中，光源12包括发光二极管(即LED)，发光二 极管包括白光发光二极管或绿光发光二极管。白光发光二极管和绿光发光二极管分别应用于同一特征位置的不同特征信息的识别。因为有的特征信息采用白光发光二极管的识别效果更好，有的特征信息采用绿光发光二极管的识别效果更好。即发光二极管可以在不同的应用场合采用不同颜色，由于不同颜色的光线在不同的应用场合灵敏度高低不同，所以在不同应用场合采用不同颜色的发光二极管能进一步提高不同应用场合信息采集的精确度。同时，不同颜色的发光二极管在不同场合的应用还进一步扩大了该活体识别装置的应用范围。
本实施例中，特征信息包括静脉信息、心率信息、指纹信息、虹膜信息或脸部信息，即该活体识别装置对活体的上述特征信息都能够进行识别，从而识别与某一特征信息唯一对应的活体。特征位置包括手指、眼睛或脸部；静脉信息、心率信息和指纹信息能从手指采集，虹膜信息能从眼睛采集，脸部信息能从脸部采集。
其中，特征位置信息的采集原理为：特征信息能通过相应的特征位置显现出来，显现的方式为使特征位置表面呈凹凸不平的状态。特征位置如手指、眼睛或脸部的凹凸不平的表面状态会对照射至其上的光线进行不同程度的反射，从而使感光元件13接收到的反射光线的强度不同，如此即可区分特征位置表面的凹凸状态，最终处理后获得特征位置的特征信息。活体特征位置的特征信息与该活体具有唯一对应关系，因此，应用特征位置的特征信息，能够对活体进行唯一识别。
需要说明的是，白光发光二极管适合应用在静脉信息、指纹信息、虹膜信息和脸部信息的采集应用中，白光在静脉信息、指纹信息、虹膜信息和脸部信息的采集应用中更加灵敏，且采集精度更高。绿色发光二极管适合应用在心率信息的采集应用中，绿光在心率信息的采集应用中更加灵敏，且采集精度更高。
本实施例中，心率信息的采集时间的长度范围为20-30秒，静脉信息、指纹信息、虹膜信息和脸部信息的采集时间的长度范围为10秒以下。即该活体识别装置能够用于对不同的特征信息 进行采集识别，但每次识别过程中只能对一种特征信息进行采集识别，根据不同特征信息的采集时间长短不同，该活体识别装置也可以先后对某一活体的不同特征信息进行采集识别，从而能够通过对多种特征信息的采集识别对活体进行更加精确的唯一识别和确认。
本实施例中，如图2所示，处理单元2包括图像生成模块21、图像处理模块22和特征信息提取模块23；图像生成模块21用于根据电信号生成特征位置的图像，并将特征位置的图像发送给图像处理模块22；图像处理模块22用于对特征位置的图像进行细化运算处理，并将处理后的特征位置的图像发送给特征信息提取模块23；特征信息提取模块23用于从处理后的特征位置的图像上提取特征信息。对特征位置的特征信息提取之后，根据该特征信息就能够对该活体进行唯一识别。
本实施例中，活体识别装置还包括存储单元3，存储单元3与处理单元2连接，用于存储处理单元2处理后最终获得的特征信息。存储单元3的设置，便于后续将该活体识别装置应用在活体的特征信息认证或特征信息触控等应用中。即在后续应用中，只要将活体的特征位置的特征信息与存储单元3中的进行比对，比对成功后即可实现特征信息的认证或触控等应用。
基于本实施例中活体识别装置的上述结构，本实施例还提供一种活体识别方法，如图8所示，包括：
步骤S1：向活体的特征位置发射光线；
步骤S2：接收从特征位置反射的光线，然后将接收的光信号转换为电信号；以及
步骤S3：根据电信号生成特征位置的图像，并对特征位置的图像进行处理，最终获得特征位置的特征信息，特征信息能对活体进行唯一识别。
实施例1的有益效果：实施例1中所提供的活体识别装置，通过使采集单元向特征位置发射的更大角度的光线经特征位置反射后均能由采集单元接收，使该活体识别装置对特征位置的信 息采集变得更加灵活，同时还使该活体识别装置在接触和不接触特征位置时都能对该特征位置的信息进行采集，从而使活体的特征位置无需接触采集单元就能够实现认证和触控等应用，进而使该活体识别装置活体识别和应用起来更加方便易行。
实施例2：
本实施例提供一种活体认证系统，包括实施例1中的活体识别装置。
其中，该活体认证系统还包括特征信息数据库和匹配模块，特征信息数据库用于存储多个活体的特征信息；匹配模块用于将活体识别装置获得的特征信息与特征信息数据库中的特征信息进行匹配，并使匹配结果一致的活体认证通过。
通过采用实施例1中的活体识别装置，使该活体认证系统能够实现非接触认证，从而使该活体认证系统应用起来更加方便易行。
可以理解的是，以上实施方式仅仅是为了说明本发明的原理而采用的示例性实施方式，然而本发明并不局限于此。对于本领域内的普通技术人员而言，在不脱离本发明的精神和实质的情况下，可以做出各种变型和改进，这些变型和改进也视为本发明的保护范围。

Claims (15)

  1. 一种活体识别装置，用于对活体的特征信息进行识别，包括采集单元和处理单元，其中，
    所述采集单元用于向所述活体的特征位置发射光线，并接收从所述特征位置反射的光线，然后将其转换为电信号，并将所述电信号发送给所述处理单元，所述采集单元包括至少一个光源和间隔布置的多个感光元件；
    所述处理单元用于根据所述电信号生成所述特征位置的图像，并对所述特征位置的图像进行处理，最终获得所述特征位置的所述特征信息,所述特征信息用于对所述活体进行唯一识别。
  2. 根据权利要求1所述的活体识别装置，其中，所述采集单元包括透明基板和设置在所述透明基板一侧板面上的多个光源和多个感光元件，所述光源用于向所述特征位置发射光线，所述感光元件用于接收从所述特征位置反射的光线，并将其转换为电信号；所述多个光源间隔分布，所述多个感光元件设置在所述光源的间隔区域。
  3. 根据权利要求2所述的活体识别装置，其中，所述多个光源均匀分布，所述多个感光元件均匀分布。
  4. 根据权利要求3所述的活体识别装置，其中，所述多个光源排布呈矩阵，所述多个感光元件位于任意两个行相邻和/或列相邻和/或对角相邻的光源之间的间隔区域，且所述感光元件和与其相邻的所述光源的间距相等。
  5. 根据权利要求4所述的活体识别装置，其中，行相邻或列相邻的两个光源之间的间距范围为50-100μm，所述光源的形状包括矩形，所述光源的边长的尺寸范围为50-200μm。
  6. 根据权利要求3所述的活体识别装置，其中，所述感光元件的分辨率范围为500dpi以上，所述光源的分辨率范围为500dpi以上。
  7. 根据权利要求1所述的活体识别装置，其中，所述采集单元与所述特征位置的间距范围为1mm-10cm。
  8. 根据权利要求3所述的活体识别装置，其中，所述光源包括发光二极管，所述发光二极管包括白光发光二极管或绿光发光二极管。
  9. 根据权利要求1-8任意一项所述的活体识别装置，其中，所述特征信息包括静脉信息、心率信息、指纹信息、虹膜信息或脸部信息；以及
    所述静脉信息、所述心率信息和所述指纹信息能从所述手指采集，所述虹膜信息能从所述眼睛采集，所述脸部信息能从所述脸部采集。
  10. 根据权利要求9所述的活体识别装置，其中，所述心率信息的采集时间的长度范围为20-30秒，所述静脉信息、所述指纹信息、所述虹膜信息和所述脸部信息的采集时间的长度范围为10秒以下。
  11. 根据权利要求1所述的活体识别装置，其中，所述处理单元包括图像生成模块、图像处理模块和特征信息提取模块；
    所述图像生成模块用于根据所述电信号生成所述特征位置的图像，并将所述特征位置的图像发送给所述图像处理模块；
    所述图像处理模块用于对所述特征位置的图像进行细化运算处理，并将处理后的所述特征位置的图像发送给所述特征信息提取模块；
    所述特征信息提取模块用于从处理后的所述特征位置的图像上提取所述特征信息。
  12. 根据权利要求1所述的活体识别装置，还包括存储单元，所述存储单元与所述处理单元连接，用于存储所述处理单元处理后最终获得的所述特征信息。
  13. 一种活体认证系统，包括权利要求1-12任意一项所述的活体识别装置。
  14. 根据权利要求13所述的活体认证系统，还包括特征信息数据库和匹配模块，所述特征信息数据库用于存储多个所述活体的特征信息；所述匹配模块用于将所述活体识别装置获得的所述特征信息与所述特征信息数据库中的特征信息进行匹配，并使匹配结果一致的所述活体认证通过。
  15. 一种利用权利要求1至12任意一项所述的活体识别装置进行的活体识别方法，包括：
    向活体的特征位置发射光线；
    接收从特征位置反射的光线，然后其转换为电信号；以及
    根据所述电信号生成所述特征位置的图像，并对所述特征位置的图像进行处理，最终获得所述特征位置的所述特征信息，所述特征信息能对所述活体进行唯一识别。
PCT/CN2016/070101 2015-07-02 2016-01-05 活体识别装置、活体识别方法和活体认证系统 Ceased WO2017000537A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US15/104,748 US10043087B2 (en) 2015-07-02 2016-01-05 Living body identification device, living body identification method and living body authentication system
EP16726475.3A EP3319009B1 (en) 2015-07-02 2016-01-05 Living body recognition apparatus, living body recognition method and living body authentication system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510382364.5 2015-07-02
CN201510382364.5A CN104951769B (zh) 2015-07-02 2015-07-02 活体识别装置、活体识别方法和活体认证系统

Publications (1)

Publication Number Publication Date
WO2017000537A1 true WO2017000537A1 (zh) 2017-01-05

Family

ID=54166411

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/070101 Ceased WO2017000537A1 (zh) 2015-07-02 2016-01-05 活体识别装置、活体识别方法和活体认证系统

Country Status (4)

Country Link
US (1) US10043087B2 (zh)
EP (1) EP3319009B1 (zh)
CN (1) CN104951769B (zh)
WO (1) WO2017000537A1 (zh)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104951769B (zh) * 2015-07-02 2018-11-30 京东方科技集团股份有限公司 活体识别装置、活体识别方法和活体认证系统
CN106778459B (zh) * 2015-12-31 2021-02-12 深圳市汇顶科技股份有限公司 指纹识别的方法及其指纹识别装置
CN106384101B (zh) * 2016-09-28 2019-10-11 京东方科技集团股份有限公司 触摸方法、触摸面板及触摸装置
CN107992794B (zh) * 2016-12-30 2019-05-28 腾讯科技（深圳）有限公司 一种活体检测方法、装置和存储介质
CN108392192B (zh) * 2017-02-07 2021-02-12 原相科技股份有限公司 光感测方法、生理参数计算方法以及光感测系统
FR3063163B1 (fr) * 2017-02-21 2021-10-08 Commissariat Energie Atomique Capteur d'empreinte a led au nitrure de gallium.
CN107527013A (zh) * 2017-07-17 2017-12-29 广东欧珀移动通信有限公司 识别虹膜活体的方法及相关产品
CN107527020A (zh) * 2017-07-31 2017-12-29 广东欧珀移动通信有限公司 生物识别方法及相关产品
CN107443387A (zh) * 2017-09-29 2017-12-08 上海与德通讯技术有限公司 智能识别方法及机器人
CN110214328B (zh) * 2019-04-15 2021-03-19 深圳市汇顶科技股份有限公司 指纹识别的方法、装置和电子设备
CN111723665A (zh) * 2020-05-20 2020-09-29 北京集创北方科技股份有限公司 生物特征信息采集系统与处理方法
CN112200120B (zh) * 2020-10-23 2023-06-30 支付宝(杭州)信息技术有限公司 一种身份识别方法、活体识别方法、装置及电子设备
WO2022246741A1 (zh) * 2021-05-27 2022-12-01 京东方科技集团股份有限公司 可穿戴显示设备
CN115482589A (zh) * 2022-08-18 2022-12-16 支付宝(杭州)信息技术有限公司 攻击对象检测方法及装置、介质、设备及产品

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101625616A (zh) * 2008-07-07 2010-01-13 索尼株式会社 图像输入/输出设备及其校正方法、以及输入图像的方法
CN103559472A (zh) * 2013-10-17 2014-02-05 步步高教育电子有限公司 一种识别卡片身份标识码的装置及方法
CN104091107A (zh) * 2014-07-21 2014-10-08 友达光电股份有限公司 身份辨识装置及身份辨识装置的操作方法
CN104951769A (zh) * 2015-07-02 2015-09-30 京东方科技集团股份有限公司 活体识别装置、活体识别方法和活体认证系统

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040252867A1 (en) * 2000-01-05 2004-12-16 Je-Hsiung Lan Biometric sensor
JP4469476B2 (ja) * 2000-08-09 2010-05-26 パナソニック株式会社 眼位置検出方法および眼位置検出装置
JP3858263B2 (ja) * 2001-11-09 2006-12-13 日本電気株式会社 指紋画像入力装置及びそれを用いた電子機器
JP4208491B2 (ja) * 2002-06-11 2009-01-14 キヤノン株式会社 撮像装置及び指紋認識装置
US7596247B2 (en) * 2003-11-14 2009-09-29 Fujifilm Corporation Method and apparatus for object recognition using probability models
JP4464965B2 (ja) * 2004-10-04 2010-05-19 日立オートモティブシステムズ株式会社 個人識別装置
JP2009031903A (ja) * 2007-07-25 2009-02-12 Sony Corp 生体認証装置
JP5065965B2 (ja) * 2008-03-31 2012-11-07 富士通株式会社 非接触型生体認証装置の生体誘導制御方法及び非接触型生体認証装置
CN101344827A (zh) * 2008-08-22 2009-01-14 李兴文 光触摸屏和触摸笔
KR101136153B1 (ko) * 2010-02-19 2012-04-16 성균관대학교산학협력단 지문 인식 또는 멀티 터치가 가능한 센서 그리드 방식의 투명 패널 사용자 입력 장치, 사용자 지문 인식 방법, 및 사용자 터치 인식 방법
DE102011119137A1 (de) * 2010-11-25 2012-05-31 Marquardt Gmbh Bedienvorrichtung
US8718362B2 (en) * 2012-03-28 2014-05-06 Mitsubishi Electric Research Laboratories, Inc. Appearance and context based object classification in images
US8437513B1 (en) * 2012-08-10 2013-05-07 EyeVerify LLC Spoof detection for biometric authentication
US8369595B1 (en) * 2012-08-10 2013-02-05 EyeVerify LLC Texture features for biometric authentication
US8483450B1 (en) * 2012-08-10 2013-07-09 EyeVerify LLC Quality metrics for biometric authentication
US9530052B1 (en) * 2013-03-13 2016-12-27 University Of Maryland System and method for sensor adaptation in iris biometrics
WO2015005959A1 (en) * 2013-04-01 2015-01-15 Patrick Baudisch A touchscreen capable of fingerprint recognition
US9224042B2 (en) * 2013-04-17 2015-12-29 Honeywell International Inc. Cross-sensor iris matching

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101625616A (zh) * 2008-07-07 2010-01-13 索尼株式会社 图像输入/输出设备及其校正方法、以及输入图像的方法
CN103559472A (zh) * 2013-10-17 2014-02-05 步步高教育电子有限公司 一种识别卡片身份标识码的装置及方法
CN104091107A (zh) * 2014-07-21 2014-10-08 友达光电股份有限公司 身份辨识装置及身份辨识装置的操作方法
CN104951769A (zh) * 2015-07-02 2015-09-30 京东方科技集团股份有限公司 活体识别装置、活体识别方法和活体认证系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3319009A4 *

Also Published As

Publication number Publication date
EP3319009A4 (en) 2019-02-27
EP3319009A1 (en) 2018-05-09
CN104951769A (zh) 2015-09-30
CN104951769B (zh) 2018-11-30
EP3319009B1 (en) 2024-04-24
US20170193317A1 (en) 2017-07-06
US10043087B2 (en) 2018-08-07

Similar Documents

Publication Publication Date Title
WO2017000537A1 (zh) 活体识别装置、活体识别方法和活体认证系统
US5751835A (en) Method and apparatus for the automated identification of individuals by the nail beds of their fingernails
EP2755163B1 (en) Biometric information image-capturing device, biometric authentication apparatus and manufacturing method of biometric information image-capturing device
CN110582780A (zh) 指纹识别和防伪的方法、装置和电子设备
US10216978B2 (en) Fingerprint identification device and fingerprint identification method
US20110007951A1 (en) System and method for identification of fingerprints and mapping of blood vessels in a finger
CN104318213A (zh) 一种利用人体手掌生物信息识别身份的方法
WO2019024319A1 (zh) 手指静脉图像采集装置以及智能锁
KR20190097706A (ko) 비접촉식 지문 인식 장치 및 비접촉식 지문 인식 방법
WO2016172856A1 (zh) 用于识别人脸的装置、系统、方法和计算机程序产品
JP2009009403A (ja) 生体認証装置及び生体検知方法
CN112668540B (zh) 生物特征采集识别系统及方法、终端设备和存储介质
WO2020082401A1 (zh) 一种指纹采集方法及装置、采用该指纹采集装置的产品
CN112668539A (zh) 生物特征采集识别系统及方法、终端设备和存储介质
CN104063679A (zh) 血管图像拍摄装置
JP2006288872A (ja) 血管画像入力装置、血管画像構成方法、およびこれらを用いた個人認証システム
CN213844156U (zh) 生物特征采集识别系统和终端设备
US12056222B2 (en) Display device including a fingerprint sensor and a method of driving the same
US20170372124A1 (en) Unobtrusive identity matcher: a tool for real-time verification of identity
EP4276682A1 (en) Biometric acquisition and recognition system and method, and terminal device
CN210691315U (zh) 一种基于线性阵列式迷你led的光声强度防伪识别装置
CN105893973B (zh) 一种超薄型静脉识别装置及其识别方法
WO2021020661A1 (ko) 초음파 기반의 이중 생체정보 인식장치 및 생체정보 데이터 처리 방법
KR101068397B1 (ko) 위조지문 검출이 가능한 광학식 지문입력 장치
CN109993027B (zh) 一种指纹传感器

Legal Events

Date Code Title Description
REEP Request for entry into the european phase

Ref document number: 2016726475

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 15104748

Country of ref document: US

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16726475

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 2016726475

Country of ref document: EP