WO2017028667A1 - 指纹识别的方法及系统 - Google Patents

指纹识别的方法及系统 Download PDF

Info

Publication number
WO2017028667A1
WO2017028667A1 PCT/CN2016/091973 CN2016091973W WO2017028667A1 WO 2017028667 A1 WO2017028667 A1 WO 2017028667A1 CN 2016091973 W CN2016091973 W CN 2016091973W WO 2017028667 A1 WO2017028667 A1 WO 2017028667A1
Authority
WO
WIPO (PCT)
Prior art keywords
fingerprint
image
camera
lens
processing module
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/CN2016/091973
Other languages
English (en)
French (fr)
Inventor
蒋锦扬
叶芳耀
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.)
Fujian Landi Commercial Equipment Co Ltd
Original Assignee
Fujian Landi Commercial Equipment 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 Fujian Landi Commercial Equipment Co Ltd filed Critical Fujian Landi Commercial Equipment Co Ltd
Priority to ES16836531T priority Critical patent/ES2954987T3/es
Priority to EP16836531.0A priority patent/EP3309709B1/en
Priority to BR112018001464A priority patent/BR112018001464A2/pt
Publication of WO2017028667A1 publication Critical patent/WO2017028667A1/zh
Priority to US15/871,150 priority patent/US10438043B2/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • 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
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
    • 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
    • G06V40/1324—Sensors therefor by using geometrical optics, e.g. using prisms
    • 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
    • G06V40/1365—Matching; Classification

Definitions

  • the present invention relates to the field of biometrics, and in particular, to a method and system for fingerprint recognition.
  • the prior patent discloses a fingerprint identification access control management system, including: a fingerprint entry module, a fingerprint verification module, an electronic lock module and a liquid crystal display module, wherein the fingerprint entry module includes a fingerprint camera And a storage unit, wherein the fingerprint image captured by the fingerprint camera is stored in the storage unit, the fingerprint verification module includes a fingerprint comparison unit and a fingerprint identification unit, and the electronic control lock module includes a user name and a password input, and the liquid crystal display
  • the module includes a liquid crystal display, and the fingerprint entry module, the fingerprint verification module, and the liquid crystal display module are connected to the electronically controlled lock module.
  • the comparison file does not involve the acquisition and processing of images. This is an important step in obtaining a highly accurate fingerprint image.
  • the technical problem to be solved by the present invention is: using a common camera to acquire a fingerprint image, and performing comparison processing to obtain a fingerprint, which is convenient in operation and low in cost.
  • the technical solution adopted by the present invention is: Providing a method for fingerprint identification, comprising:
  • the present invention further provides a fingerprint recognition system, including a camera, a lens and an image processing module, and performs the following steps:
  • S1 aligning the camera so that the focus of the camera is aligned with the lens
  • S2 the camera continuously acquires a fingerprint image formed by the finger pressing the lens, and sends the fingerprint image to the image processing module;
  • S3 The image processing module processes the fingerprint image to obtain a fingerprint.
  • the beneficial effects of the present invention are as follows: Different from the prior art, the present invention obtains a pressed finger fingerprint from a lens by focusing the camera and the lens, and sends it to the image processing module for processing to acquire a fingerprint. In the above manner, the invention can realize the acquisition of the fingerprint by using an ordinary camera, and the operation is convenient and the cost is low.
  • Embodiment 1 is a schematic flow chart of Embodiment 1 of a method according to the present invention.
  • Embodiment 2 is a schematic flowchart of Embodiment 2 of a method according to the present invention.
  • FIG. 3 is a schematic view of components in a specific embodiment of the present invention.
  • FIG. 4 is a schematic diagram of an operation component for acquiring a fingerprint in a specific embodiment of the present invention.
  • FIG. 5 is a structural block diagram of a third embodiment of a system according to the present invention.
  • the most critical idea of the present invention is: taking a fingerprint image through a normal camera and processing to obtain a fingerprint.
  • a first embodiment of the present invention provides a fingerprint identification method, including:
  • S1 aligning the camera such that the focus of the camera is aligned with the lens
  • S2 the camera continuously acquires the fingerprint image formed by the finger pressing lens, and sends the fingerprint image to the image processing module;
  • S3 The image processing module processes the fingerprint image to obtain the fingerprint.
  • the first embodiment of the present invention obtains a pressed finger fingerprint from the lens by focusing the camera and the lens, and sends the fingerprint to the image processing module to obtain a fingerprint.
  • the invention only needs to adopt an ordinary camera to realize the acquisition of the fingerprint, the operation is convenient, and the cost is low.
  • the second embodiment of the present invention further includes [0027] S31: attaching an anti-fingerprint film on the outer side of the lens.
  • a fingerprint recognition auxiliary structure 3 is added to the autofocus camera 2 of the ordinary PDA or the mobile phone 1.
  • the auxiliary structure is a hollow lens barrel, one side can cover the camera 2, and the other side is provided with a lens 4.
  • An anti-fingerprint film is attached on the outer side of the lens 4, and the film is directly in contact with the finger, so that the finger is pressed against the lens 4, and no fingerprint remains. After the finger is pressed on the lens 4, a fingerprint path is formed on the other side of the lens 4. The image, the fingerprint can pass through the lens 4 and is captured by the camera 2.
  • the present invention aligns the focus of the camera 2 with the center of the lens 4, and autofocus can be achieved by the autofocus camera.
  • step S2 the method further includes:
  • S22 connecting the camera and the image processing module through the CSI interface.
  • the purpose of setting the camera to the continuous preview state is to obtain a fingerprint image, and can make adjustments according to needs, and ,, including adjusting the finger pressing position or focal length to obtain the fingerprint image with the best definition.
  • the image is continuously sent to the image processing module.
  • the image processing module may be a device such as a CPU that can execute processing of an image.
  • step S2 is specifically:
  • S20 according to the YUV format, the camera determines whether the brightness component value Y is less than a preset value
  • the camera sends the previewed picture to the CPU through the CSI interface for processing, and judges the YUV format. Since the finger is not pressed, the brightness of the picture captured by the camera is high, and after the finger is pressed, the picture is dark. Therefore, by judging the change in the Y value of the brightness signal of the screen, it is judged whether or not a finger is pressed.
  • the brightness preset value can be set. If it is lower than the preset value, it means that there is a finger press, then the camera captures the fingerprint image; if the brightness is greater than the preset value, it means that the finger press is not detected, and the user needs to press again. Finger, and further obtain the image, repeat the judgment step, and then send the photographed image to the CPU, and the CPU performs image processing.
  • step S3 of processing the fingerprint image is specifically:
  • S32 the image processing module converts the fingerprint image into a black and white grayscale image, and performs binarization processing to obtain a black and white texture image;
  • S33 extracting feature values of the black and white texture image, and sending the system to the background comparison
  • S34 Acquire a fingerprint according to the comparison result.
  • the processing flow is: converting a color image of the fingerprint image captured by the camera into a black and white grayscale image, and then performing binarization processing of the image, and obtaining a black and white grain image of the fingerprint after binarization, and then patterning the image
  • the feature values are extracted, and the identified feature values are sent to the background of the system for comparison. By comparing the results, the fingerprint recognition is successful. If successful, the fingerprint is obtained. Otherwise, the next operation is waited.
  • the second embodiment of the present invention obtains a clear finger fingerprint by attaching an anti-fingerprint film on the outer side of the lens, and determines whether a finger press is sensed according to the change of the brightness, so as to automatically realize shooting.
  • image processing module image conversion and feature value extraction are performed to achieve the ultimate goal of fingerprint acquisition.
  • the invention can realize the acquisition of the fingerprint by using an ordinary camera, and the operation is convenient and the cost is low.
  • a third embodiment of the present invention provides a system 100 for fingerprint recognition, including a camera 110, a lens 120, and an image processing module 130, and performs the following steps:
  • S1 aligning the camera 110, so that the focus of the camera 110 is aligned with the lens 120;
  • S2 the camera 110 continues to acquire the fingerprint image formed by the finger pressing lens, and sent to the image processing module 130;
  • S3 The image processing module 130 processes the fingerprint image to acquire a fingerprint.
  • step S3 the method further includes: [0051] S31: an anti-fingerprint film is attached on the outer side of the lens 120.
  • step S2 the method further includes:
  • S22 The camera 110 and the image processing module 130 are connected through a CSI interface.
  • step S2 is specifically:
  • S20 according to the YUV format, the camera 110 determines whether the brightness component value Y is less than a preset value
  • Shijie' then executes S23: the camera 110 takes a photo to obtain a fingerprint image, and sends it to the image processing module
  • step S3 is specifically:
  • S32 The image processing module 130 converts the fingerprint image into a black and white grayscale image, and performs binarization processing to obtain a black and white texture image;
  • S33 extracting feature values of the black and white texture image, and sending the system to the background comparison
  • S34 Acquire a fingerprint according to the comparison result.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Optics & Photonics (AREA)
  • Image Input (AREA)
  • Collating Specific Patterns (AREA)
  • Studio Devices (AREA)

Abstract

一种指纹识别的方法及系统，其中方法包括：S1：调准摄像头，使得摄像头的焦点对准透镜；S2：摄像头持续获取手指按压透镜形成的指纹图像，并发送到图像处理模块；S3：图像处理模块对所述指纹图像进行处理，获取指纹。通过上述方式，只需采用普通的摄像头，即可实现对指纹的获取，操作便捷，而且成本低。

Description

指纹识别的方法及系统 技术领域
[0001] 本发明涉及生物识别技术领域， 尤其是涉及一种指纹识别的方法及系统。
背景技术
[0002] 随着科技不断进步和对安全识别要求的不断提高， 使用指纹作为识别的应用越 来越广泛， 现有支持指纹的电子设备上， 大多直接采用指纹模块， 光学式的、 半导体式的等等， 光学式的模块结构复杂， 而半导体式的普遍价格较高， 对于 产品设计的限制较多。
[0003] 现有专利 （申请号： 201310352969.0) 公幵了一种指纹识别门禁管理系统， 包 括： 指纹录入模块、 指纹验证模块、 电控锁模块和液晶显示模块， 所述指纹录 入模块包括指纹摄像头和存储单元， 所述指纹摄像头拍摄的指纹画面保存在所 述存储单元内， 所述指纹验证模块包括指纹对比单元和指纹辨识单元， 所述电 控锁模块包括用户名和密码输入， 所述液晶显示模块包括液晶显示器， 所述指 纹录入模块、 指纹验证模块和液晶显示模块与所述电控锁模块相连。 对比文件 中却没有涉及到对图像的获取以及处理。 而这却是获得精确度高的指纹图像的 重要步骤。
技术问题
[0004] 本发明所要解决的技术问题是： 使用普通摄像头获取指纹图像， 并进行比对处 理， 获取指纹， 操作便捷、 成本低。
问题的解决方案
技术解决方案
[0005] 为了解决上述技术问题， 本发明采用的技术方案为： 提供一种指纹识别的方法 ， 包括：
[0006] S1 : 调准摄像头， 使得摄像头的焦点对准透镜；
[0007] S2: 摄像头持续获取手指按压透镜形成的指纹图像， 并发送到图像处理模块； [0008] S3： 图像处理模块对所述指纹图像进行处理， 获取指纹。 [0009] 为解决上述问题， 本发明还提供一种指纹识别的系统， 包括摄像头、 透镜及图 像处理模块， 并执行如下步骤：
[0010] S1 : 调准摄像头， 使得摄像头的焦点对准透镜；
[0011] S2: 摄像头持续获取手指按压透镜形成的指纹图像， 并发送到图像处理模块； [0012] S3： 图像处理模块对所述指纹图像进行处理， 获取指纹。
发明的有益效果
有益效果
[0013] 本发明的有益效果在于： 区别于现有技术， 本发明通过对焦摄像头与透镜， 从 透镜上获取按压的手指指纹， 并发送到图像处理模块进行处理， 以获取指纹。 通过上述方式， 本发明只需采用普通的摄像头， 即可实现对指纹的获取， 操作 便捷， 而且成本低。
对附图的简要说明
附图说明
[0014] 图 1为本发明方法实施例一的流程示意图；
[0015] 图 2为本发明方法实施例二的流程示意图；
[0016] 图 3为本发明具体实施例中各部件示意图；
[0017] 图 4为本发明具体实施例中获取指纹的操作部件示意图；
[0018] 图 5为本发明系统实施例三的结构框图。
具体实施方式
[0019] 本发明最关键的构思在于： 通过普通摄像头拍摄指纹图像， 并处理获得指纹。
[0020] 请参照图 1， 本发明实施例一提供一种指纹识别的方法， 包括：
[0021] S1 : 调准摄像头， 使得摄像头的焦点对准透镜；
[0022] S2: 摄像头持续获取手指按压透镜形成的指纹图像， 并发送到图像处理模块； [0023] S3： 图像处理模块对所述指纹图像进行处理， 获取指纹。
[0024] 区别于现有技术， 本发明实施例一通过对焦摄像头与透镜， 从透镜上获取按压 的手指指纹， 并发送到图像处理模块进行处理， 以获取指纹。 通过上述方式， 本发明只需采用普通的摄像头， 即可实现对指纹的获取， 操作便捷， 而且成本 低。
[0025]
[0026] 如图 2~4所示， 在实施例一的基础上， 本发明实施例二在步骤 S3之前， 还包括 [0027] S31 : 在透镜的外侧贴上防指纹贴膜。
[0028] 由于专门用于指纹采集的摄像头通常价格高昂， 因此本发明的实施例均可采用 现有普通的摄像头， 如普通高清摄像头 （像素≥500万） 即可， 本发明实施例中 可在普通的 PDA或手机 1的自动对焦摄像头 2外增加一个指纹识别辅助结构 3， 该 辅助结构为中空镜筒， 一侧可罩住摄像头 2， 另一侧上设有透镜 4。 在透镜 4的外 侧贴上防指纹贴膜， 该贴膜直接和手指接触， 这样手指按压在透镜 4上吋， 不会 残留指纹， 手指按在透镜 4上后在透镜 4的另一面会形成含有手指纹路的图像， 指纹能够透过透镜 4， 并被摄像头 2捕捉到。 本发明将摄像头 2的焦点对准透镜 4 的中心位置， 可通过自动对焦摄像头实现自动对焦。
[0029] 其中， 步骤 S2之前， 还包括：
[0030] S21 : 设定摄像头为持续预览状态；
[0031] S22: 通过 CSI接口连接摄像头与图像处理模块。
[0032] 设置摄像头为持续预览状态的目的是可实吋获得指纹图像， 并可根据需要， 及 吋作出调整， 包括调整手指按压位置或焦距， 以获得清晰度最好的指纹图像。 并将图像持续发送到图像处理模块。 所述图像处理模块可以是 CPU等能执行处理 图像的器件。
[0033] 其中， 步骤 S2具体为：
[0034] S20: 根据 YUV格式， 摄像头判断亮度分量值 Y是否小于预设值；
[0035] 若是， 则执行 S23: 摄像头进行拍照获取指纹图像， 并发送到图像处理模块； [0036] 反之， 则摄像头持续获取手指按压透镜形成的指纹图像； 并返回执行 S21。
[0037] 具体地， 摄像头将预览的画面通过 CSI接口送到 CPU进行处理， 进行 YUV格式 的判断， 由于手指没有按下吋， 摄像头拍到的画面亮度较高， 而手指按下后， 画面暗， 因此通过判断画面亮度信号 Y值的变化， 判断是否有手指压上。 在实际 操作中， 可设定亮度预设值， 若低于预设值， 则表示有手指按压， 则摄像头拍 摄获取指纹图像； 若亮度大于预设值， 则表示没有感应到手指按压， 需要用户 重新按压手指， 并进一步获取图像， 重复判断的步骤， 再将拍照图像送给 CPU, CPU进行图像处理。
[0038] 其中， 处理指纹图像的步骤 S3具体为：
[0039] S32: 图像处理模块将指纹图像转换为黑白灰阶图像， 并二值化处理， 获得黑 白纹路图像；
[0040] S33: 提取所述黑白纹路图像的特征值， 并发送到系统后台比对；
[0041] S34: 根据比对结果， 获取指纹。
[0042] 具体地， 处理流程为： 将摄像头拍摄的指纹图像的彩色图片转换为黑白灰阶图 像， 然后进行图像的二值化处理， 二值化后得到指纹的黑白纹路图像， 再对纹 路图像提取特征值， 识别到的特征值发送送到系统后台进行比较， 通过比对结 果， 反馈回指纹识别是否成功， 若成功则获取指纹， 否则， 就等待下一次操作
[0043] 区别于现有技术， 本发明实施例二通过在透镜外侧贴上防指纹贴膜， 获取清晰 的手指指纹， 并并根据亮度的变化， 判断是否感应到手指按压， 以自动实现拍 摄， 在图像处理模块中， 进行图像的转换、 特征值提取， 实现指纹获取的最终 目的。 通过上述方式， 本发明只需采用普通的摄像头， 即可实现对指纹的获取 ， 操作便捷， 而且成本低。
[0044]
[0045] 如图 5所示， 本发明实施例三提供一种指纹识别的系统 100， 包括摄像头 110、 透镜 120及图像处理模块 130， 并执行下述步骤：
[0046] S1 : 调准摄像头 110， 使得摄像头 110的焦点对准透镜 120;
[0047] S2: 摄像头 110持续获取手指按压透镜形成的指纹图像， 并发送到图像处理模 块 130;
[0048] S3： 图像处理模块 130对所述指纹图像进行处理， 获取指纹。
[0049]
[0050] 其中， 步骤 S3之前， 还包括： [0051] S31 : 在透镜 120的外侧贴上防指纹贴膜。
[0052] 其中， 步骤 S2之前， 还包括：
[0053] S21 : 设定摄像头 110为持续预览状态；
[0054] S22: 通过 CSI接口连接摄像头 110与图像处理模块 130。
[0055] 其中， 步骤 S2具体为：
[0056] S20: 根据 YUV格式， 摄像头 110判断亮度分量值 Y是否小于预设值；
曰
[0057] 石疋 ' 则执行 S23: 摄像头 110进行拍照获取指纹图像， 并发送到图像处理模块
130；
[0058] 反之， 则返回执行 S21。
[0059] 其中， 步骤 S3具体为：
[0060] S32: 图像处理模块 130将指纹图像转换为黑白灰阶图像， 并二值化处理， 获得 黑白纹路图像；
[0061] S33: 提取所述黑白纹路图像的特征值， 并发送到系统后台比对；
[0062] S34: 根据比对结果， 获取指纹。

Claims

权利要求书
一种指纹识别的方法， 其特征在于， 包括：
S1 : 调准摄像头， 使得摄像头的焦点对准透镜；
S2: 摄像头持续获取手指按压透镜形成的指纹图像， 并发送到图像处 理模块；
S3： 图像处理模块对所述指纹图像进行处理， 获取指纹。
根据权利要求 1所述指纹识别的方法， 其特征在于， 步骤 S3之前， 还 包括：
S31 : 在透镜的外侧贴上防指纹贴膜。
根据权利要求 1所述指纹识别的方法， 其特征在于， 步骤 S2之前， 还 包括：
S21 : 设定摄像头为持续预览状态；
S22: 通过 CSI接口连接摄像头与图像处理模块。
根据权利要求 1所述指纹识别的方法， 其特征在于， 步骤 S2具体为：
S20: 根据 YUV格式， 摄像头判断亮度分量值 Y是否小于预设值； 若是， 则执行 S23: 摄像头进行拍照获取指纹图像， 并发送到图像处 理模块；
反之， 则执行 S24: 摄像头持续获取手指按压透镜形成的指纹图像； 并返回执行 S20。
根据权利要求 1所述指纹识别的方法， 其特征在于， 步骤 S3具体为： S32: 图像处理模块将指纹图像转换为黑白灰阶图像， 并二值化处理 ， 获得黑白纹路图像；
S33: 提取所述黑白纹路图像的特征值， 并发送到系统后台比对； S34: 根据比对结果， 获取指纹。
一种指纹识别的系统， 其特征在于， 包括摄像头、 透镜及图像处理模 块， 并执行下述步骤：
S1 : 调准摄像头， 使得摄像头的焦点对准透镜；
S2: 摄像头持续获取手指按压透镜形成的指纹图像， 并发送到图像处 理模块；
S3： 图像处理模块对所述指纹图像进行处理， 获取指纹。
[权利要求 7] 根据权利要求 6所述指纹识别的系统， 其特征在于， 步骤 S3之前， 还 包括：
S31 : 在透镜的外侧贴上防指纹贴膜。
[权利要求 8] 根据权利要求 6所述指纹识别的系统， 其特征在于， 步骤 S2之前， 还 包括：
S21 : 设定摄像头为持续预览状态；
S22: 通过 CSI接口连接摄像头与图像处理模块。
[权利要求 9] 根据权利要求 6所述指纹识别的系统， 其特征在于， 步骤 S2具体为：
S20: 根据 YUV格式， 摄像头判断亮度分量值 Y是否小于预设值； 若是， 则执行 S23: 摄像头进行拍照获取指纹图像， 并发送到图像处 理模块；
反之， 则执行 S24:摄像头持续获取手指按压透镜形成的指纹图像； 并 返回执行 S20。
[权利要求 10] 根据权利要求 6所述指纹识别的系统， 其特征在于， 步骤 S3具体为：
S32: 图像处理模块将指纹图像转换为黑白灰阶图像， 并二值化处理 ， 获得黑白纹路图像；
S33: 提取所述黑白纹路图像的特征值， 并发送到系统后台比对； S34: 根据比对结果， 获取指纹。
PCT/CN2016/091973 2015-08-14 2016-07-28 指纹识别的方法及系统 Ceased WO2017028667A1 (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
ES16836531T ES2954987T3 (es) 2015-08-14 2016-07-28 Método y sistema de identificación de huellas digitales
EP16836531.0A EP3309709B1 (en) 2015-08-14 2016-07-28 Fingerprint identification method and system
BR112018001464A BR112018001464A2 (pt) 2015-08-14 2016-07-28 ?método e sistema para identificação de impressão digital?
US15/871,150 US10438043B2 (en) 2015-08-14 2018-01-15 Method and system for identifying fingerprint

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510498076.6 2015-08-14
CN201510498076.6A CN105069435A (zh) 2015-08-14 2015-08-14 指纹识别的方法及系统

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US15/871,150 Continuation US10438043B2 (en) 2015-08-14 2018-01-15 Method and system for identifying fingerprint

Publications (1)

Publication Number Publication Date
WO2017028667A1 true WO2017028667A1 (zh) 2017-02-23

Family

ID=54498797

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/091973 Ceased WO2017028667A1 (zh) 2015-08-14 2016-07-28 指纹识别的方法及系统

Country Status (6)

Country Link
US (1) US10438043B2 (zh)
EP (1) EP3309709B1 (zh)
CN (1) CN105069435A (zh)
BR (1) BR112018001464A2 (zh)
ES (1) ES2954987T3 (zh)
WO (1) WO2017028667A1 (zh)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069435A (zh) * 2015-08-14 2015-11-18 福建联迪商用设备有限公司 指纹识别的方法及系统
CN107644192A (zh) * 2016-07-22 2018-01-30 展讯通信（上海）有限公司 指纹识别方法、装置及电子设备
CN107256383B (zh) * 2017-05-22 2020-01-14 Oppo广东移动通信有限公司 指纹的采集方法、装置及相关终端设备和可读存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1239403A2 (en) * 2001-03-06 2002-09-11 TRW Inc. Method and system for identity verification using multiple simultaneously scanned biometric images
CN1392507A (zh) * 2001-06-18 2003-01-22 日本电气株式会社 指纹输入设备
CN202120281U (zh) * 2011-07-08 2012-01-18 成都方程式电子有限公司 防指纹残留的光学指纹识别模块
CN104680136A (zh) * 2015-02-06 2015-06-03 广东光阵光电科技有限公司 直拍式指纹采集方法及其构造
CN105069435A (zh) * 2015-08-14 2015-11-18 福建联迪商用设备有限公司 指纹识别的方法及系统

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2208179A1 (en) * 1997-06-18 1998-12-18 Roland S. Walch Pointing device with optical fingerprint recognition and tracking capability
US6373969B1 (en) * 1999-03-15 2002-04-16 Activcard Ireland, Limited Corrective optical component
AU1330501A (en) * 1999-10-07 2001-05-10 Veridicom, Inc. Spoof detection for biometric sensing systems
EP1130535A2 (de) * 2000-02-28 2001-09-05 Siemens Aktiengesellschaft Verfahren zum Einsatz eines Fingerabdrucksensors
US7016520B2 (en) * 2002-03-07 2006-03-21 Mark Melvin Butterworth Electronic device with digital camera for general-purpose photography and fingerprint sensing
US7215881B2 (en) * 2002-12-19 2007-05-08 Nokia Corporation Mobile communications equipment with built-in camera
JP4258393B2 (ja) * 2003-03-13 2009-04-30 三菱電機株式会社 個人識別装置および指紋画像撮像装置、指紋画像取得方法
CN101459515B (zh) * 2007-12-14 2011-05-04 深圳富泰宏精密工业有限公司 手持行动电子装置身份认证系统及方法
KR101911763B1 (ko) * 2011-07-11 2018-10-26 도레이 카부시키가이샤 성형 재료, 도료 조성물 및 성형 재료의 제조 방법
US8933445B2 (en) * 2011-12-26 2015-01-13 Research & Business Foundation Sungkyunkwan University Functional thin film for touch screen and method for forming the same
EP2838068B1 (en) * 2012-03-16 2020-02-19 Normee Limited Personal authentication method and personal authentication device
TW201250478A (en) * 2012-09-05 2012-12-16 sheng-long Yang Electronic device and function extension method for electronic device
CN103854013A (zh) * 2012-12-06 2014-06-11 武汉科技大学 一种基于稀疏矩阵的arm指纹识别方法及装置
CN103400435A (zh) 2013-08-14 2013-11-20 常熟合正企业管理咨询有限公司 一种指纹识别门禁管理系统
KR101479609B1 (ko) * 2014-02-26 2015-01-12 주식회사 유니온커뮤니티 카메라가 장착된 휴대 단말기를 이용한 지문입력장치 및 그 지문입력용 외장 광학기기
CN104202475B (zh) * 2014-08-28 2017-03-08 Tcl通讯（宁波）有限公司 一种基于移动终端测量脉搏的方法及系统
US9424458B1 (en) * 2015-02-06 2016-08-23 Hoyos Labs Ip Ltd. Systems and methods for performing fingerprint based user authentication using imagery captured using mobile devices

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1239403A2 (en) * 2001-03-06 2002-09-11 TRW Inc. Method and system for identity verification using multiple simultaneously scanned biometric images
CN1392507A (zh) * 2001-06-18 2003-01-22 日本电气株式会社 指纹输入设备
CN202120281U (zh) * 2011-07-08 2012-01-18 成都方程式电子有限公司 防指纹残留的光学指纹识别模块
CN104680136A (zh) * 2015-02-06 2015-06-03 广东光阵光电科技有限公司 直拍式指纹采集方法及其构造
CN105069435A (zh) * 2015-08-14 2015-11-18 福建联迪商用设备有限公司 指纹识别的方法及系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3309709A4 *

Also Published As

Publication number Publication date
CN105069435A (zh) 2015-11-18
EP3309709A1 (en) 2018-04-18
EP3309709A4 (en) 2018-07-18
US10438043B2 (en) 2019-10-08
US20180137328A1 (en) 2018-05-17
EP3309709B1 (en) 2023-06-07
ES2954987T3 (es) 2023-11-28
BR112018001464A2 (pt) 2018-11-06

Similar Documents

Publication Publication Date Title
CN103096094B (zh) 视觉识别装置和方法
CN103491299B (zh) 一种拍照处理方法和装置
US8350931B2 (en) Arrangement and method relating to an image recording device
US8520116B2 (en) Photographing apparatus and method
US8477993B2 (en) Image taking apparatus and image taking method
JP5293206B2 (ja) 画像検索装置、画像検索方法及びプログラム
US20120275648A1 (en) Imaging device and imaging method and program
CN101715063B (zh) 启动自动对焦功能的方法及其电子装置
US10984216B2 (en) Optical fingerprint recognition system and fingerprint image capturing method
WO2017047012A1 (ja) 撮像装置および撮像装置とサーバとを含むシステム
KR20120118144A (ko) 촬영 장치에서 피사체를 촬영하기 위한 장치 및 방법
CN105765434A (zh) 成像装置、成像方法和程序
CN106416218A (zh) 图像处理装置、摄像装置、图像处理方法以及程序
US10438043B2 (en) Method and system for identifying fingerprint
CN101459770B (zh) 数字拍摄设备及其控制方法
US9025072B2 (en) Camera module and method for adjusting focus of lens in camera module
JP2015019376A (ja) 撮影制御システム及びその制御方法
US20080080751A1 (en) Method of capturing fingerprint image
KR101436322B1 (ko) 비접촉식 촬영이 가능한 촬상장치 및 비접촉식 촬영방법
TWI413003B (zh) Face recognition of the automatic camera method
CN104933338B (zh) 指纹识别感应器拍摄方法及移动设备
CN101521746B (zh) 影像撷取方法及摄像系统
TWI381243B (zh) 可攜式電子裝置及其運作方法
WO2016127530A1 (zh) 拍摄的方法及装置、计算机存储介质
KR102494696B1 (ko) 영상을 생성하는 방법 및 디바이스.

Legal Events

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

Ref document number: 16836531

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

REG Reference to national code

Ref country code: BR

Ref legal event code: B01A

Ref document number: 112018001464

Country of ref document: BR

REG Reference to national code

Ref country code: BR

Ref legal event code: B01E

Ref document number: 112018001464

Country of ref document: BR

Free format text: APRESENTE TRADUCAO SIMPLES DA CERTIDAO DE DEPOSITO DA PRIORIDADE NO PAIS DE ORIGEM OU DECLARACAO, AMBAS CONTENDO TODOS OS DADOS IDENTIFICADORES DA PRIORIDADE, CONFORME ART. 16, 2O, DA LPI.

ENP Entry into the national phase

Ref document number: 112018001464

Country of ref document: BR

Kind code of ref document: A2

Effective date: 20180124