JPH04163686A - Paper money discriminating device - Google Patents

Abstract

PURPOSE:To execute the stable and highly precise discrimination of paper money by detecting the edge position of the paper money from the physical feature data of the detected paper money, and calculating the amounts of oblique travel of plural places of the paper money by using this paper money edge position, and correcting the oblique travel by the mean value of these plural amounts of oblique travel. CONSTITUTION:A paper money edge detecting means 19 detects the paper money edge position from the physical feature data detected by a pattern detecting means 16. An oblique travel calculating means 20 calculates the amounts of oblique travel of plural places of the paper money on the basis of this paper money edge position, and a mean value calculating means 21 calculates the means value of plural amounts of oblique travel to plural places. An oblique travel correcting means 18 rearranges the physical feature data of the paper money detected by the pattern detecting means 16 on the basis of the mean value of the amounts of oblique travel so that the degree of oblique travel is reduced, and this rearranged physical feature data of the paper money is compared with a reference value set beforehand by a comparing means 24, and further, a discriminating means 25 executes the discrimination of the kind of money and the genuineness, etc., of the paper money from a compared result. Thus, even the paper money with a missing part can be stably and highly precisely discriminated.

Description

DETAILED DESCRIPTION OF THE INVENTION (Field of Industrial Application) The present invention relates to a bill validating device, and particularly to skew correction thereof.

(Prior Art) When a banknote is inserted by a customer into an automatic deposit/withdrawal machine or vending machine, processing is performed to determine the denomination of the banknote, whether it is front or reverse, and further to determine its authenticity. It can be done. For this purpose, banknote validating devices are used in automatic teller machines and automatic vending machines.

A banknote identification device detects an optical pattern or a magnetic pattern based on reflected light or transmitted light from the pattern or figure of the inserted banknote, and compares this with a preset reference value to determine whether the banknote is similar or similar. Identification was performed based on the degree of similarity or by combining this degree of similarity with the detection result of the external dimensions of the banknote.

In order to detect the above optical pattern, LEDs, photodiodes, and phototransistors are used.

A CCD or the like is used, and a magnetic head or the like is used to detect the magnetic pattern.

However, if the banknotes are conveyed in a skewed manner, the position at which the detected pattern is compared with the stored reference value will be shifted, and there is a possibility that the inserted banknotes will not be correctly identified. Therefore, the banknote validating device detects the amount of skew of the banknote, and uses the detected skew value to correct the effect of the skew to reduce the effect of skew for discrimination.

FIG. 2 is a perspective view showing the configuration of a detection section in a conventional banknote validating device.

In the figure, a banknote 1 is configured to be conveyed on a banknote conveyance path 2 in the direction of the arrow in the figure by a conveyance means (not shown).

Two LEDs (light emitting diodes) 3C and 3B are installed below the banknote 1 on the front side in the banknote transport direction with a predetermined interval in the direction perpendicular to the banknote transport direction.
Photodiodes 4A and 4B are installed above the banknotes 1 being conveyed corresponding to the positions D3A and 3B. These LEDs 3A, 3B and photodiodes 4A, 4B are:
The LED 3A and the photodiode 4A, and the LED 3B and the photodiode 4B are paired to detect the arrival of the banknote 1, and the presence or absence of the banknote is detected by receiving the light emitted from the LEDs 3A and 3B by the photodiodes 4A and 4B. It is configured.

Behind these two pairs of detection units in the banknote transport direction is an image sensor 5 that detects an image pattern of reflected light from the banknote 1.
is located.

When the banknote 1 is transported by a transport means (not shown), the detection unit for the banknote 1 configured as described above turns on the LEDs 3A and 3B.
The arrival of the banknote 1 is detected by blocking the light from the banknote 1.

Next, the image sensor 5 detects the image pattern of the banknote 1 from the light reflected from the banknote 1 by light emitted from a light emitting means (not shown).

The bill validating device discriminates the bill 1 based on the detection signal from the image sensor 5 and the detection signals from the photodiodes 4A and 4B.

Next, a conventional banknote validating device using such a detection section will be explained.

FIG. 3 is a block diagram showing a conventional banknote validating device.

In the figure, pattern detection means 6 is comprised of the image sensor 5 shown in FIG. 2, etc., and is a means for detecting an image pattern using reflected light from the banknote l.

The banknote detection means 7.8 is composed of an LED 3A, a photodiode 4A, an LED 3B, a photodiode 4B, etc., and is a means for detecting the arrival of the banknote 1.

The temporary storage means 9 is a buffer memory that stores the output signal from the pattern detection means 6.

The skew calculation means 10 calculates the degree of skew of the banknote 1 based on the difference in arrival time of the banknote 1 output from the banknote detection means 7 and 8 or the difference in the number of pulses output every time the banknote 1 is conveyed a certain distance. This is an arithmetic circuit that performs calculations.

The skew correction means 11 is a skew correction circuit that sequentially reads out the reflected light pattern data stored in the negative time storage means 9 and rearranges the reflected light pattern data based on the skew value calculated by the skew calculation means 10.

The storage unit 12 is a memory that stores data rearranged by the skew correction unit 11.

The reference value storage means 13 is a memory in which preset reference value data of the banknote 1 is stored.

The comparison means 14 is composed of a comparison circuit, etc., which compares the data of the banknote l stored in the storage means 12 and the reference value data of the reference value storage means 13.

The determining means 15 includes a determining circuit, etc., which determines the denomination of the inserted banknote 1, whether it is front or reverse, and whether it is genuine or false, based on the comparison result of the comparing means 14.

Next, the operation will be explained.

When the banknote 1 is transported by a transport means (not shown), its arrival is detected by the banknote detection means 7.8. Then, the banknote calculation means 10 calculates the interval between the installation positions of the banknote detection means 7.8 and the time difference between the arrival of the banknotes 1 detected by both means 7.8 or the pulse output every time the banknote 1 is conveyed a certain distance. The degree of skew of the banknote 1 is calculated based on the difference in numbers, and this calculated value is output to the skew correction means 11.

Further, when the arrival of the banknote 1 is detected by the banknote detection means 7.8, the pattern detection means 6 scans in a direction perpendicular to the conveyance direction of the banknote 1, detects and outputs the reflected light pattern of the banknote 1.

FIG. 4 is a diagram illustrating how the pattern detection means 6 scans.

That is, if the point obtained by scanning is expressed as (x, y), the pattern detection means 6 first detects (0, 0).

(1,0), (2,,0), ... (n, O) are scanned in the order, and then the next (0, 1) , (1,
1) Scan , (2,1), -(n, I).

Furthermore, (0,2), (1,2), (2,2)= (n
,2), (0,3).

. . . (n, m) and the reflected light pattern of a part of the banknote are scanned, and the data of this part of the banknote is stored in the temporary storage means 9.

The skew value calculated by the skew calculation means 10 indicates the angle between the X direction and the long side of the banknote l in FIG. The reflected light pattern is input to the skew correction means 11. The skew correction means 11 is
- The reflected light patterns stored in the time storage means 9 are sequentially read out and rearranged based on the skew value calculated by the skew calculation means 10. Further, the reflected light pattern of a portion of the rearranged banknotes l is stored in the storage means 12.

Next, the comparison means 14 compares the reflected light pattern stored in the storage means 12 and the reference value stored in the reference value storage means 13. Then, the determining means 14 determines the denomination of the banknote 1, whether it is front or reverse, and whether it is genuine or false based on the comparison result, and notifies the connected host device of the determination result.

(Problems to be Solved by the Invention) However, with the above-mentioned conventional banknote validating device, there are cases in which the oblique angle of a banknote 1 that is partially missing cannot be accurately determined.

FIG. 5 shows a banknote 1 with such a partially missing part.

That is, in the case where the missing part 1a of the banknote 1 being conveyed is just lost in the banknote detecting means 7.8, the missing part 1a
Since the oblique angle is calculated using the edge of the banknote,
It was not possible to determine the exact oblique angle.

Therefore, if the skew angle is inaccurate, the skew cannot be corrected accurately, making it impossible to perform highly accurate banknote discrimination. There was a possibility that the judgment could be made incorrectly or the truth or falsity may be incorrectly determined.

In addition, in order to detect the skew of the banknote 1, a banknote detection means 7.8 is required separately from the pattern detection means 6 that detects the physical characteristics of the banknote 1, which makes the structure complicated and the device large. There were problems such as increased cost and increased cost.

The present invention has been made in order to solve the above-mentioned conventional problems, and is capable of stably and highly accurate banknote recognition even for banknotes with missing parts, and is capable of achieving downsizing and cost reduction. The purpose is to provide

(Means for Solving the Problems) The banknote validating device of the present invention includes a pattern detection means for detecting the physical characteristics of the banknotes being conveyed, and a pattern detection means for detecting the physical characteristics of the banknotes detected by the pattern detection means. a banknote edge detection means for detecting a banknote edge position; a skew calculation means for calculating skew amounts at a plurality of locations of the banknote based on the output of the banknote edge detection means; and a plurality of skew amounts calculated by the skew calculation means an average value calculating means for calculating an average value of the amount of skew at each location; and skewing physical characteristic data of the banknote detected by the pattern detecting means based on the average skew value calculated by the average value calculating means. skew correction means for rearranging the banknotes so that the degree of skew is reduced; a comparison means for comparing the physical characteristic data of the banknotes sorted by the skew correction means with a preset reference value; and a comparison result of the comparison means. and discriminating means for discriminating the banknotes from the banknotes.

(Function) The device of the present invention detects the physical characteristics of banknotes using pattern detection means.

Further, the bill edge detection means detects the bill edge position from the physical characteristic data of the bill detected by the pattern detection means.

The skew calculation means calculates the amount of skew of the banknote at a plurality of locations based on the banknote end position, and the average value calculation unit calculates the average value of the skew values at the plurality of locations.

The skew correction means rearranges the physical characteristic data of the banknotes detected by the pattern detection means based on the average value of the skew values so that the degree of skew is reduced, and the skew correction means rearranges the physical characteristic data of the banknotes detected by the pattern detection means based on the average value of the skew values. is compared with a preset reference value by the comparison means, and furthermore, the discrimination means determines the denomination of the banknote,
Distinguish authenticity, etc.

Therefore, even if a banknote is partially missing, for example, the average amount of skew at a plurality of locations is determined, so that the effect of the missing part is small and highly accurate skew correction can be performed. Further, there is no need for a separate means for detecting skewed feeding of banknotes, and the size and cost can be reduced.

(Example) Hereinafter, the bill validating device of the present invention will be explained in detail using the example shown in the drawings.

FIG. 1 is a block diagram showing a banknote validating device of the present invention.

The device shown in the figure includes a pattern detection means 16 and a -time storage means 17.
, skew correction means 18, bill end detection means 19, skew calculation means 2o, average value calculation means 21, storage means 22, reference value storage means 23, comparison means 24, and discrimination means 25.

The pattern detection means 16 is a means for detecting physical characteristics of banknotes conveyed by a conveyance means (not shown), and is composed of an image sensor 5 made of an LED or a fluorescent tube, and a COD shown in FIG. 2, etc.

The temporary storage means 17 is a buffer memory that stores the output signal from the pattern detection means.

The skew correction means 18 sequentially reads the physical characteristic data (pattern data) of the banknotes stored in the - time storage means 17, and corrects the skew of the banknotes based on the average skew value calculated by the average value calculation means 21. It is a means of rearranging the data so that the influence of rows is reduced, and consists of a processor, etc.

The bill edge detection means 19 is a detection circuit that detects the bill edge position from the pattern data of the bill detected by the pattern detection means 16.

The skew calculation means 20 is a calculation circuit that calculates the amount of skew (skew angle) at a plurality of locations of the banknote from the banknote edge position detected by the banknote edge detection unit 19 .

The average value calculation means 21 is a calculation circuit that calculates the average value of the skew amounts at a plurality of locations calculated by the skew calculation means 2o.

The storage means 22 is a memory that stores the data rearranged by the skew correction means 18.

The reference value storage means 23, like the conventional reference value storage means 13, is a memory in which preset banknote reference value data is stored.

The comparing means 24 and the discriminating means 25 include a comparing circuit for comparing the physical characteristic data of the banknote stored in the storing means 22 and the reference value data in the reference value storing means 23, as in the conventional case. It consists of a discrimination circuit that discriminates the denomination of the banknote, whether it is front or reverse, and whether it is genuine or false based on the comparison results.

Next, the operation of the bill validating device having the above configuration will be explained.

When a banknote inserted into an automatic teller machine or the like is conveyed to a banknote validating device by a banknote conveyance means (not shown), the arrival of the banknote is detected by a signal from a banknote detection means (not shown) or a host device, and the pattern detection means 16 detects the arrival of the banknote. Start detecting the reflected light pattern.

This detection will be explained with reference to FIG. 4. Similar to the conventional technique, this detection is a detection in which one line is scanned in the X direction every time a banknote is conveyed a certain distance. In other words, the points obtained by scanning are (χ, y
), the order in which the pattern detection means 16 scans is (0,0), (1,0), (2,0).

..., (n, Q), (0, ln, ...,
(n, I), (Q, 2), ..., (n,
m), and all these patterns are stored in the temporary storage means 17.
is memorized.

On the other hand, the banknote edge detection means 19 detects the position of the banknote edge based on the pattern data obtained when one line is scanned in the X direction from the output signal of the pattern detection means 16.

FIG. 6 is a graphical representation of the pattern when scanning one line in the X direction at the i-th direction.

The banknote edge detection means 19 calculates the pattern difference ((n+1)-n in FIG. 6) in the X direction from such a signal, and detects areas where the result is larger than a preset value or smaller than a preset value. Let be the banknote end position.

FIG. 7 shows a differential waveform of such a pattern.

In FIG. 7, XIJ and Xlk are larger and smaller than the set value, indicating the banknote end position.

Moreover, FIG. 8 is a diagram for explaining the banknote end position of the banknote 100.

That is, in FIG. 8, the pattern when the i-th scan in the X direction corresponds to the waveform in FIG. 6, and x, xl
k is the banknote end position. In addition, i of xIJ and xlk is
The value of the direction is shown, and j represents the starting end side of the banknote edge when scanning from left to right in FIG. 8, and k represents the trailing end side.

Next, the calculation of the skew value by the skew calculation means 20 will be explained.

As shown in Fig. 8, if the banknote ends of the i+1st pattern in the X direction are Xi◆th J and Xz*+1++, one yen 1
While the 00 is conveyed from the i-th to the i+1-th, the edge of the banknote changes xl, 1°-XIJ.

Therefore, the oblique angle θ1 is obtained by the following equation.

θ+= jan-' (1/ (XII+II J-X
IJ) ) - (1) For example, the conveyance distance in the case of conveyance from the i-th to the i+1-th in the X direction can be determined by counting the number of pulses output every time the object is conveyed a certain distance.

The average value calculation means 21 calculates the average value τ of the plurality of skew angles θ1 obtained by the skew calculation means 2o using the following equation.

Te=Σ0θr / (l s−e l+1) ・・
・(2) In this formula (2), S and e are values in the X direction including the apex of the banknote 100, as shown in FIG.
There is a side between S and e for which the oblique value is to be determined.

Note that the number of the plurality of skew values θ1 for calculating the average value τ is set to an appropriate value in consideration of the discrimination error of circulating banknotes.
It is configured to detect the skew value θ1 at intervals of about 1.0 mm.

Then, the skew correction means 18 arranges the pattern data of the banknotes 100 read from the -time storage means 17 so as to reduce the influence of skew, based on the average value of the skew angles obtained by the average value calculation means 21. Change. This sorting is
:X IJ+y: Execute by coordinate transformation that performs rotation by angle τ using s as a reference point.

The pattern data of banknotes +00 rearranged by the skew correction means 18 is stored in the storage means 22, and the stored pattern data of banknotes 100 is compared with the reference value stored in the reference value storage means 23 by the comparison means 24. be compared.

The comparison means 24 compares the denomination with all the reference values stored in the reference value storage means 22, and calculates the sum of the differences for each denomination and its front, back, forward, and reverse directions.

The determining means 25 determines the sum of the differences from the reference values obtained for each model and its front and back, assuming that the smallest denomination and its front and back are the same as the inserted banknote 100. This discrimination result is notified to a higher-level device (not shown).

In the above embodiment, the physical characteristics of the banknote 100 are detected using the reflected light of the banknote 100, but the detection is not limited to this, and for example, the physical characteristics of the banknote 100 may be detected using transmitted light. You may do so.

(Effects of the Invention) As described in detail above, according to the present invention, the banknote edge position is detected from the physical characteristic data of the banknote detected by the pattern detection means, and the banknote edge position is used to detect the banknote Since the amount of skew at each location is calculated and the skew is corrected using the average value of these multiple skew values, for example, even if a banknote is partially missing, the effect of the missing part is small.
It is possible to perform stable and highly accurate banknote discrimination.

Further, since a detection means for detecting the amount of skew of banknotes is not required, the device can be made smaller and less expensive.

[Brief explanation of the drawing]

FIG. 1 is a block diagram of a bill validating device according to an embodiment of the present invention, FIG. 2 is a perspective view of a detection unit of a conventional bill validating device, FIG. 3 is a block diagram of a conventional bill validating device, and FIG. 4 is a block diagram of a conventional bill validating device. An explanatory diagram of scanning by the pattern detection means, FIG. 5 is a front view of a banknote with a part missing, FIG. 6 is a waveform diagram showing the output waveform of a certain scanning line, and FIG. 7 is a diagram showing the difference waveform of the output of a certain scanning line. The waveform diagram shown in FIG. 8 is an explanatory diagram of a banknote skew calculation. 16... Pattern detection means, 18... Skew correction means, 19... Banknote edge detection means, 20... Skew calculation means, 21... Average value calculation means, 23... Reference value Storage means, 24... Comparison means, 25... Discrimination means, 100
···bill. Fig. 2: Perspective view of the detection unit of the conventional device Fig. 3: Block diagram of the conventional device Fig. 3: x=01234---
. Fig. 4: Front view of a banknote with one bank missing; Fig. 5: Diagram of differential branching of the output of a certain scanning line; Fig. 7: Explanation of skew calculation for banknotes. Figure 8

Claims (1)

[Scope of Claims] A pattern detection means for detecting physical characteristics of a banknote being conveyed; a banknote edge detection means for detecting a banknote edge position from physical characteristic data of the banknote detected by the pattern detection means; , skew calculation means for calculating the skew amount at a plurality of locations of the banknote based on the output of the bill edge detection means; and an average for calculating an average value of the skew amount at the plurality of locations calculated by the skew calculation means. Based on the average skew value obtained by the value calculation means and the average value calculation means,
skew correction means for rearranging the physical characteristic data of the banknotes detected by the pattern detection means so as to reduce the degree of skew; and the physical characteristic data of the banknotes rearranged by the skew correction means; A banknote validating device, comprising: a comparing means for comparing with a preset reference value; and a determining means for validating the banknote based on the comparison result of the comparing means.