JPH04102187A - Paper money discriminating device - Google Patents

Abstract

PURPOSE:To discriminate a counterfeit with high accuracy by detecting and fetching paper money multilevel data from data to be discriminated, executing a prescribed arithmetic to each area after dividing into block areas, collating with standard arithmetic data, and discriminating denomination and the counterfeit of the paper money to be discriminated. CONSTITUTION:A sensor part reads the printed, pattern of the design and the like of the paper money to be discriminated by a sample clock from a sample timing pulse generator. A data dividing means 41 executes an arithmetic process based on an external size address selected in a paper money multilevel data selecting means 40 and divides the paper money multilevel data into the plural block areas equally. A paper money discriminating means 43 reads out standard average value data in the block area corresponding to each paper money by a standard data storage part 44 of a control data storage memory 32, and it is discriminated that the paper money of this smallest added value is the denomination of the paper money to be discriminated. Thus, based on the whole printed pattern of the paper money to be discriminated, the denomination of money and the counterfeit can be decided.

Description

Detailed Description of the Invention (Industrial Application Field) The present invention is an automatic cash deposit/withdrawal device installed in a financial institution, etc., which detects the conveyance direction of banknotes and then determines the denomination and authenticity of the banknotes. The present invention relates to a bill discriminating device for discriminating banknotes.

(Prior Art) An automatic cash deposit/withdrawal device or the like is provided with a bill discriminating device in order to distinguish the denomination, authenticity, etc. of bills deposited by a customer and store them in a safe. Further, even when dispensing banknotes from an automatic cash deposit/withdrawal device to a customer, a banknote discriminating device is provided to check the denomination and authenticity of the banknotes in advance.

This type of banknote discriminating device is provided with a sensor unit that detects the intensity of reflected light or transmitted light from the banknote, facing the banknote to be discriminated while being conveyed. Further, in the case of detecting the magnetic characteristics of magnetic ink used for printing on the device to be determined, a sensor section including a magnetic sensor is provided.

FIG. 2 shows an explanatory diagram of a conventional general banknote reading state when using the sensor section as described above.

In the conventional banknote discriminating device, the banknote 1 to be discriminated is indicated by the arrow 2.
When the banknote is conveyed in the direction shown in FIG. For example, when detecting reflected light, the sensor section obtains an electrical signal whose intensity changes depending on the printing pattern of the banknote 1 to be determined. This signal takes a characteristic value corresponding to the specific area 4 determined by the denomination and the direction in which it is transported.

FIG. 3 shows a block diagram of a banknote discrimination device that processes such signals.

The illustrated device includes a sensor section 10, an analog/digital conversion circuit (A/D) 11 that receives its output, a buffer memory 12, a comparison circuit 13, an arithmetic processing circuit 14, a discrimination circuit 15, a sample timing pulse generator 16, It consists of an address counter 17 and a standard pattern memory 18.

The output of the sensor unit 10 is a continuous analog signal whose intensity changes as the bill to be discriminated is conveyed. This is converted into a digital signal by the analog/digital conversion circuit 11 according to the timing output from the sample timing pulse generator 16. As a result, a large number of digital gradation data (signals to be determined) corresponding to the read electrical signals are stored in the buffer memory 12 for one banknote to be determined. This is called a data signal to be determined.

The standard pattern memory 18 stores a standard pattern signal to be compared with the data signal to be determined.

FIG. 4 is an explanatory diagram of a banknote discrimination method using a conventional banknote discrimination device. This graph shows the signal level on the vertical axis and the sampling point on the horizontal axis. The solid line is a standard pattern signal, with the signal above indicating the upper limit value 19A and the signal below indicating the lower limit value 19B.

For example, if this is a standard pattern signal for a specific direction in which a 10,000 yen note exists, then when a 10,000 yen note is read in the same direction, the data signal to be discriminated as shown by the hard line in the figure 5- is obtained.

The address counter 17 in FIG.
The data signal to be discriminated stored in the standard pattern memory 1-8 and the standard pattern signal stored in the standard pattern memory 1-8 are sequentially read out and outputted to the comparison circuit m13. The comparison circuit 13 compares whether the data signal to be determined is between the upper limit value and the lower limit value of the standard pattern signal, and outputs the comparison result to the arithmetic processing circuit 14 . Arithmetic processing circuit 14
, performs certain calculations based on the comparison results made at a large number of sampling points, and outputs data to the discrimination circuit 15 for discriminating the denomination, conveyance direction, authenticity, etc. of the bill to be discriminated. . The discrimination circuit 15 outputs the discrimination result to an external circuit (not shown).

Incidentally, the standard Batak signal to be stored in the standard pattern memory 18 as described above is normally generated as follows.

First, the sensor section 1o shown in FIG. 3 reads a specific area "4" (see FIG. 2) of a plurality of genuine banknotes and collects signals corresponding to the printing pattern. Then, the maximum and minimum values of the read h signal are determined for each sampling point. If we plot this as shown in Figure 4, we get
The upper limit value 19A and lower limit value 19B of the standard patternin signal can be specified.

As can be seen from the graph in FIG. 4, the difference between the upper limit and the lower limit changes variously for each sampling point depending on the content of the printing pattern of the banknote. This is because the width of variation is different.

Furthermore, even if the same banknote is used, the standard pattern signal is different when the banknote is transported with the right side of the front facing the sensor and when the banknote is transported with the left side of the front facing the sensor. different. Of course, the same applies when the reverse side is used. Therefore, Bank of Japan notes include "10,000 yen notes" and "
Since there are three types, ``5,000 yen note'' and ``1,000 yen note,'' four types of standard pattern signals are set for each denomination, considering the front and back sides and the conveyance direction.

(Problem to be solved by the invention) However, as mentioned above, the optimum specific area 4 (
(see Figure 2), it is necessary to collect and analyze a huge amount of data such as the design on the front and back of each banknote and in each direction of conveyance, so if the design of the banknote changes, it is necessary to It takes a lot of effort and time to select the specific area 4.

Further, if there is a markedly soiled or missing part in a specific area of the banknote to be determined, or if there is a detection error in the device itself, there is a risk that a genuine banknote will be erroneously determined as a counterfeit banknote or vice versa.

Furthermore, if the specific area 4 is set using only genuine banknotes with little dirt, the discrimination criteria will be strict, increasing the likelihood that genuine banknotes will be discriminated from counterfeit banknotes and rejected.

The present invention has been made with attention to the above points, and an object of the present invention is to provide a bill discriminating device that can discriminate the denomination and authenticity of bills to be discriminated with high accuracy without collecting and analyzing a huge amount of data. With the goal.

(Means for Solving the Problems) The present invention includes a sensor unit that reads all print patterns of banknotes to be discriminated, and a data storage memory in which data to be discriminated including banknote gradation data obtained from the sensor unit is stored. A banknote discrimination device comprising: a banknote gradation data selection means for searching and extracting banknote gradation data from the data to be discriminated;
A data division means that divides the selected banknote gradation data into a plurality of block areas, a data calculation unit that processes the divided gradation data for each block area, and a data calculation unit that processes the calculated data for each block area in advance. It is characterized by having a banknote determination means that compares each set standard calculation data for each banknote.

(Operation) The data to be discriminated read by the sensor section and stored in the data storage memory includes banknote gradation data based on all printing patterns on the front or back side of the banknote to be discriminated.

The banknote gradation data selection means searches only the banknote gradation data from the data to be discriminated and extracts it.

The data dividing means divides this banknote gradation data into a plurality of block areas.

The data calculation means performs a predetermined calculation on the divided gradation data for each block area to create calculation data.

The banknote determining means compares each calculation data with each standard calculation data for each banknote set in advance, and determines the denomination and authenticity of the banknote to be determined. 'Thereby, the denomination and authenticity of the banknote to be determined can be determined based on the entire printing pattern of the banknote, and standard calculation data can also be easily obtained.

(Example) Hereinafter, an example of the present invention will be described in detail with reference to the drawings.

FIG. 5 is a schematic diagram of the bill discriminating device according to the present invention.

In FIG. 5, 20 is a sensor unit that reads a one-dimensional image, and this sensor unit 2o prints a pattern, etc. on the banknote P to be discriminated (see FIG. 6) using a sample clock from a sample timing pulse generator 21. Perform pattern reading operation. The analog (gradation) signal output from the sensor section 20 is amplified to an optimum value by the amplifier section 22, and converted into a digital signal (data to be determined) by an analog/digital converter (A/D) 23.

This determined data is temporarily stored in the register 24,
Further, it is stored in the buffer memory 27. The data to be discriminated stored in the buffer memory 27 is stored at an address position designated by the address select circuit 29 of the data storage memory 26.

The data storage memory 26 is composed of 5-RAM. The address select circuit 29 has a sensor select circuit 2.
5 is connected. This sensor select circuit 25 outputs the address corresponding to the sensor selected by the sensor section 20 to the address select circuit 29. The sensor select circuit 25 and address select circuit 29 are connected to the CPU 28 via a data bus 30 and an address bus 31, respectively. A control data storage memory 32 is connected to the CPU 28 via these buses 30 and 31. This control data storage memory 32 is composed of a ROM, and a C
A program for controlling the PU 28 and performing calculation processing to be described later is stored.

FIG. 6 is a configuration diagram of the sensor section 2o described above. That is,
This sensor unit 2o includes LEDs 33 as light emitting elements arranged on both sides of the entrance of the conveyance path of the banknotes P to be discriminated.
and a light receiving transistor 34 as a light receiving element,
Each pair of LED 33 and light receiving transistor 34 constitute a transmission type position sensor and output a reading start signal.

Further, the sensor unit 20 has an LED array 35 as a light source, and the emitted light is reflected by the bill P to be discriminated and enters the self-hock lens array 36 .

The incident light received by the cell-hoc lens array 36 is received by the one-dimensional image sensor 37. Image sensor 37
An amplifying section 22 is connected to the output side of the amplifier as shown in FIG.

A conveyance roller 38 for conveying the bill P to be discriminated is arranged below the sensor section 2o. The conveying roller 38 has a black peripheral surface in order to minimize the reflectance of the light emitted from the LED array 35.

FIG. 1 is a functional block diagram of the CPU 28.

In FIG. 1, reference numeral 40 indicates banknote gradation data selection means. This selection means 40 searches only the banknote gradation data from the data to be discriminated obtained from the sensor section 20 and extracts it. That is, the data to be determined read by the sensor unit 2° includes unnecessary data read by the reflected light from the conveyance roller 28 and banknote gradation data read from the print pattern of the banknote P to be determined. Therefore, the banknote gradation data selection means 4o searches the data storage memory 26 based on the digital slice value as will be described later, and selects the external shape address where the banknote gradation data is stored.

Further, 41 indicates data dividing means. The data dividing means 41 performs arithmetic processing as described later based on the external shape address selected by the banknote gradation data selection means 40 to equally divide the banknote gradation data into a plurality of block areas. That is, in this embodiment, one side of the banknote P to be discriminated is
The block area is divided equally into block areas, and the boundaries of each block area are calculated as boundary addresses.

Further, 42 indicates data calculation means. The data calculation means 42 extracts the divided gradation data for each block area based on the boundary address, and calculates the average value of the divided gradation data for each block area. The average value of each block area is stored in internal memory 45.

Furthermore, 43 indicates banknote determination means. The banknote determining means 43 reads the standard average value data in the corresponding block area for each banknote from the standard data storage section 44 of the control data storage memory 32, and calculates the standard average value data and the data calculation means 42 for each block area. Find the difference between each calculated average value and add the absolute values. Then, it is determined that the banknote with the smallest added value is the denomination of the banknote P to be determined. However, if the minimum added value is equal to or higher than the set level, the bill is determined to be counterfeit.

Next, the operation of the banknote discriminating device according to the present invention will be explained with reference to the operation flowchart shown in FIG.

First, in FIG. 6, when the banknote P to be discriminated is carried into the conveyance path and the light reception of one of the light receiving transistors 34 is interrupted, a detection signal is sent from the light receiving transistor 34 to the CPU 28. When the CPU 28 receives this detection signal,
The sensor section 2o and the conveyance roller 38 are operated. Therefore, as the banknote P to be determined is conveyed, the printed pattern on one side of the banknote P is read by the one-dimensional image sensor 37.
The sensor unit 20 outputs an analog signal to be determined (step 1).

The signal to be determined is amplified to the optimum value in the amplifying section 22, and the A/
The D converter 23 converts it into a digital (data to be determined) signal. This determined data is stored in the register 24 as it is.

On the other hand, the sensor select circuit 25 outputs a corresponding address to the address select circuit 29 every time a pixel of the image sensor 37 of the sensor section 20 is selected under the control of the CPU 28 . The address select circuit 29 thereby directly accesses the data storage memory 26 and specifies the storage address.

Therefore, since the CPU 28 does not access the data storage memory 26, the data to be determined in the register 24 can be stored in the data storage memory 26 via the buffer memory 1/27 in a short time.

By the way, assuming that the number of pixels in the main scanning direction in the image sensor 37 of the sensor section 20 is 256, the data to be determined is stored at addresses xxoo to XXFF in the data storage memory 26, as shown in FIG. Further, if the number of scans of the banknote P to be determined in one time in the sub-scanning direction is 256,
The data to be determined is stored in the data storage memory 26 at addresses 0OXX-FFXX. That is, the data to be determined on one side of the banknote P to be determined is 00 in the data storage memory 26.
Stored at addresses 00 to FFFF. In this case, if the gradation data per pixel is composed of 1 byte, the number of data to be determined in the entire print pattern on one side of the banknote P to be determined and the pattern on the circumferential surface of the conveyance roller 38 will be 64 bytes (see Figure 8). .

When all the data to be discriminated is stored in the data storage memory 26, the banknote gradation data selection means 40 of the CPU 28 accesses the control data storage memory 32 and reads the selection control program. Thereby, this selection means 4o selects the outer shape address of the banknote gradation data included in the data to be determined based on the digital slice value. The digital slice value is set to 40 H' (hexadecimal in hexadecimal system) in this embodiment. That is, the edges of the banknotes P to be discriminated are not printed and the amount of reflected light is large, whereas the peripheral surface of the conveying roller 38 is black, so the amount of reflected light is small. Therefore, when the digital slice value is set to 40H, if it is larger than this value, it can be determined that it is the edge of the bill P to be discriminated.

Now, in step 2 (FIG. 7), the bill gradation data selection means 40 moves the bill P to be discriminated diagonally so that the left side comes first when the left light receiving transistor 34 outputs the detection signal first. It is determined that the address is being transported, and in step 3, the address select circuit 29 is controlled to select the address F.
F0O, FEOO, ...0000, FF0I, F
The EOI... are sequentially output to the data storage memory 26.

As a result, each pixel data is sent from the data storage memory 26 via the buffer memory 27 and the data bus 30 in the order of these read addresses. The data selection means 4° compares each of these pixel data with the digital slice value 40H, and detects the address of the pixel data exceeding this slice value. In this embodiment, as shown in FIG. 8, the address of the FCOI (pixel data indicated by CA) is detected, and this corresponds to the left end of the banknote P to be discriminated.

Next, the banknote gradation data selection means 40 selects the address 0OFF.
, 0IFF, 02FF, ...FFFF, 0OF
E, 04FE, . . . are sequentially output to the data storage memory 26, and the pixel data sent in the order of these addresses is compared with the digital slice value 40H. In this case, the address of pixel data exceeding the slice value is 04FD ((
, 8), which corresponds to the right end of the banknote P to be discriminated.

Next, the banknote gradation data selection means 40 selects the address 000.
0.0001.0002. -0OFF, 0100.0
101-... are sequentially output to the data storage memory 26, and the pixel data sent in the order of these addresses is compared with the digital slice value 40H. In this case, the address of the pixel data exceeding the slice value is 0302 (pixel data indicated by BA), which corresponds to the leading edge of the banknote P to be discriminated.

Finally, the banknote gradation data selection means 40 selects the address FFF.
F, FFFε, FFFD,...FF0O, FEF
F, FEFE, . . . are sequentially output to the data storage memory 26, and the pixel data sent in the order of these addresses is compared with the digital slice value 40H. In this case, the address of pixel data exceeding the slice value is FDFC (BF
pixel data indicated by ), which corresponds to the rear end of the banknote P to be discriminated.

Above FCOl, 04FD, 0302. FDFC
The storage address of the banknote gradation data can be determined based on the external shape address.

These outline addresses are supplied to data dividing means 41. The data division means 41 reads the division control program from the control data storage memory 32 in step 4.

That is, the data dividing means 41, for example,
is defined as ``βj, 04FD as r m J, FCOI as rpJ, and FDFC as rqJ, and is judged as two-dimensional x and y without banknote gradation data. Figure 9 shows the banknote gradation data based on the external address. This is an example expressed in two dimensions of x and y.

Next, the data dividing means 41 each address "β", "□J
. For example, address “β” is 0302, so Q (H) =03=
, y-axis, and Ω (Ω)=02=x-axis. Therefore, address rmJ is 04FD, so m (h) □04□ '
J axis, m (Ω) = FD = x axis, address rpJ is FCOL, so p (h) □FC = y axis, p (i
2) □01=x axis, address rqJ is FDFC, so
q (h) = FD = y axis, q (12)・FC =
This becomes the x-axis.

Subsequently, the data dividing means 41 calculates the boundary address of each area using the following equation in order to divide the banknote gradation data into block areas. In other words, the boundary address A)ly when dividing address "f2" and rmJ into 8 is A, = ((m(Ω)-Ω((2)/8)xx+Ω(Ω)
−(1)Ay・((m(h)−Ω(h)/
8) It can be expressed as xy+Ω(h) −(2).

In addition, the boundary address CXF when dividing addresses rpJ and rqJ into 8 is C,・((q(Ω) −p (Q) /8) xx+p
(Q) ...(3)Cy・((q (h
) −p (h)/8)xy+p (h)
...It can be shown as (4).

Furthermore, the boundary address B
C,) /2'+C,=A,+C,...(5)B,...
(Cy-Ay) / 2”Ay=Ay”Cy
...It can be shown as (6).

When the banknote gradation data is divided into 16 using the above equations (1) to (6), it can be divided into block areas 21 to z16, as shown in FIG. Therefore, the bill to be determined P
Since it has both front and back sides, it is divided into 32 block areas.

In this way, when the banknote gradation data is divided into 16 block areas, the data calculation means 42 is divided into 16 block areas.
The average value of the 218 divided gradation data is calculated (step 5). That is, the data calculation means 42 reads the calculation program from the control data storage memory 32, and first calculates all the addresses included in the block area Z. The pixel data corresponding to the address of the data storage memory 26, that is, the divided gradation data, is sent to the select circuit 29 and taken in.

Then, the average value of the divided tone data in this block area Zt is calculated as 76. That is, if the number of pixels in the block area ZI is t, and the number of gradation data of each pixel is e, it can be calculated as follows.

Hereinafter, similarly, the data calculation means 42 operates on other block areas 2.
Each average value of ``72 to 71B'' of 2 to Z+a is calculated based on the above equation (7).

Each obtained block area 2. ~ Z I8 average value 7, ~
2'16 is stored in the internal memory 45.

When the calculation of the average value is completed, the banknote determining means 43 takes in the standard average value data from the standard data storage section 44 of the control data storage memory 32. This standard average value data is for standard multiple 10,000 yen tickets.

It is obtained by dividing the front and back sides of a ``5,000 yen note'' and ``1,000 yen note'' into 16 block areas in the same way as described above, and calculating the average value for each of the two loading directions. It is stored in the standard data storage section 44. Therefore, if the standard average value data pattern is Skn, then = 12 depending on the front and back of the three denominations and the two loading directions, and since n is divided into 16 block areas 71 to 216, n = 1 to 216. 16
becomes.

Next, the banknote determining means 43 calculates the average value data Sll to 5116 of each block area in the first pattern 5In of the standard average value data (for example, a pattern obtained by carrying in the front side of a ten thousand yen bill from one direction), The difference between the average values 71 to 716 in each of the block areas 21 to Z+s of the bill P to be discriminated stored in the internal memory 45 is calculated after being converted into binary data, and the absolute value of the difference is determined. That is, the calculated average value is 71 to 7. D1~ with r s as binarized data
Convert to DI8 and calculate the absolute value of the difference from the average value data Sll~5116 I S++-D+ I, I S+□-0
21...I S++5-Dos l is determined. 10th
The figure shows the calculation results of these absolute values, and the pattern Sln
The absolute value of is 5H when n=1 and 78. when n=2. n=3
AH at n=4, 48 at n=15, 2H at n=15, n=16
It is CH.

Hereinafter, the banknote determination means 43 similarly selects other patterns S2n,
S3n...S1□. Average value data for each,
The absolute value of the difference from the calculated average value is determined.

・Next, the bill determining means 43 selects each of the 12 patterns S.
Add the absolute values at I n"" S I 2n.

That is, each pattern S1. ．． Letting the added value of ~512n be Gk, it can be obtained as follows.

Finally, the bill determining means 43 checks each pattern S1. ．． ~s
The respective added values Gk of L2n are compared, and the banknote with the pattern of the smallest added value is determined to be the banknote P to be discriminated.

That is, in FIG. 10, since the S3n pattern shown by G,=7H has the smallest added value, it is determined that the banknote shown by this S3n pattern is of the corresponding denomination.

In the above embodiment, if the smallest additional value Gk is greater than or equal to the set range, the banknote determining means 43 determines that the banknote P to be determined is a counterfeit banknote.

As another embodiment, the data calculation means 42 described above may integrate the divided gradation data of each block area Z+ to 218. In this case, standard integral value data is stored in the standard data storage section 44 in advance. This standard integral value data is based on multiple standard ``10,000 yen notes,'' ``5,000 yen notes,'' and ``1,000 yen notes.''
The front and back sides of the image are divided into 16 block areas, and integral values are calculated for each of the two loading directions. Then, as shown in FIG.
~Standard integral value data of each block area for each SI2,
Find the absolute value of the difference between the calculated integral value of each block area, and similarly detect the minimum value of the added value C1 of the absolute values,
It is determined that the banknote is the banknote P to be determined.

In the above two embodiments, only one side of the banknote P to be discriminated is placed in the block area 2. ~Z+s, and the denomination and authenticity are determined. However, both the front and back sides of the banknote P to be determined may be divided into block areas and used for determining the denomination, etc. In this case, sensor sections 20 are provided at the top and bottom, respectively.

Furthermore, it goes without saying that the block area can be arbitrarily divided into 16 or more or 16 or less blocks instead of being divided into 16 blocks.

Furthermore, the average value 'Z, ~''7:16 is simply added, this added value is compared with the added value of the standard average value for each pattern, and the denomination is determined if the difference is within a certain range. You can also do this.

Further, although the sensor section 20 is configured with a reflective image sensor 37, the same effect can be obtained by using a transmissive image sensor or a magnetic sensor.

(Effects of the Invention) As described above, according to the present invention, banknote gradation data is retrieved from the data to be determined read by the sensor unit, divided into a plurality of block areas, and a predetermined value is assigned to each area. The denomination and authenticity of the banknotes to be determined are determined by comparing the calculated data with the standard calculation data obtained in advance, so that a huge amount of data regarding banknotes can be collected and analyzed. The denomination and authenticity of banknotes to be determined can be determined with high precision without having to do so. Therefore, it is possible to provide a banknote discriminating device that can quickly and accurately determine the denomination, etc. of a banknote even if the design of the banknote is changed or a new banknote is issued.

[Brief explanation of drawings]

Fig. 1 is a functional block diagram according to the present invention, Fig. 2 is an explanatory diagram of a conventional banknote reading state, Fig. 3 is a block diagram of a conventional banknote discrimination device, and Fig. 4 explains a conventional banknote discrimination system. , FIG. 5 is a block diagram of a banknote discrimination device according to the present invention,
FIG. 6 is a configuration diagram of a sensor section according to the present invention, FIG. 7 is an operation flowchart according to the present invention, FIG. FIG. 9 is a diagram showing banknote gradation data divided into block regions, FIG. 10 is a diagram showing the calculation results of absolute values for each block region, and FIG. 11 is a diagram showing the calculation of absolute values for each block region according to another embodiment. It is a figure showing a result. 20...Sensor unit, 26...Data storage memory, 2
8...CPU, 29...Address select circuit, 3
8... Conveyance roller, 40... Bill gradation data selection means, 41... Data division means, 42... Data calculation means, 43... Bill determination means, 44... Standard data storage section , 45...internal memory. Fig. 2 Fig. 1 Fig. 3 Mechanical diagram of the sensor section of the invention Fig. 6 Invention 1 Threading operation 70-cha Fig. 7

Claims (3)

[Claims] (1) A banknote discriminating device comprising: a sensor unit that reads all printed patterns of banknotes to be determined; and a data storage memory in which data to be determined including banknote gradation data obtained from the sensor unit is stored; A banknote gradation data selection means for searching and extracting the banknote gradation data from the data; a data dividing unit for dividing the selected banknote gradation data into a plurality of block areas; A banknote discriminating device comprising: a data calculation means for performing calculation processing; and a banknote determination means for comparing the calculation data for each block area subjected to calculation processing with each standard calculation data for each banknote set in advance. (2) The data calculation means calculates the average value of the divided gradation data for each block area, and the banknote determination means holds each standard average value data for each banknote, and each standard average value data for each banknote. Claim (1) characterized in that the absolute value of the difference between the calculated average value and the calculated average value is added, and the banknote showing the minimum added value is determined to be the banknote to be determined.
The banknote discrimination device described. (3) The data calculation means integrates the divided gradation data for each block area to calculate respective integral data, and the banknote determination means holds each standard integral data for each banknote, and stores each standard integral data for each banknote. 2. The banknote discriminating device according to claim 1, wherein the absolute value of the difference between the integral data and each of the integral data is added, and a banknote exhibiting the smallest added value is determined to be the banknote to be discriminated.