JP2006221431A - Embossed character reading device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To reliably extract and recognize embossed characters and reliably detect counterfeits even when cards with various background tints are used without influencing transaction processing. <P>SOLUTION: Two light sources are provided, and embossed characters are recognized and collated with magnetic data according to differences between an image acquired by emitting light from one in card insertion and an image acquired by emitting light from the other light source in primary card ejection. Alternatively, two light sources are provided, and embossed characters are recognized and collated with magnetic data for counterfeit detection according to differences between an image acquired by emitting light from one in card insertion and an image acquired by emitting light from the other light source in card ejection and, if a counterfeit is detected, the transaction is canceled. Alternatively, two rod lens arrays, image sensors and A/D conversion parts are provided, and embossed characters can be extracted, recognized and collated with magnetic data for counterfeit detection according to differences between acquired images. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an emboss for reading an embossed character used on a card of an automatic teller machine (hereinafter referred to as “ATM”) or an automatic teller machine (hereinafter referred to as “CD”) used in a financial institution or the like. The present invention relates to a character reader.

  Generally, in ATMs and CDs used in financial institutions such as banks, after confirming the identity of the customer using a card with a magnetic stripe called a cash card, transactions such as deposits, withdrawals and transfers desired by the customer Processing is performed.

  At this time, information such as the account number and name is printed and stored in the ATM device together with the transaction details, one is provided to the customer as a transaction statement, and the financial institution as an electronic file using the cash card image as proof of the transaction Saved. The image on the cash card is generally obtained by subjecting optically read image data to certain signal processing.

  As a conventional method for optically reading the embossed character area of the card, as shown in FIG. 12, the regular reflected light from the convex-shaped reflecting portion 31 of the embossed character 1e on the card 1 due to the irradiation light of the light source 3 In general, the reflected light from the shadow 30 is read by an image sensor 2 such as a CCD, and binarized at a predetermined threshold.

Alternatively, it has illumination in multiple directions, sequentially illuminates it, reads the image, binarizes so as to remove the background pattern of each image from the threshold value and shading correction data prepared in advance, and synthesizes this to create an embossed character image (For example, refer to Patent Document 1).
Japanese Patent Laid-Open No. 06-266890

  However, there are various types of cashing cards used in financial institutions in recent years, ranging from white to black, and various colors and designs. Embossed characters are also white and black, and the same pattern as the background. There is a card with a simple background pattern.

  In such a situation, the conventional reading method for binarization based on the level difference between regular reflection and shaded reflected light uses, for example, a black card with little reflected light component or a card with a design with scattered light and darkness. In such a case, there is a problem in that it is impossible to distinguish between a shadow and a background pattern or between a background pattern and an embossed character, and as a result, it is impossible to read the embossed character.

  In addition, in a method having illumination in multiple directions, it is necessary to set shading correction data, a binarization threshold value, etc. for the background pattern of the card in advance, but since there are cards of various colors and designs, It is difficult to prepare a binarization threshold value and shading correction data in advance, and as a result, there is a problem in that the influence of the tint block cannot be removed. Alternatively, even if the card has the same tint block position due to misprinting of the card, there is a problem that proper binarization and correction cannot be performed because it does not match the binarization threshold value and shading correction data prepared in advance.

  In addition, since images are acquired sequentially with a plurality of lights regardless of transaction processing, there is a problem that transaction start time is delayed and the transaction processing is affected.

  The present invention employs the following configuration in order to solve the above-described problems. That is, a plurality of light sources and an image sensor for acquiring image data of the medium are provided, and image data obtained by emitting a predetermined light source when the medium is inserted and a light source other than the predetermined light source when the medium is discharged The embossed characters of the medium are read from the image data generated based on the difference between the acquired image data.

  According to the embossed character / character reading device of the present invention, a plurality of light sources are provided, and image data obtained by emitting a predetermined light source when a medium is inserted and light sources other than the predetermined light source are emitted when the medium is ejected. Since the embossed characters on the medium are read with the image data generated based on the difference between the acquired image data, the embossed characters can be read with a variety of background patterns and color cards without affecting the transaction processing. Thus, by comparing the embossed character reading result with the magnetic data reading result, it is possible to easily detect a counterfeit card in which the magnetic data or the like has been tampered with.

  Embodiments of the present invention will be described below with reference to the drawings. In addition, the same code | symbol is attached | subjected to the element which is common in drawing.

  The embossed character reader of Example 1 is provided with two light sources, and the difference between the image obtained by emitting one light when the card is inserted and the other light source emitted when the card is first ejected. The embossed characters are recognized by the binarized data generated based on the data.

(Constitution)
FIG. 1 is a configuration diagram of an emboss reading device according to the first embodiment. The card 1 shown in the figure is provided with embossed characters such as account numbers and customer names, and magnetic stripes on which magnetic data is recorded, and is conveyed in the suction direction A and the discharge direction B under the control of a control unit (not shown). It is.

  The optical system of the embossing reader according to the first embodiment includes two light sources 2a and 2b, a convergent lot lens array 3 for converging the reflected light from the card 1, and the card with the converged light as input. It consists of an image sensor 4 that acquires image data.

  Further, the field of view of the image sensor 4 is slightly wider than the width of the card 1, so that the a and b portions outside the both ends of the card 1 have less reflected light than the black card 1. The low reflective material 5 with black and fine irregularities is provided.

  As an image processing system that performs image processing using the acquired image data, the A / D conversion unit 7 that digitally converts the output of the image sensor 4 and the non-uniformity of the light amount when the light source A (2a) emits light. Shading correction data A (8a) for correcting the light, shading correction data B (8b) for correcting the non-uniformity of the amount of light when the light source B emits light, and frame memories 10a and 10b for storing the corrected data, respectively. The image compositing unit 11 synthesizes the image data of the frame memories 10a and 10b, and the OCR processing unit 12 that performs character recognition using the synthesized image.

  The image file 15 generated by the image composition unit 11 is transmitted to and stored in a host device (not shown) as a proof of transaction.

  Then, the magnetic data reading unit 6 reads the magnetic data of the card 1 and compares it with the embossed characters read by the OCR processing unit 12 to determine whether the card 1 is forged or not. Is provided so that the determination result 14 can be notified to a host device (not shown).

  In the shading correction data A (8a), when the image data is generated with a luminance of 256 gradations from 0 to 255, when the light source A (2a) is turned on, the low reflection material 5 has a luminance. A correction value is stored so that the brightness that does not saturate is about 250 even if it is about 1 (almost 0), even if it is the most reflective high white card, and the image sensor 4 has a constant field of view with a uniform brightness card. Has been.

  The shading correction data B (8b) stores a correction value for correcting in the same manner when the light source B (2b) is turned on.

(Operation)
With the above configuration, the embossing reading apparatus according to the first embodiment operates as follows. This operation will be described with reference to the operation flowchart of FIG. First, the inhaling operation of the card 1 is started (step S1), and the light source A is emitted (step S2).

  The image illuminated by the light source A (2a) while the card is conveyed in the inhalation direction A is imaged on the image sensor 4 by the lot lens array 3, and this image is acquired by the image sensor 4 for each pixel. In this example, the A / D conversion unit 7 quantizes the gray level to 256 gradations (step S3) and stores it in the frame memory A (10a) while changing the amplification amount from the shading correction data A (8a) (step S4). ).

  The shading correction described above corrects the luminance 1 so that the reflection from the low reflection material 5 at both end portions a and b other than the detection card 1 is almost 0, and the image of the card 1 is saturated (luminance 255) even in the case of a white card. ), And the background pattern and embossed characters are corrected to about 250 so that they will not disappear.

  FIG. 3A shows that the light source A (2a) emits light, and the light A from the light source A (2a) becomes reflected light Ar by the card 1 provided with the embossed characters. . In the drawing, since the light A is regularly reflected in the direction of the image sensor 4 in the reflection portion 31a, this portion becomes an image brighter and brighter than the surroundings, and the shaded portion 30a is darker and lower in luminance.

  When the inhalation of the card 1 is started in step S1, the magnetic data reading unit 6 reads the magnetic data of the card 1 simultaneously with the image capturing process (step S5).

  Next, the image illuminated by the light source B (2b) while the card is transported in the ejection direction B and primarily ejected is imaged on the image sensor 4 from the lot lens array 3, and this image is acquired by the image sensor 4. Then, it is quantized by the A / D converter 7 while changing the amount of amplification from the shading correction data A (8b) for each pixel (step S8) and stored in the frame memory A (10b) (step S9).

  The shading correction described above corrects the luminance 1 so that the reflection from the low reflection material 5 at both end portions a and b other than the detection card 1 is almost 0, and the image of the card 1 is saturated (luminance 255) even in the case of a white card. ), And the background pattern and embossed characters are corrected to about 250 so that they will not disappear.

  In addition, the operation | movement which discharges the card | curd 1 in step S6 is not the operation | movement which returns the card | curd 1, but is an operation | movement which carries a card | curd once in the discharge | emission direction B, and does not return yet, but performs this primary discharge | emission. Since the conveyance distance until the return of the card | curd 1 can be shortened by this, the card return time at the time of the below-mentioned transaction end can be shortened.

  FIG. 3B shows that the light source B (2b) emits light and the light B from the light source B (2b) becomes reflected light Br by the card 1 provided with the embossed characters. . In the drawing, since the light B is regularly reflected in the direction of the image sensor 4 in the reflection portion 31b, this portion becomes an image brighter and brighter than the surroundings, and the shadow portion 30b becomes an image darker and lower in luminance.

  Next, the image composition unit 11 detects the positions of the card 1 by detecting both ends of the card 1 using the image data of the frame memory A (10a) and the frame memory B (10b). As for the both end positions, the reflection from the low reflecting material 5 of both end portions a and b other than the detection card 1 is corrected to “1” by the shading correction in steps S3 and S8. Is larger than “1”, so that it can be easily detected by a predetermined threshold.

  Then, a luminance difference between the image data of the frame memory A (10a) and the frame memory B (10b) is calculated with reference to both end positions of the detected card 1, and pixels having a difference equal to or larger than a predetermined value are calculated as shown in FIG. The shaded portions 30a and 30b and the reflective portions 31a and 31b shown in (a) and (b) are extracted, and this pixel is set as a black pixel, and other pixels smaller than a predetermined value are binarized as white, and an embossed character portion Is extracted (step S10). At this time, the tint block of the card 1 has almost the same luminance after correction, and is therefore deleted during the binarization process.

  The binary image file is transmitted to a host device (not shown) and stored as a proof of transaction (step S11), and is transmitted to the OCR processing unit 12 for character recognition processing (step S12). Note that the image file stored as the proof of the transaction is not binarized when the background pattern or the like needs to be recorded, and either or both of the frame memories A and B (10a, 10b) are used as they are. Or binarized or the like.

  In the black card, the binarization process is performed after correcting the image data of the frame memories A and B (10a, 10b) by γ correction as shown in FIG. 4 to increase the resolution of the black image. It is good to do.

  Further, in the case of printing and leaving a proof of transaction, and in the case of a black card, if the image data is stored by performing the γ correction shown in FIG. An image close to the image recognized by the eyes can be obtained, and a background pattern and an embossed character can be stored as an identifiable image.

  Next, the counterfeit card determination unit 13 performs personal authentication and counterfeit determination using the embossed character result recognized by the OCR processing unit 12 in step S12 and the magnetic data read by the magnetic data reading unit 6 in step S5 ( Step S13).

  If the magnetic data and the embossed character recognition result coincide with each other, the determination result 14 is notified to a host device (not shown) and the like, a transaction process is performed (step S14), and the card 1 is ejected when the transaction process ends (step S14). S15). On the other hand, when the magnetic data and the embossed character recognition result do not match, the determination result 14 is notified to the host device or the like, and when the forgery is determined, the process is terminated without ejecting the card. If it is not counterfeit and personal authentication has failed, the card 1 is ejected and the process is terminated.

  In the authentication / determination process based on the magnetic data and the embossed character recognition result, if a part of the embossed character recognition result is unread or there is a character with a low certainty (certainty) of the recognition result, an incorrect determination result is given. Since there is a possibility of attracting, it is better to exclude from the determination.

  In the above description, it has been described that the light source A emits light during inhalation and the light source B emits light when transported in the discharge direction. However, the light source B emits light during inhalation and transports in the discharge direction. Of course, A may be emitted. In the above description, an example in which two light sources are provided has been described. However, a configuration in which two or more light sources are provided may be used.

  Further, when the light sources 2a and 2b are arranged in parallel as shown in FIG. 1, as shown in FIG. 5A, the shadow of the horizontal embossed portion is the same due to the illumination of the light sources A and B (2a and 2b). The brightness is determined to be a white image. For this reason, as shown in FIG. 6, one of the light sources, in the same figure, the light source B (2b ′) may be attached obliquely. By attaching the light source B (2b ′) at an angle in this way, the shadow of the horizontal embossed part is also obtained because there is a difference between the luminance due to the light source A (2a) and the luminance due to the light source B (2b ′). As the value image, an image having the shape of the embossed character as shown in FIG. 5B can be acquired, and the character can be recognized with high accuracy. Note that the amount of light differs between the portion close to the light source and the portion far from the light source by attaching it obliquely. This correction may be corrected by shading correction B (8b).

(Effect of Example 1)
As described above in detail, according to the emboss reading device of the first embodiment, two light sources are provided, one of which emits light when the card is inserted and read, and the other when the card is first discharged. Embossed characters are recognized by image data generated based on the difference between the acquired image data by emitting a light source, enabling accurate character reading even with a wide variety of cards with different background patterns and colors, and magnetic data The counterfeit card can be easily detected by comparing the read character with the read character.

  The embossed character reading device of Example 2 is provided with two light sources, one of which emits light when the card is inserted and the other light source which emits light when the card is returned after transaction processing. Based on the difference data of the image, the embossed character is recognized, forgery is detected, and when it is determined to be forgery, the transaction process is canceled.

(Constitution)
The embossing reading apparatus according to the second embodiment is the same as the configuration according to the first embodiment described with reference to FIG.

(Operation)
With the above configuration, the embossed reading apparatus according to the second embodiment operates as follows. This operation will be described with reference to the operation flowchart of FIG. In addition, since the operation | movement of step S21-S25 and step S29-S34 is the same as the operation | movement of S1-S5 of Example 1, and S7-S12, the detailed description is abbreviate | omitted for simplification.

  First, an inhaling operation of the card 1 is started. At the same time, a light source A (2a) is emitted and the card is conveyed in the inhalation direction A, and an image formed on the image sensor 4 by the lot lens array 3 is acquired. In the present example, the A / D converter 7 quantizes the gradation to 256 gradations and stores it in the frame memory A (10a) while changing the amplification amount from the shading correction data A (8a). In parallel with the above operation, the magnetic data reading unit 6 reads the magnetic data of the card 1 (steps S21 to S25).

  Then, authentication is performed by the read magnetic data in the same manner as a normal transaction, and when it is normally authenticated, a primary transaction process is performed, and a discharge operation for returning the card is started after the transaction process is completed. (Step S28). This transaction process is not confirmed but is suspended until it is confirmed in step S36 described later.

  Then, while conveying the card 1 in the ejection direction B, the light source B emits light and an image formed on the image sensor 4 is acquired from the lot lens array 3, and the amplification amount is changed from the shading correction data B (8b) for each pixel. However, in this example, the A / D conversion unit 7 quantizes the data to 256 gradations and stores it in the frame memory B (10b). (Steps S29 to S31).

  Then, the image compositing unit 11 detects the positions of both ends of the card 1 using the image data of the frame memory A (10a) and the frame memory B (10b), and with respect to the corresponding pixels on the card 1, The luminance difference between each pixel of the frame memory A (10a) and the frame memory (10b) is calculated, and the shadow portion and the reflection portion of the embossed character are extracted as pixels having a difference of a predetermined value or more. Other pixels smaller than a predetermined value are binarized as white pixels, transmitted to a host device (not shown), stored as proof of transaction, and transmitted to the OCR processing unit 12 for character recognition processing (steps S32 to S32). 34).

  Note that the image file stored as the proof of the transaction is not binarized when the background pattern or the like needs to be recorded, and either or both of the frame memories A and B (10a, 10b) are used as they are. In the same manner as in the first embodiment, the data may be stored after being binarized.

  Then, the counterfeit card determination unit 13 performs counterfeit determination using the embossed character result read by the OCR processing unit 12 in step S34 and the magnetic data read by the magnetic data reading unit 6 (step S35).

  If the magnetic data and the embossed character recognition result match, this is notified to the host device, the transaction is confirmed, the card is returned as it is (steps S36 and S37), and the process is terminated. On the other hand, if the magnetic data and the embossed character recognition result do not match, it is determined to be counterfeit, the determination result 14 is notified to the host device, etc., the primary transaction processing in step S27 is canceled, and the card 1 is not returned. The process ends (step S38).

  In the authentication / determination process based on the magnetic data and the embossed character recognition result, if a part of the embossed character recognition result is unread or there is a character with a low certainty (certainty) of the recognition result, an incorrect determination result is given. Since it may be attracted, it is preferable to exclude it from the determination as in the first embodiment.

  Also, in order to eliminate the problem of white pixels in the horizontal portion of the embossed characters, one of the light sources as shown in FIG. 6 and the light source B (2b ′) in FIG. Similar to Example 1.

(Effect of Example 2)
As described above in detail, according to the embossing reading device of the second embodiment, when one of the cards is inserted, one of the lights is emitted and read, and when the card is returned after the transaction processing, the other light source is emitted, Based on the difference data of the acquired image, the embossed character is read and the counterfeit is detected by confirming the coincidence with the magnetic data. When the counterfeit is determined, the transaction process is canceled. In addition to the effects of the first embodiment, Transaction processing can be started quickly without causing the customer to wait, and the processing and mechanism for primarily discharging the card are not required, and the control and mechanism can be simplified.

  The embossing reader of Example 3 has a configuration in which a single light source is provided and two optical systems of a rod lens array, an image sensor, and an A / D converter are provided, and each optical system is acquired when a card is inserted. The embossed characters are extracted and recognized based on the difference result of the image data so that forgery can be detected.

(Constitution)
FIG. 8 is a configuration diagram of the emboss reading device according to the third embodiment. As shown in the drawing, the configuration of the embossed reading device of Example 3 is arranged in the sub-scanning direction in which the reflected light from the card 1 due to the light emission of the light source 2 and the light source 2 is converged as the configuration of the optical system. Two lot lens arrays A and B (3a, 3b), two image sensors A and B (4a, 4b) for acquiring a converged image, and outputs of the image sensors A and B (4a, 4b) A / D converters A and B (7a, 7b) for A / D converting and quantizing the signal are provided. Other configurations are the same as the configurations of the first and second embodiments, and the description thereof is omitted for the sake of brevity.

(Operation)
With the above configuration, the embossed reading apparatus according to the third embodiment operates as follows. This operation will be described with reference to the operation flowchart of FIG. Since steps S41, S45, and S46 to S52 are the same as steps S1, S5, and S10 to S16 of the first embodiment, detailed description thereof is omitted for simplification.

  First, the inhaling operation of the card 1 is started (step S41), and the light source 2 emits light (step S42).

  Then, while the card 1 is conveyed in the inhalation direction A, the image of the card 1 illuminated by the light source 2 is converged by the lot lens arrays 3a and 3b and formed on the image sensors 4a and 4b, and shading is performed on the image sensor 4a. The A / D conversion unit 7a quantizes the correction data A (8a) while changing the amplification amount, and stores it in the frame memory A (10a). Similarly, the image sensor 4b is also quantized by the A / D converter 7b while changing the amplification amount from the shading correction data B (8b) and stored in the frame memory B (10b) (steps S43 and S44).

  FIG. 10 shows that the light A ′ from the light source 2 becomes reflected light Ar ′ by the card 1 provided with the embossed characters. In the reflection part 31a in the figure, the light A ′ is regularly reflected in the direction of the image sensor 4a, so that the brightness of this part is an image brighter than the surroundings. Similarly, since the reflection part 31b regularly reflects the light A ′ in the direction of the image sensor 4b, the brightness of this part becomes an image brighter than the surroundings.

  In parallel with the process of inhaling the card 1 and capturing the image in step S41, the magnetic data reading unit 6 performs a magnetic data reading operation on the card 1 (step S45).

  Then, the image synthesizing unit 11 detects the positions of both ends of the card 1 in the images of the frame memory A (10a) and the frame memory B (10b), and the frame memory for the corresponding pixels on the card 1 with reference to these positions. The luminance difference between the A (10a) and the frame memory B (10b) image is calculated, and the shaded portion and the reflected portion of the embossed character are extracted as pixels having a difference greater than or equal to a predetermined value. A pixel smaller than the predetermined value is binarized as a white pixel, transmitted to a host device (not shown), stored as a proof of transaction, and transmitted to the OCR processing unit 12 for character recognition processing (steps S46 to S48).

  Note that the image file stored as a proof of transaction is not binarized in order to record a tint block or the like, and either or both of the frame memories A and B (10a, 10b) are left as they are or binarized. This is the same as in the first and second embodiments.

  Then, the counterfeit card determination unit 13 performs personal authentication and counterfeit determination using the embossed character result recognized by the OCR processing unit 12 in step S12 and the magnetic data read by the magnetic data reading unit 6 (step S49).

  If the magnetic data and the embossed character recognition result match, the determination result 14 is notified to a host device (not shown) and the like, transaction processing is performed (step S50), and the card 1 is ejected when the transaction processing ends (step S51). ). On the other hand, if the magnetic data and the embossed character recognition result do not match, the determination result 14 is notified to the host device or the like, and if it is determined to be counterfeit, the process is terminated without ejecting the card (step S52). If it is not counterfeit and authentication is not possible, the card 1 is ejected and returned, although not shown.

  In the authentication / determination process based on the magnetic data and the embossed character recognition result in step S49, if a part of the embossed character recognition result is unread or there is a character with a low certainty (certainty) of the recognition result, an error occurs. Since the determination result may be attracted, it is preferable to exclude it from the determination as in the first and second embodiments.

  In the description of FIG. 8, the rod lens arrays A and B (3a and 3b) and the image sensors 4a and 4b have been described so as to be arranged side by side in the sub-scanning direction. The image of the horizontal embossed portion extracted in step # 1 is determined to be a white image having substantially the same luminance as in the first embodiment, and is as shown in FIG. 5A. Therefore, as shown in FIG. The rod lens array B (3b) and the image sensor 4b may be arranged at an angle different from that of the lens array A (3a) and the image sensor 4a. By arranging in this way, the horizontal portion of the embossed character also has a difference in the amount of light, so that an image as shown in FIG. 5B can be obtained. Note that the amount of light varies depending on the location in the main scanning direction by attaching it obliquely, but this correction may be performed by shading correction B.

(Effect of Example 3)
As described above in detail, according to the embossing reading apparatus of the third embodiment, one light source, two converging lot lens arrays, two optical systems such as an image sensor are provided, and card images are acquired at different angles. Since the embossed characters are extracted and recognized based on the difference between the images, the embossed characters can be extracted in a short time in addition to the same effects as in the first embodiment, and transaction processing is not awaited.

  In the above description of the embodiment, a card provided with embossed characters has been described as an example of a personal authentication medium. However, the present invention is applicable to a case where a paper-like medium, a booklet-like medium, or a medium having various shapes is used. The invention can be applied. Further, the present invention can be used even when a medium provided with a hologram or the like in addition to embossed characters is used.

1 is a configuration diagram of an embossed character reading device according to Embodiment 1. FIG. It is an operation | movement flowchart figure of the embossed character reading apparatus of Example 1. FIG. It is explanatory drawing of the embossed character image acquisition operation | movement of Example 1. FIG. 6 is an explanatory diagram of an example of image data correction according to the first exemplary embodiment. FIG. FIG. 6 is an explanatory diagram of an example of binarized data according to the first embodiment. FIG. 6 is a main part configuration diagram of an embossed reading device according to a modification of the first embodiment. It is an operation | movement flowchart figure of the embossed character reading apparatus of Example 2. FIG. It is a block diagram of the embossed character reading apparatus of Example 3. It is an operation | movement flowchart figure of the embossed character reading apparatus of Example 3. It is explanatory drawing of the embossed character image acquisition operation | movement of Example 3. FIG. It is a principal part block diagram of the embossed character reader of the modification of Example 3. FIG. It is explanatory drawing of the conventional embossed character reader.

Explanation of symbols

1 Card 2, 2a, 2b Light source 3, 3a, 3b Rod lens array 4, 4a, 4b Image sensor 6 Magnetic data reading unit 7, 7a, 7b A / D conversion unit 8a, 8b Shading correction data 10a, 10b Frame memory 11 Image composition unit 12 OCR processing unit 13 Counterfeit card determination unit

Claims (6)

Multiple light sources;
An image sensor that acquires the image data of the medium is provided.
Generated based on the difference between the first image data acquired by emitting a predetermined light source at the time of medium insertion and the second image data acquired by emitting light sources other than the predetermined light source at the time of primary ejection of the medium An emboss reading device for reading an embossed character of the medium from image data. Provide a magnetic data reading unit to read the magnetic data of the medium,
2. The emboss reader according to claim 1, wherein forgery of the medium is determined based on a result of reading an embossed character of the medium and a result of reading magnetic data of the medium by the magnetic data reading unit. Multiple light sources;
An image sensor that acquires the image data of the medium is provided.
First image data obtained by emitting a predetermined light source when the medium is inserted; and
An emboss reading device, wherein an emboss character of the medium is read by image data generated based on a difference from third image data acquired by emitting a light source other than the predetermined light source when the medium is discharged. Provide a magnetic data reading unit to read the magnetic data of the medium,
Based on the result of reading the embossed character of the medium and the result of reading the magnetic data of the medium by the magnetic data reading unit, it is determined whether the medium is counterfeit, and when it is determined that the medium is counterfeit, the transaction processing by the medium is canceled. The embossed reader according to claim 3, wherein A light source;
Provide multiple image sensors to acquire the image data of the medium,
An emboss reading device, wherein an emboss character is read with image data generated based on a difference between acquired image data. Provide a magnetic data reading unit to read the magnetic data of the medium,
6. The emboss reader according to claim 5, wherein forgery of the medium is determined based on a result of reading the embossed character of the medium and a result of reading the magnetic data of the medium by the magnetic data reading unit.

Images