JP2022131949A - Reading device and method - Google Patents

Abstract

To provide a portable reading device for checking illegality such as alteration.SOLUTION: The reading device comprises: reading means for reading a reading object; and a portable information processing terminal for processing read data obtained by reading by the reading means. The portable information processing terminal includes determination means which outputs a determination result indicative of illegality of the reading object based on the read data.SELECTED DRAWING: Figure 4

Description

The present invention relates to reading apparatus and methods.

Conventionally, there are techniques for preventing falsification of documents and the like. For example, a contract document or the like handled in business is checked for fraud such as falsification using a dedicated device for detecting falsification. Dedicated devices are large and cannot be carried around, so a dedicated device installed in-house is used to check fraud.

For example, Patent Literature 1 discloses a technique of printing unique information in addition to input content on a recording medium and reading the unique information to prevent falsification of a document.

However, in the past, fraud such as falsification of documents was confirmed using a dedicated device installed in the company. There was a problem that it was not possible to check the

SUMMARY OF THE INVENTION It is an object of the present invention to provide a portable reading device and method for confirming fraud such as falsification.

In order to solve the above problems and achieve the object, the reading device of the present invention has reading means for reading an object to be read, and a portable information processing terminal for processing the read data read by the reading means. The portable information processing terminal is characterized in that it includes determination means for outputting a determination result indicating that the object to be read is illegal based on the read data.

According to the present invention, since it is portable, there is an effect that fraud such as falsification can be confirmed even on the go.

FIG. 1 is a diagram illustrating an example of a configuration of a document to be read for falsification determination by the reading device according to the first embodiment. FIG. 2 is a diagram showing an example of the overall configuration of hardware blocks of the reader. FIG. 3 is a diagram illustrating an example of an external configuration of an external camera. FIG. 4 is a diagram illustrating an example of a hardware block configuration of a portable information terminal; FIG. 5 is a diagram showing an example of the configuration of processing blocks of the reading device. FIG. 6 is a diagram illustrating an example of a flow of falsification determination processing by a reading device. FIG. 7 is a diagram showing an example of the configuration of a message screen for falsification determination processing in the reading device. FIG. 8 is a diagram showing an example of a stealth print of a document. FIG. 9 is a diagram illustrating an example of falsification determination. FIG. 10 is a diagram illustrating another example of falsification determination. FIG. 11 is a diagram showing a modification of functional blocks of the reader. 12 is a diagram illustrating an example of a configuration of functional blocks of a reading device according to Modification 1. FIG. FIG. 13 is a diagram illustrating an example of a flow of falsification determination processing by a reading device. FIG. 14 is a diagram showing an example of a comparison result displayed on the screen by the reading device. FIG. 15 is a diagram illustrating an example of an external configuration of the entire reading apparatus according to the second embodiment; FIG. 16 is a diagram illustrating an example of a hardware block configuration of an external camera;

Embodiments of the reader and method are described in detail below with reference to the accompanying drawings.

(First embodiment)
The reader according to the present embodiment can be applied to media such as official documents or quotation documents that are falsified to make a third party unfairly profitable. For example, by comparing a document, which is visible information, with invisible information embedded in the document, it is possible to determine whether or not the document has been tampered with.

FIG. 1 is a diagram showing an example of a configuration of a document to be read for falsification determination by a reading device. A document 30 shown in FIG. 1 includes text information 31, which is visible information, and code information 32, such as a QR code (registered trademark), which is invisible information. Information having the same content as the text information 31 printed as a visible image, ie, coded code information 32 in this example, is printed on the same sheet of the document 30 . The code information 32 is created by stealth printing using an electrophotographic method, for example.

As for the stealth printing method, first, the case of using a special toner will be described. A typical printer outputs a full-color image with a combination of four colors, K, C, M, and Y. Stealth printing, on the other hand, replaces the K image forming unit of the printer with an image forming unit (NIR image forming unit) that uses a toner (NIR toner) having a pigment that absorbs NIR (near infrared light). In this case, since the image forming device does not have K toner, it reproduces a black image 321 with three colors of CMY. On the other hand, the NIR toner image 322 is hidden between the CMY black image 321 and the paper, resulting in a "stealth" image. In this way, both visible text information 31 and invisible code information 32 are formed on one sheet.

Stealth printing can also be carried out with a printer having a normal K, C, M, Y configuration by utilizing the property that carbon contained in K toner absorbs near-infrared light. In this case, a stealth image is similarly obtained by embedding a black image 322 made of K under a color image 321 made up of C, M, and Y. FIG.

FIG. 2 is a diagram illustrating an example of an overall configuration of hardware blocks of the reading device according to the first embodiment; The reader 1 shown in FIG. 2 has an external camera 10 and a mobile information terminal 20 . External camera 10 is a dedicated camera (an example of “reading means”) that captures a near-infrared image, and has external camera module 11 , visible light LED 12 , and near-infrared LED 13 . The portable information terminal 20 is a battery-powered portable "portable information processing terminal" such as a smart phone.

FIG. 3 is a diagram showing an example of the external configuration of the external camera 10. As shown in FIG. FIG. 3(a) shows an example of the external configuration of the external camera 10, and FIG. 3(b) shows an example of the external configuration when the external camera 10 is attached to the portable information terminal 20. As shown in FIG. The external camera 10 shown in FIG. 3 has an external camera module 11 in the front center of the camera housing 10a, and has a near-infrared LED 13 and a visible light LED 12 on both sides of the external camera module 11. As shown in FIG. The external camera 10 is controlled from the mobile information terminal 20 by connecting the connector part 14 to a communication connection part (for example, a USB terminal connection part) of the mobile information terminal 20 . The external camera 10 operates by receiving power from the portable information terminal 20 via USB connection. Note that the external camera 10 may be equipped with a battery.

The external camera module 11 has an image sensor having sensitivity characteristics in the near-infrared region, receives reflected light of near-infrared light (an example of invisible light) emitted from the near-infrared LED 13, and receives a near-infrared image (invisible light). image). Moreover, the external camera module 11 has an image sensor having sensitivity characteristics in the visible light range, and receives reflected light of the light emitted from the visible light LED 12 to acquire a visible image. The read data (an image as an example) acquired by the external camera module 11 is output to the mobile information terminal 20 and undergoes image processing for forgery prevention determination. In this example, a near-infrared LED 13 that emits near-infrared light is provided as an illumination unit in order to efficiently capture an invisible image. The near-infrared LED 13 has a peak wavelength near 850 nm where the pigment used in the NIR toner image 322 efficiently absorbs the light.

Although the external camera module 11 has an image sensor having sensitivity characteristics in the visible light range and receives the reflected light from the visible light LED 12, the configuration corresponding to the visible range is appropriately provided according to the application. may or may not be provided.

In addition, since the external camera 10 and the mobile information terminal 20 are independent devices, a connector section 14 is provided as a means for sending data to connect the external camera 10 and the mobile information terminal 20, making it possible to attach and detach the external camera 10. there is The external camera 10 and the mobile information terminal 20 may be connected via a cable with a predetermined length. In addition, the external camera 10 has a disadvantage that if it has a processing system such as decoding in hardware, the device becomes expensive. Considering this, in this example, the external camera 10 has a basic configuration, which is simplified to an external camera module 11 and an LED lighting unit (visible light LED 12 and near infrared LED 13), and processing is performed inside the portable information terminal 20. do in Moreover, by configuring in this way, the mobile information terminal 20 can be implemented by a general smart phone or the like instead of a dedicated device.

FIG. 4 is a diagram showing an example of a hardware block configuration of the portable information terminal 20. As shown in FIG. A mobile information terminal 20 shown in FIG. 4 has an internal camera 21 and a forgery determination section 22 . The forgery determination unit 22 corresponds to "determination means". The internal camera 21 is, for example, a general-purpose camera provided in a smartphone, and is a visible image capturing camera.

The forgery determination unit 22 is configured by hardware such as ASIC, and has a character recognition unit 221 , a decoding unit 222 and a collation unit 223 . Note that the character recognition unit 221, the decoding unit 222, and the matching unit 223 may be realized as functional units by the CPU executing programs stored in the memory.

The character recognition unit 221 acquires data read by the internal camera 21 (that is, an image captured by the internal camera 21) and recognizes characters from the captured image. The decoding unit 222 acquires the data read by the external camera 10 (that is, the image captured by the external camera 10) and decodes the code from the captured image. The collating unit 223 collates the character recognition result by the character recognizing unit 221 and the decoding result by the decoding unit 222 (code decoding result in this example).

FIG. 5 is a diagram showing an example of a configuration of processing blocks of the reading device 1. As shown in FIG. The reading device 1 has a first imaging section 401 , a second imaging section 402 , an OCR section 403 , a decoding section 404 and a comparing section 405 .

The first imaging unit 401 images the document 30 using, for example, the internal camera 21 of the reading device 1 . For example, when the user instructs the mobile information terminal 20 to start photographing, the first imaging unit 401 uses the internal camera 21 to photograph the document 30, and captures the visible image (text information 31) that is the document image. .

The second imaging unit 402 images the document 30 using the external camera 10 of the reading device 1, for example. For example, when the user instructs the portable information terminal 20 to start photographing, the second imaging unit 402 images the document 30 using the external camera 10, and captures an invisible image (IR toner image 322 of the code information 32). conduct.

The OCR unit 403 performs character recognition on the visible image data (image of the text information 31 ) captured by the first imaging unit 401 by OCR to generate text data D<b>1 of the text information 31 .

The decoding unit 404 obtains the original text data D2 before encoding by decoding the invisible image data (QR code as an example) captured by the second imaging unit 402 .

The comparison unit 405 compares the processing result of the OCR unit 403 and the processing result of the decoding unit 404, outputs the comparison result, and displays the comparison result on the screen of the portable information terminal 20 or the like. The comparison unit 405 compares the text data 401 decoded from the invisible image (the IR toner image 322 of the code information 32) with the text data 401 of the visible image as a reference, and outputs the matching rate between the two as a comparison result. The reason why the invisible image is used as a reference is that the original information of the document 30 is confidential and that the coded information can be read accurately. Generally, the reading of coded information is recognized with a very high probability because it has the function of repairing missing data.

(Processing flow)
As an example, first, the external camera 10 reads the stealth print area in the document 30 . If a QR code exists in the invisible image read by the external camera 10, it is decoded and its contents are obtained. If the QR code does not exist, there is a possibility that the document 30 has been copied. If the QR code is successfully decoded, then the entire document 30 is read by the internal camera 21 . The visible image data read by the internal camera 21 is subjected to OCR processing, and the text data recognized by the OCR processing is compared with the QR code decoding result (text data). At this time, if the two match, it is determined that there is no illegality such as falsification of the document 30, and if they do not match, it is determined that falsification has occurred. If there is no text information in OCR processing, the document 30 is NG.

FIG. 6 is a diagram showing an example of the flow of falsification determination processing by the reading device 1. As shown in FIG. When the reading device 1 starts falsification determination processing, it first switches to the external camera 10 (S1).

Subsequently, the reading device 1 outputs a message (S2). For example, if the format of the document 30 is fixed and the QR code is concealed in the image of the logo mark at the lower right position, a message such as "Please photograph the logo at the lower right" is output. The message may be displayed on the display screen of the reading device 1, or may be output by voice from the speaker.

Subsequently, the reading device 1 acquires an invisible image from the external camera 10 (S3), and if the invisible image is not a QR code (S4: No), outputs a message (S5) and determines that there is tampering (S6). . For example, output a message such as "There is no authentication information". The message may be displayed on the display screen of the reading device 1, or may be output by voice from the speaker.

Further, when the invisible image is a QR code (S4: Yes), the reading device 1 decodes the QR code (S7).

If the reading device 1 succeeds in decoding (S8: Yes), it stores the information and outputs a message such as "Reading succeeded" (S9). If the decoding fails (S8: No), the reading device 1 outputs a message such as "Reading failed. Please try again" (S10), returns to S3, and captures the invisible image from the external camera 10. get back. It should be noted that a limit may be set, such as, for example, three failures in reading.

Next, in order to read the entire document 30 , the reading device 1 outputs a message such as “Please photograph the entire document” (S 11 ), and switches from the external camera 10 to the internal camera 21 .

Subsequently, the reader 1 acquires a visible image of the entire document 30 from the internal camera 21 (S12), and performs OCR processing on the visible image (S13). If the information generated by the OCR process is text information (S14: Yes), the reading device 1 compares this text data with the successfully decoded information in S7 (S15).

If the information generated by the OCR process is not text information (S14: No), the reader 1 outputs a message such as "Please try again" (S16), returns to S12, and captures the visible image from the internal camera 21. get it again. If the text data is not obtained continuously, for example, twice in a row, the reader 1 outputs a message such as "no text information" (S17), and terminates this process.

If both data (the decoding result and the text data obtained by OCR) are text data with the same content as a result of the collation in S15 (S18: Yes), the reading device 1 outputs the determination result that there is no falsification. (S19). If both text data are not the same content (S18: No), the judgment result of falsification is output (S6).

FIG. 7 is a diagram showing an example of the configuration of a message screen for falsification determination processing in the reading device 1. As shown in FIG. The reading device 1 has message screen information to be displayed in each of the OCR processing, the QR code processing, and the determination processing, and displays a message corresponding to the result of each processing on the screen.

In the OCR process, a message m1 is provided that says, "Please photograph the entire document." After reading, if the reading fails, the message m2 "Please try again" is displayed. If the reading is not possible, the message m3 "There is no text information" is displayed. display the message m4 saying that

In the QR processing, a message m11 of "switch to external camera" is provided. Also, after switching to the external camera, a message m12 stating "Please take an image of a predetermined logo" is displayed. After imaging, if there is no QR code, a message m13 "There is no authentication information" is displayed, if reading fails, a message m14 "Reading failed" is displayed. A message m15 stating "Successful" is displayed.

In the determination process, a message m21 of "determining" is displayed. After the determination, if they do not match, a message m22 stating "I suspect fraud" is displayed, and if they match, a message m23 stating "There is no fraud such as falsification" is displayed.

FIG. 8 is a diagram showing an example of a stealth print of document 30. As shown in FIG. One of the things that should not be tampered with in contract documents is the amount, that is, the numerical value. A document 30 has text information 31 such as an amount of money printed as a visible image and code information 32 created by stealth printing or the like on the same sheet surface of the document 30 . Numerical values of the text information 31 can be confirmed by human eyes under visible light.

On the other hand, the code information 32 is displayed, for example, in a color pattern or in black by the human eye under visible light. By reading the code information 32 with the reader 1, the QR code hidden in the code information 32 is decoded, and a numerical value 333 shown in FIG. 8 is extracted. Therefore, since the numerical value of the text information 31 and the numerical value of the text data 333 are the same, it can be determined that there is no falsification.

(Falsification judgment example 1)
Next, an example of a falsification determination method will be described. As an example, falsification using the number of digits of numerical data is shown.

FIG. 9 is a diagram illustrating an example of falsification determination. One of the important items that should not be tampered with is the amount of money. Falsification of the number of digits is a popular form of money falsification. Falsification of amounts is done by adding 0 to the end of the stated amounts. In order to prevent such tampering, the code information 32 conceals the QR code that shows the number of digits of the numerical value. By comparing the QR code with the decoded information, it can be confirmed that a numerical value is added to the end of the amount.

FIG. 9A shows an example in which the numbers of digits of visible information and invisible information are the same. In this case, it is determined that there has been no falsification.

On the other hand, in FIG. 9(b), the number of digits in a part of the visible information is larger than that of the invisible information. In this example, "00" is added to the end of "123450" as indicated by the dashed line. Since the text data 333 is "123450", it is determined that "00" has been artificially added to the end and the amount of money has been tampered with.

In general, numerical data written in contract documents and the like is not limited to monetary amounts. It is possible to selectively compare only the numerical values of the required positions. An example of selectively comparing only necessary positional information is shown in "Falsification Determination Example 3".

(Determination example 2 of falsification)
The falsification of amounts is not limited to the number of digits. For example, 1 can be changed to a larger value by adding handwriting or in the case of some fonts. Such tampering is easy to target because the amount of money changes greatly by performing such falsification on the highest value.

FIG. 10 is a diagram illustrating another example of falsification determination. In the case of the font shown in the document of FIG. 10(a), "1" can be easily changed to "7" by adding a little. In the case of the font shown in the document of FIG. 10(b), "1" can be easily changed to "9" by adding a little. It is conceivable that such falsification would greatly change the numerical value and cause great damage.

In this case, focusing on the highest monetary value, the highest monetary value detected in the document is compared between the invisible image information and the visible image information, and a match with the invisible image is obtained. If not, it is judged as falsification. By this method, falsification of the document can be confirmed from the rewriting of the highest order number.

(Determination example 3 of falsification)
Text information (required data) such as the contractor, company name, address, etc. is the next most important item in the document that requires confirmation of falsification. In the case of confirming falsification of such information, for example, the configuration is as follows.

FIG. 11 is a diagram showing a modification of the functional blocks of the reading device 1. As shown in FIG. In FIG. 11, configurations common to the embodiment are given the same numbers. Since the parts with the same numbers have already been explained, the explanation here will be omitted as appropriate.

The reading device 1 shown in FIG. 11 includes a storage unit 501 that stores layout information. The layout information is layout information of the document 30, and has layout information according to the type of the document 30, such as a bill or a certificate of residence.

The reader 1 shown in FIG. 11 extracts necessary data 502 and 503 respectively from the visible image and the invisible image as follows.

The necessary data 503 is text data extracted by decoding the invisible image data. The necessary data 502 is text data selected and extracted by the OCR unit 403 . The OCR unit 403 reads the layout information in the storage unit 501 and extracts text data of necessary items (positions requiring fraud confirmation) in the layout information from the OCR result of the visible image data. For example, the OCR unit 403 refers to the description position of necessary data in the page based on the layout information of the document format, and selectively converts the information into text.

The comparison unit 405 compares the processing result (necessary data) of the OCR unit 403 and the processing result (necessary data) of the decoding unit 404, and outputs the comparison result.

Note that the necessary data 502 and 503 may be extracted by the user selecting and specifying the position from the target text data.

As a result, it becomes possible to appropriately and efficiently confirm whether or not there is any tampering with respect to items that require confirmation of tampering according to the format of the document. For example, in judicial scrivener business, contract documents can be photographed on the go without being brought back to the office, and the presence or absence of falsification can be quickly and appropriately confirmed.

(Modification 1)
In the embodiment, the reading device 1 determines falsification based on whether they match or not. Modification 1 shows an example in which the reading device 1 calculates a matching rate and determines falsification based on the matching rate.

FIG. 12 is a diagram showing an example of the functional block configuration of the reading device 1 according to Modification 1. As shown in FIG. In FIG. 12, configurations common to the embodiment are given the same numbers. Since the parts with the same numbers have already been explained, the explanation here will be omitted as appropriate.

The reading device 1 shown in FIG. 12 includes a matching rate calculation section 601 and a display section 602 . A match rate calculation unit 601 calculates a match rate of text data based on the comparison result of the comparison unit 405 . The display unit 602 displays, on a display screen, information for the user to determine whether or not the document has been tampered with, such as the comparison result and the matching rate (calculation result of the matching rate).

FIG. 13 is a diagram showing an example of the flow of falsification determination processing by the reading device 1 of Modification 1. As shown in FIG. FIG. 13 shows processing to be added in the flow shown in FIG.

In the flow shown in FIG. 13, the matching rate of both data is obtained in the collation of S15 (S151). Then, if the match rate of both data is greater than a preset value (S152: Yes), the determination result of no falsification is output (S19).

On the other hand, if the coincidence rate of both data is equal to or less than the preset value (S152: No), the result of determination that there is falsification is output (S6).

Note that the display unit 602 displays information on the display screen for the user to determine whether the document has been falsified. For example, it displays the determination result, match rate, and the like. Here is an example of matching rate display.

FIG. 14 is a diagram showing an example of a comparison result displayed on the screen by the reading device 1 of Modification 1. As shown in FIG. As shown in FIG. 14, the matching rate is displayed on the screen 23 of the reading device 1 as an example of the comparison result. In this example, the matching rate of both data is 98%, so 98% of the information is displayed.

As described above, in Modification 1, the comparison result between the invisible information and the visible information is finally displayed to the user. For the final determination, the result of the determination criteria set in the reading device 1 may be displayed, or the match rate may be displayed so that the user can make the determination by himself/herself. For example, an image read by the first imaging unit 401 is converted into text data by the OCR unit 403, but even if the OCR is a normal font, it is affected by the contrast, resolution, color, etc. at the time of output, resulting in unintended recognition. may take place. The same applies when the character portion is partially stained. Therefore, by displaying the matching rate, the user can visually confirm the reliability of the document by comparing it with the state of the document.

(Second embodiment)
As the external camera 10, a camera (for example, a web camera) that performs wireless communication may be used. In this case, the mobile information terminal 20 acquires an image from the external camera 10 by wireless communication, and performs fraud determination processing such as falsification on the mobile information terminal 20 side.

FIG. 15 is a diagram illustrating an example of an external configuration of the entire reading apparatus according to the second embodiment; The reader 2 shown in FIG. 15 has an external camera 10a and a mobile information terminal 20a. The external camera 10a and the mobile information terminal 20a communicate via wireless communication 1000. FIG. Here, the portable information terminal 20a is a general-purpose device such as a smart phone, and can communicate with the external camera 10a by, for example, Bluetooth (registered trademark), WiFi, or other short-range wireless communication.

FIG. 16 is a diagram showing an example of the hardware block configuration of the external camera 10a. The external camera 10 a has an antenna 600 , a transmitter/receiver 601 , an MPU 602 , a camera 603 and an IR (near infrared) LED 604 . The external camera 10a is driven by a battery or the like.

Camera 603 corresponds to an external camera module, and IRLED 604 corresponds to near-infrared LED 13 .

The transmitting/receiving unit 601 communicates with the mobile information terminal 20a via the antenna 600, and transmits an image captured by the external camera 10a to the mobile information terminal 20a.

The MPU 602 controls the camera 603 and the IRLED 604, and transmits the captured image captured by the camera 603 from the transmission/reception unit 601 to the mobile information terminal 20a.

The mobile information terminal 20a is a general-purpose device, and implements the functions of the mobile information terminal 20 with applications.

In the second embodiment, since the external camera 10a and the mobile information terminal 20a are electrically separated, it is possible to capture an image while the external camera 20a is fixed at a position that is easy to see.

In the first embodiment, by integrally using the external camera 20 and the portable information terminal 20, the entire device is made compact and the feeling of use is improved. , increase the degree of freedom and improve operability.

Although the embodiments and modifications of the present invention have been described above, the embodiments and examples are presented as examples and are not intended to limit the scope of the invention. These novel embodiments and examples can be implemented in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and examples are included in the scope and gist of the invention, and are included in the scope of the invention described in the claims and equivalents thereof.

1 reading device 10 external camera 20 portable information terminal 21 internal camera 22 forgery determination unit 221 character recognition unit 222 decoding unit 223 collation unit

JP 2006-246157 A

Claims (10)

reading means for reading an object to be read;
a portable information processing terminal that processes the read data read by the reading means;
has
The portable information processing terminal includes determination means for outputting a determination result indicating fraud of the read target based on the read data,
A reading device characterized by: The reading means is detachable from the portable information processing terminal,
2. The reader according to claim 1, wherein: The reading means and the portable information processing terminal are connected by wireless communication,
2. The reader according to claim 1, wherein: The reading means has a first imaging unit that receives reflected light of invisible light irradiated to the object to be read and picks up the image,
The portable information processing terminal has a second imaging unit that receives reflected light of visible light from the object to be read and captures the image,
The determination means outputs a determination result indicating that the read target is illegal based on a collation result obtained by collating the data read by the first imaging unit and the data read by the second imaging unit.
4. The reader according to any one of claims 1 to 3, characterized in that: The determination means is
a decoding unit that decodes code information that is read data by the first imaging unit;
a character recognition unit that recognizes characters of a document image that is read data by the second imaging unit;
a collation unit that collates the result extracted by the decoding unit and the result of character recognition by the character recognition unit;
including,
5. The reader according to claim 4, characterized in that: The collation unit
The number of digits of each numerical data is compared between the numerical data extracted by the decoding unit and the numerical data obtained by character recognition by the character recognizing unit to indicate fraudulent reading. output the judgment result,
6. The reader according to claim 5, characterized in that: The collation unit
The numerical data extracted by the decoding section and the numerical data obtained by character recognition by the character recognizing section are compared with each other in terms of the highest order numbers of the respective numerical data. Output a judgment result indicating fraud,
6. The reader according to claim 5, characterized in that: The character recognition unit recognizes a character at a position where fraud confirmation is to be performed in the reading target based on layout information of the reading target,
The collation unit
outputting a determination result indicating that the reading target is illegal by comparing the result extracted by the decoding unit and the result of character recognition by the character recognition unit;
6. The reader according to claim 5, characterized in that: The determination means outputs a result of matching rate calculation as the determination result.
9. The reader according to any one of claims 1 to 8, characterized in that: a step of reading an object to be read by a reading means;
a step of acquiring the read data read by the reading means with a portable information processing terminal;
a step of outputting a determination result indicating fraudulentness of the read target based on the read data by the portable information processing terminal;
method including.

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