JP2006235959A - Digital camera with function of verifying originality of image picked up and its verification program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a technique for guaranteeing or verifying the originality of a picked up image. <P>SOLUTION: A digital camera includes an imaging part, an information processing part, a verification data creating part, and a recording part. The image pickup part creates image data by photographing a subject. The information processing part creates or obtains the photography information of the image data. The verification data creating part creates image verification data for falsification detection for data about an image area within the image data. The verification data creating part creates information verification data for falsification detection also for the photography information. The recording part records the image data, the photography information, the image verification data, and the information verification data on a recording medium. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

The present invention relates to an electronic camera having a function of proving originality of a captured image.
The present invention also relates to a verification program for verifying the originality of a captured image.

  In recent years, with the widespread use of electronic cameras, cases of taking ID photographs with electronic cameras are increasing. By the way, image data photographed with an electronic camera can be altered using general-purpose image processing software. Therefore, in the above-described use of ID photographs, a technique for detecting falsification of image data becomes important.

As such a technique for detecting falsification of image data, the following Patent Document 1 is known. In Patent Document 1, any one of a checksum, a CRC, and a hash function is created as verification data used for detecting falsification of image data. The verification data is encrypted and then recorded on the recording medium together with the image data. At a later date, the verification data can be decrypted, and the verification data after decryption can be compared with the image data to detect alteration of the image data.
Japanese Patent Laid-Open No. 11-215452

  Incidentally, in the image data, shooting information such as Exif is stored together with the image area data. Some image processing software erases or rewrites this shooting information without the user's knowledge. In this case, the conventional technique detects even a change in shooting information that the user does not care about, and “The image has been tampered with! There was a risk of reacting sensitively.

  In the ID photo for passports, the ratio of the face in the screen and the position of the face are strictly determined. Therefore, it is expected that the image after the image is cropped (trimmed) to finely adjust the face ratio and position. In such a case, it is preferable to determine that the face image is not rewritten and the original state is maintained as the ID photo. However, the conventional technique has a problem in that a change in a peripheral image irrelevant to a subject is sensitively detected and is uniformly determined to be falsified.

Therefore, a technique for more flexibly verifying the originality of the ID photo is required in consideration of various circumstances of the ID photo.
Therefore, the present invention is to provide a technique (a technique for detecting falsification) that can appropriately verify originality of image data that has changed through processing other than falsification.

<Claim 1>
An electronic camera according to a first aspect includes an imaging unit, an information processing unit, a verification data creation unit, and a recording unit.
The imaging unit shoots a subject and generates image data.
The information processing unit generates or acquires shooting information of image data.
The verification data creation unit creates image verification data for falsification detection with respect to data in the image area in the image data. The verification data creation unit also creates information verification data for falsification detection for the shooting information.
The recording unit records image data, shooting information, image verification data, and information verification data on a recording medium.

<Claim 2>
An electronic camera according to a second aspect includes an imaging unit, an image extraction unit, a verification data creation unit, and a recording unit.
The imaging unit shoots a subject and generates image data.
The image extraction unit extracts a plurality of partial image regions from the image data.
The verification data creation unit creates partial image verification data for falsification detection for each partial image region.
The recording unit records the image data and the partial image verification data on a recording medium.

<Claim 3>
An electronic camera according to a third aspect includes an imaging unit, an image extraction unit, a verification data creation unit, a search information processing unit, and a recording unit.
The imaging unit shoots a subject and generates image data.
The image extraction unit extracts a partial partial image area from the image data.
The verification data creation unit creates partial image verification data for falsification detection in the partial image region.
The search information processing unit creates search data for searching the position of the partial image region from within the image region.
The recording unit records image data, partial image verification data, and search data on a recording medium.

<Claim 4>
A verification program according to a fourth aspect causes a computer to function as an input unit, an image alteration detection unit, and an information alteration detection unit.
The input unit captures image data, photographing information, image verification data, and information verification data generated by the electronic camera according to claim 1.
The image alteration detection unit determines whether the image region has been altered by comparing the image region in the image data with the image verification data.
The information alteration detection unit determines whether the imaging information has been altered by comparing the imaging information with the information verification data.

<Claim 5>
A verification program according to a fifth aspect causes a computer to function as an input unit, a partial image acquisition unit, and a partial image alteration detection unit.
The input unit captures image data and partial image verification data generated by the electronic camera according to claim 2.
The partial image acquisition unit extracts a plurality of partial image regions from the image data.
The partial image alteration detection unit identifies the alteration location in the image area by comparing the partial image verification data with the partial image verification data and discriminating alteration for each partial image.

<Claim 6>
A verification program according to a sixth aspect is the verification program according to the fifth aspect, wherein the partial image alteration detection unit determines whether or not the specified alteration location is included in the face area using a face recognition technique. The partial image alteration detection unit is characterized by prohibiting the use of the image data as the ID photo when the alteration location is included in the face area.

<Claim 7>
A verification program according to a seventh aspect causes a computer to function as an input unit, a position search unit, and a partial image alteration detection unit.
The input unit captures image data, partial image verification data, and search data generated by the electronic camera according to claim 3.
The position search unit searches the position of the partial image area, which is the generation source of the partial image verification data, from the image area of the image data using the search data.
The partial image alteration detection unit determines whether the partial image region has been altered by comparing the partial image region whose position has been searched by the position search unit with the partial image verification data.

<Claims 1 and 4>
The electronic camera according to claim 1 distinguishes “image area data” from “imaging information”, and creates and records verification data (image verification data, information verification data) for each.
Therefore, the electronic camera according to claim 1 can independently guarantee that each of the “image area data” and the “photographing information” is in the original state (the state as created in the camera).

  On the other hand, the verification program according to claim 4 independently checks “falsification of image area” and “falsification of imaging information” by collating two kinds of verification data (image verification data and information verification data). I can judge.

For example, when the shooting date and time is included in the shooting information, the authenticity of the shooting date of the identification photo can be determined by falsification determination of the shooting information.
Also, for example, when the shooting location (GPS data or the like) and photographer information are included in the shooting information, it is determined whether or not it is an ID photo that has been taken by a reliable organization or the like by falsification determination of the shooting information. be able to.
In addition, it is possible to determine only the alteration of the image area regardless of the change in the shooting information by the image processing software or the OS (operation system).

<< Claims 2, 5, 6 >>
The electronic camera of claim 2 extracts a plurality of partial image areas from the image area, and creates and records partial image verification data for each of the partial image areas. Therefore, in the electronic camera according to the second aspect, it is possible to guarantee that each of the plurality of partial image areas in the image is in the original state (the state as created in the camera).

  On the other hand, the verification program according to claim 5 can determine the presence or absence of falsification for each partial image area in the screen by collating with the partial image verification data for each partial image area. As a result, it is possible not only to know whether the image has been tampered with, but also to identify which partial image region has been tampered with.

  In the verification program of claim 6, a face area in an image is specified by a known face recognition technique or the like, and if a partial image area corresponding to this face area is not altered, it can be adopted as an ID photo. become.

<< Claims 3 and 7 >>
According to another aspect of the present invention, at least one partial image area is partially extracted from the image area, and partial image verification data is created and recorded for the partial image area. Furthermore, the electronic camera according to claim 3 creates and records search data so that the position of the partial image area can be searched from within the image area.

  On the other hand, a verification program according to a seventh aspect searches for a partial image area from the image area using the search data. Then, by comparing the searched partial image area with the partial image verification data, the alteration of the partial image area is determined. As a result, even if the position of the partial image area changes through the cropping process or the like, it is possible to verify the alteration by searching the position of the partial image area.

<< First Embodiment >>
The first embodiment is an embodiment relating to an electronic camera corresponding to claim 1 and a verification program corresponding to claim 4.
FIG. 1 is a block diagram illustrating an electronic camera 11 according to the first embodiment.
In FIG. 1, a photographing lens 12 is attached to the electronic camera 11. The lens control unit 12a performs focus driving, aperture control, and the like of the photographing lens 12. In the image space of the photographic lens 12, a light receiving surface of the image sensor 13 is disposed via a shutter (not shown). The imaging element 13 is driven by the imaging control unit 14. Image data output from the image sensor 13 is processed via the signal processing unit 15 and the A / D conversion unit 16 and then temporarily stored in the memory 17.
This memory 17 is connected to a bus 18. The bus 18 is also connected with a lens control unit 12a, an imaging control unit 14, a microprocessor 19, an image processing unit 20, a recording unit 22, and a monitor display unit 23.
The microprocessor 19 is connected to an operation unit 19a such as a release button. The recording unit 22 is loaded with a recording medium 22a.

[Explanation of operation on the electronic camera]
FIG. 2 is a diagram for explaining the overall flow of data processing in the first embodiment.
FIG. 3 is a flowchart for explaining the operation on the electronic camera side in the first embodiment. Hereinafter, the operation will be described along the step numbers shown in FIGS.

Step S1: In accordance with the user's release operation, the microprocessor 19 drives the lens control unit 12a and the imaging control unit 14 to perform exposure control of the imaging element 13 and image reading. The image data read from the image sensor 13 is temporarily stored in the memory 17 as digital image data after passing through the signal processing unit 15 and the A / D conversion unit 16.
The image processing unit 20 performs image processing on the image data in the memory 17 and creates image data that conforms to the standard of the recording file (RAW file, JPEG file, etc.).

Step S2: The microprocessor 19 acquires or generates shooting information.
For example, the microprocessor 19 generates shooting information based on exposure control data (aperture value, charge accumulation time, imaging sensitivity, presence / absence of flash emission, etc.) used when shooting image data.
Further, for example, the microprocessor 19 may acquire at least one of the following pieces of information as shooting information.
(1) Shooting date and time (preferably a radio clock that cannot be adjusted from outside)
(2) Shooting location (preferably one that cannot be changed externally like GPS information)
(3) Camera model information (4) Camera individual identification information (5) Information for specifying a photographer (6) Photographer biometric identification information (7) Subject biometric identification information These information are not shown. You may acquire from a camera built-in mechanism. Moreover, you may acquire these information from an external connection apparatus. Further, these pieces of information may be acquired via a communication medium such as a LAN or the Internet (preferably receiving an information providing service from a reliable institution).
Note that since such shooting information has less variation than data in an image area described later, it is relatively easy to decrypt an encryption key described later. Therefore, it is preferable to increase the variation of the photographic information by mixing numerically meaningless numerical values such as a noise value into the photographic information to make the decoding operation difficult.

Step S3: The microprocessor 19 processes part or all of the photographing information obtained in Step S2, and creates information verification data for alteration detection. If the original photographing information is different, the information verification data shows different values according to a predetermined rule. For creation of such information verification data, for example, processing such as a hash function, checksum, or CRC can be selected and used.
Here, a predetermined item may be extracted from the shooting information, and information verification data may be created for the extracted item. Further, the photographing information may be divided into items and predetermined data sections, and information verification data may be created for some of these division units.

Step S4: The microprocessor 19 reads out and processes image area data from the image data in the memory 17, and creates image verification data for falsification detection. If the original image area data is different, the image verification data shows different values according to a predetermined rule. For creation of such image verification data, for example, processing such as a hash function, checksum, or CRC can be selected and used.

Step S5: The microprocessor 19 encrypts the information verification data obtained in Step S3 and the image verification data obtained in Step S4 with an encryption key to create encrypted data. This encryption may be performed collectively to create one encrypted data, or may be performed individually to create a plurality of encrypted data.

Step S6: The recording unit 22 records and saves the image file storing the image data, the shooting information, and the encrypted data in the recording medium 22a.

[Explanation of verification program side]
FIG. 4 is a flowchart for explaining a computer operation by the verification program. Hereinafter, the operation will be described along the step numbers shown in FIGS.

Step S11: The image file created by the above-described processing (FIG. 3) is input to the computer. The computer reads image data, shooting information, and encrypted data from the image file.

Step S12: The computer performs the same processing as the above-described step S3 on the read photographing information, and creates information verification data.

Step S13: The computer performs the same process as in step S4 described above on the data of the image area in the read image data, and creates image verification data.

Step S14: The computer decrypts the read encrypted data using a predetermined decryption key, and obtains image verification data and information verification data before being encrypted in step S5 described above.

Step S15: The computer collates the decoded image verification data with the image verification data created in step S13.

Step S16: If the image verification data is consistent, the computer shifts the operation to step S17. Conversely, if the image verification data is inconsistent, the operation proceeds to step S18.

Step S17: Since the image verification data is matched, the computer displays information indicating that the originality of the image is guaranteed. After this operation, the computer shifts the operation to step S19.

Step S18: Since the image verification data is inconsistent, the computer determines that the image area data has been tampered with. In this case, the computer displays information indicating that the image is not original. After this operation, the computer shifts the operation to step S19.

Step S19: The computer collates the decrypted information verification data with the information verification data created in step S13. When information verification data is created for each category of shooting information items and divisions, information verification data is collated for each of these categories.

Step S20: If the information verification data is consistent, the computer moves the operation to step S21. Conversely, if the information verification data is inconsistent, the operation proceeds to step S22.

Step S21: Since the information verification data is matched, the computer displays information to assure the originality of the shooting information. After this operation, the computer shifts the operation to step S23.

Step S22: Since the information verification data is inconsistent, the computer determines that the imaging information has been tampered with. In this case, the computer displays information indicating that the shooting information is not original. If information verification data is collated for each category such as shadow information items and divisions, the inconsistent category (shooting date, shooting location, photographer data, photographer's biometric identification information, subject Display biometric identification information).

Step S23: In the computer, the conditions for using the ID photo are set in advance according to the usage (passport, driver's license, credit card, student card, club, submission of construction photo, etc.). Yes. The computer determines the verification result of the image area and the verification result of the photographing information in light of these adoption conditions, and determines whether or not the identification photograph can be adopted. After such a verification operation, the computer performs processing such as registration and authentication as an ID photo, and saving and recording in an ID card only for employable image files.

[Effects of First Embodiment]
In the first embodiment, verification data is created separately for imaging information and image areas. Therefore, it is possible to see whether the photographing information and the image area are falsified independently. As a result, it is possible to clearly distinguish unintentional rewriting of shooting information by image processing software or the OS and falsification of an image area due to malicious intention. Based on such a detailed determination, it is possible to flexibly cope with the originality of the shooting information without question. In this case, even a change in shooting information that the user is unaware of is detected and “the image has been tampered with! It is possible to avoid problems such as sensitive alarms.

In addition, by performing falsification detection independently on shooting information, it is possible to reliably verify shooting date and time, shooting location, photographer information, etc., which are important as ID photos. As a result, it is possible to reliably see old ID photos with altered shooting dates and ID photos with altered sources.
Next, another embodiment will be described.

<< Second Embodiment >>
The second embodiment is an embodiment relating to an electronic camera corresponding to claim 2 and a verification program corresponding to claims 5 and 6. Since the configuration of the electronic camera is the same as that of the first embodiment (FIG. 1), description thereof is omitted here.

[Explanation of operation on the electronic camera]
FIG. 5 is a flowchart for explaining the operation of the second embodiment. Hereinafter, the operation will be described along the step numbers shown in FIG.

Steps S31 to S33: The same processing as steps S1 to S3 of the first embodiment.

Step S34: The microprocessor 19 reads the image area data from the image data in the memory 17, and extracts a plurality of partial image areas. The extraction process here may divide the image area into tiles or the like. If this section is made fine, it is possible to increase the accuracy of detection of a falsification location described later. In addition, an important range (such as a range of eyes, a face, a nose, or a mouth) in an image area may be individually extracted to form a plurality of partial image areas.
For compressed data such as JPEG, it is preferable to extract a partial image area by dividing the compressed data for each restart marker code.
In some cases, information about the division rule (partition method, position, range, number, etc.) of the partial image area is shared with the verification program as a decision item. In this case, it is preferable from the viewpoint of security that the division rule is not included in the image file (photographing information, encrypted data, etc.).
In some cases, the division rule of the partial image area is not shared with the verification program side. In this case, it is preferable that the division rule (preferably data obtained by encrypting the division rule) is stored integrally with the image file or stored separately in a dedicated file so that it can be transmitted to the verification program.

Step S35: The microprocessor 19 processes each of such partial image areas, and creates partial image verification data for alteration detection. If the original partial image areas are different, the partial image verification data shows different values according to a predetermined rule. For generating such partial image verification data, for example, processing such as a hash function, checksum, or CRC can be selected and used.

Step S36: The microprocessor 19 encrypts the information verification data obtained in step S33 and the plurality of partial image verification data obtained in step S35 with an encryption key to create encrypted data. This encryption may be performed collectively to create one encrypted data, or may be performed individually to create a plurality of encrypted data.

Step S37: The recording unit 22 records and saves the image file storing the image data, the shooting information, and the encrypted data in the recording medium 22a.

[Explanation of verification program side]
FIG. 6 is a flowchart for explaining a computer operation by the verification program. Hereinafter, the operation will be described along the step numbers shown in FIG.

Step S41: The image file created by the above-described processing (FIG. 5) is input to the computer. The computer reads image data, shooting information, and encrypted data from the image file.

Step S42: The computer performs the same processing as the above-described step S33 on the read photographing information, and creates information verification data.

Step S43: The computer processes the data of the image area in the read image data according to the same division rule as that of Step S34 described above, and extracts a partial image area.
In addition, when the division rule on the camera side is not known in advance, the computer acquires information on the division rule in the image file or via another dedicated file.

Step S44: The computer performs the same process as step S35 described above on each of the extracted partial image areas, and creates partial image verification data.

Step S45: The computer decrypts the read encrypted data using a predetermined decryption key, and obtains partial image verification data and information verification data before being encrypted in step S36 described above.

Steps S46 to S49: The same processing as Steps S19 to S22 of the first embodiment.

Step S50: The computer collates the decoded partial image verification data with the partial image verification data created in step S44.

Step S51: If the partial image verification data are all consistent, the computer shifts the operation to Step S54. Conversely, if even one partial image verification data is inconsistent, the operation proceeds to step S52.

Step S52: The computer specifies a partial image area indicating inconsistency as a falsification location, and displays a warning such as blinking the falsification location on the screen.

Step S53: Using the face recognition technology, the computer determines whether the falsified portion falls within the face area. Here, for example, by specifying the face area based on color information such as skin color, face contour information, hair characteristics, and position analysis of the eyes, nose, and the like, the tampered portion is located inside the face area. It is determined whether or not.

Step S54: The computer can determine the condition for at least the following three points.
(1) A falsified location exists in the image area.
(2) The tampered part is a face area.
(3) The shooting information has been tampered with.
By appropriately combining these three condition determinations, it is possible to finely determine the ID photo employment conditions.
For example, the computer determines all of the conditions (1) to (3) for a strict use application, and prohibits the use of an image as an ID photo only by satisfying any one of them.
In addition, the computer determines only condition (2) for relatively loose usage, and detects only alteration of the face area. In this case, if the alteration of the face area is detected, the use of the image as the ID photo is prohibited. On the other hand, any alteration other than the face area is not questioned.
After such a verification operation, the computer performs processing such as registration or authentication as an ID photo or saving and recording in an ID card only for image files that are permitted to be used.

[Effects of Second Embodiment, etc.]
In the second embodiment, the same effect as in the first embodiment can be obtained.
Furthermore, in the second embodiment, it is possible to specify a falsification location in an image by verifying the presence or absence of falsification for each partial image region.
Furthermore, by determining whether or not the falsified portion is a face region, it can be more appropriately verified whether or not the ID photo should be permitted.
Next, another embodiment will be described.

<< Third Embodiment >>
The third embodiment is an embodiment relating to an electronic camera corresponding to claim 3 and a verification program corresponding to claim 7. Since the configuration of the electronic camera is the same as that of the first embodiment (FIG. 1), description thereof is omitted here.

[Explanation of operation on the electronic camera]
FIG. 7 is a flowchart for explaining the operation of the third embodiment. Hereinafter, the operation will be described along the step numbers shown in FIG.

Steps S61 to S63: The same processing as Steps S1 to S3 of the first embodiment.

Step S64: The microprocessor 19 reads the image area data from the image data in the memory 17. The microprocessor 19 extracts a predetermined range important as an ID photo from the image area and sets it as a partial image area. As the predetermined range, it is preferable to set an approximate range where the face is located as the ID photo.
Note that a face area may be specified by the face recognition technique described above, and a range including the face area may be set as a predetermined range.
Further, the image central area that is not affected by the processing of the peripheral portion of the image (for example, cropping processing, peripheral light reduction correction processing, or magnification chromatic aberration correction processing) may be set to a predetermined range.

Step S65: The microprocessor 19 creates data necessary for searching the position of the partial image area from the image area and uses it as search data. For example, a part of the image pattern of the partial image area may be extracted as reference data for pattern matching and used as search data. Further, for example, high frequency components (edges, contour structures, etc.) of the partial image region may be extracted and used as search data.

Step S66: The microprocessor 19 processes this partial image area to create partial image verification data for falsification detection. For generating such partial image verification data, for example, processing such as a hash function, checksum, or CRC can be selected and used.

Step S67: The microprocessor 19 encrypts the information verification data obtained in Step S63, the partial image verification data obtained in Step S66, and the search data obtained in Step S65 with an encryption key, and stores the encrypted data. create. This encryption may be performed collectively to create one encrypted data, or may be performed individually to create a plurality of encrypted data.

Step S68: The recording unit 22 records and saves the image file storing the image data, the shooting information, and the encrypted data in the recording medium 22a.

[Explanation of verification program side]
FIG. 8 is a flowchart for explaining the computer operation by the verification program. Hereinafter, the operation will be described along the step numbers shown in FIG.

Step S71: The image file created by the above-described process (FIG. 7) is input to the computer. The computer reads image data, shooting information, and encrypted data from the image file.

Step S72: The computer performs the same processing as the above-described step S63 on the read photographing information, and creates information verification data.

Step S73: The computer decrypts the read encrypted data using a predetermined decryption key, and the partial image verification data, the information verification data, and the search data before being encrypted in Step S67 described above. Get the data.

Step S74: The computer searches and specifies the position of the partial image area from within the image area using the search data. For example, if a partial image pattern or contour image of a partial image area has been recorded as search data, pattern matching (residual sequential test etc.) is performed within the image area, and the position of the partial image area Should be specified.
If the position of the partial image area cannot be specified, it is estimated that the partial image area has been largely tampered with, and therefore it may be immediately determined that the partial image area has been tampered with. Further, the determination may be left to the collation operation (step S80) described later by determining the partial image region for the time being through the same procedure as in step S64 described above.

Step S75: The computer extracts a partial image area from the specified position of the image area. The computer performs the same process as in step S66 described above on the extracted partial image area, and creates partial image verification data.

Steps S76 to S79: The same processing as Steps S19 to S22 of the first embodiment.

Step S80: The computer collates the decoded partial image verification data with the partial image verification data created in step S75.

Step S81: When the partial image verification data is consistent, the computer shifts the operation to Step S83. Conversely, if the partial image verification data is inconsistent, the operation proceeds to step S82.

Step S82: The computer displays a warning such as setting a partial image area indicating inconsistency as a falsified position and blinking the falsified position on the screen.

Step S83: The computer can determine the conditions for at least the following two points.
(1) The partial image area has been tampered with.
(2) Shooting information has been tampered with.
By appropriately combining these two determinations of conditions, it is possible to define the employment conditions for ID photographs in detail.
For example, the computer determines all of the conditions (1) to (2) for a strict use application, and prohibits the use of an image as an ID photo only by satisfying any one of them.
Further, the computer determines only the condition (1) for a relatively loose usage and detects only alteration of the partial image area. In this case, as long as the partial image region important as the ID photo is original, the use of the image as the ID photo is permitted.
After such a verification operation, the computer performs processing such as registration or authentication as an ID photo or saving and recording in an ID card only for image files that are permitted to be used.

[Effects of Third Embodiment]
In the third embodiment, the same effect as in the first embodiment can be obtained.
Furthermore, in the third embodiment, the partial image region is specified using the search data. Therefore, even if the partial image area is moved on the screen by the cropping process of the image area, the partial image area can be specified again (tracked) and the presence / absence of the alteration can be detected.
Therefore, unlike the prior art, it is not considered that the image has been tampered simply by cropping the in-screen ratio and position of the face portion for the ID photo. In addition, it is possible to appropriately verify whether or not the ID photo should be permitted by detecting falsification of an important part (partial image area) as the ID photo.

<< Additional items of embodiment >>
In the embodiment described above, encrypted data (verification data) is stored in the image file. However, the present invention is not limited to this. For example, the encryption data (verification data) may be stored in a file different from the image file.

  In the above-described embodiment, verification data may be generated from data before image compression, or verification data may be generated from data after image compression in an image area.

  In the above-described embodiment, the verification data is created for the image area and the partial image area. However, the present invention is not limited to this. For example, a filter image may be generated by extracting a predetermined spatial frequency component from the image region, and verification data may be created for the filter image or the partial image region. Frequency filter such as wavelet transform can be used for generating such a filter image. By adding such processing, forgery of verification data can be made difficult.

  In the above-described embodiment, a hash function, checksum, or CRC is used as a method for calculating verification data. However, the present invention is not limited to this. In general, any calculation method that calculates different data reflecting the alteration of the original data may be used.

  As described above, the present invention is a technique that can be used for an electronic camera, a verification program (computer), and the like.

1 is a block diagram showing an electronic camera 11. FIG. It is a figure explaining the whole flow of the data processing in 1st Embodiment. It is a flowchart explaining the operation | movement by the side of the electronic camera in 1st Embodiment. It is a flowchart explaining the computer operation | movement by a verification program. It is a flowchart explaining the operation | movement by the side of the electronic camera in 2nd Embodiment. It is a flowchart explaining the computer operation | movement by a verification program. It is a flowchart explaining the operation | movement by the side of the electronic camera in 3rd Embodiment. It is a flowchart explaining the computer operation | movement by a verification program.

Explanation of symbols

DESCRIPTION OF SYMBOLS 11 Electronic camera 12 Shooting lens 12a Lens control part 13 Imaging element 14 Imaging control part 15 Signal processing part 16 A / D conversion part 17 Memory 18 Bus 19 Microprocessor 19a Operation part 20 Image processing part 22 Recording part 22a Recording medium 23 Monitor display Part

Claims (7)

An imaging unit that shoots a subject and generates image data;
An information processing unit for generating or acquiring shooting information of the image data;
A verification data creation unit for creating image verification data for falsification detection for data of an image region in the image data, and creating information verification data for falsification detection for the photographing information;
An electronic camera comprising: the image data, the shooting information, the image verification data, and a recording unit that records the information verification data on a recording medium. An imaging unit that shoots a subject and generates image data;
An image extraction unit for extracting a plurality of partial image regions from the image data;
A verification data creation unit for creating partial image verification data for falsification detection for each partial image region;
An electronic camera comprising: a recording unit that records the image data and the partial image verification data on a recording medium. An imaging unit that shoots a subject and generates image data;
An image extraction unit for extracting a partial partial image region from the image data;
A verification data creation unit for creating partial image verification data for falsification detection for the partial image region;
A search information processing unit for creating search data for searching the position of the partial image region from within the image region;
An electronic camera comprising: a recording unit that records the image data, the partial image verification data, and search data on a recording medium. Computer
An input unit that captures the image data generated by the electronic camera according to claim 1, the imaging information, the image verification data, and the information verification data;
An image tampering detection unit for determining tampering of the image region by comparing the image region in the image data with the image verification data;
A verification program for functioning as an information falsification detection unit that determines whether the photographing information has been falsified by comparing the photographing information with the information verification data. Computer
An input unit that captures the image data generated by the electronic camera according to claim 2 and the partial image verification data;
A partial image acquisition unit that extracts a plurality of partial image regions from the image data;
In order to function as a partial image alteration detection unit that identifies the alteration location in the image area by collating with the partial image verification data for each partial image area and determining alteration for each partial image area. Verification program. The verification program according to claim 5,
The partial image alteration detection unit
Use facial recognition technology to determine whether the specified alteration location is included in the face area. If the alteration location is included in the facial area, use of the image data as an ID photo is prohibited. A verification program featuring: Computer
An input unit that captures the image data generated by the electronic camera according to claim 3, the partial image verification data, and search data;
A position search unit for searching for a position of a partial image area from which the partial image verification data is created from within the image area of the image data using the search data;
Verification for functioning as a partial image alteration detection unit for determining whether or not the partial image region has been altered by collating the partial image region searched for by the location search unit with the partial image verification data. program.

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