JP2003317036A - Apparatus and method for issuing medium for certification - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a certification medium issuing apparatus which can use feature information showing representative features of a face as supplementary information for an inputted face image by writing even the feature information to a storage medium together with the inputted face image and issue a medium for certification complementing a feature lack accompanying, for example, compression of the face image. <P>SOLUTION: The ID card issuing apparatus which prints the face image and personal information of a card issue applicant together on an ID card with a memory chip in an unissued state and also stores the face image and personal information also in the memory chip to issue the ID card extracts representative features of the face of the card issue applicant and writes the feature information as supplementary information for the face image to the memory chip to complement a feature lack of the face image accompanying compression of the face image. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a person's face image and personal information such as an automobile driver's license (hereinafter simply referred to as license) and various certificates (including card type and booklet type). The present invention relates to a certification medium issuing device for issuing a certification medium by printing together with a certification medium in an unissued state, and in particular, using an IC card having a built-in memory chip as a certification medium, The present invention relates to a certification medium issuing device and a certification medium issuing method for storing a facial image and personal information in a memory chip to issue a certification medium.

[0002]

2. Description of the Related Art ID cards used as various certificates are known as this type of certification medium. In such an ID card issuing device for issuing an ID card with a memory chip, the face image to be written in the memory chip is compressed at a high compression rate by irreversible compression technology such as JPEG to meet the storage capacity of the memory chip. It is compressed. However, as a harmful effect of compressing the face image at a high compression rate, when the face image is decompressed, feature loss occurs, reproducibility with respect to the face image before compression is poor, and the feature of the person is judged from the face image. Can be very difficult to do.

[0003]

The purpose of storing the face image of the owner in the memory chip of the ID card with a memory chip is to prove the owner of the ID card, but is accompanied by the compression of the face image. Since the degree of deterioration is large, it may be very difficult to determine whether the face image is the face image of the owner of the ID card. Further, even when the photographed image and the actual impression of the face are different, it is similarly difficult to determine whether or not the face image is of the ID card owner.

Therefore, according to the present invention, the feature information indicating the typical features of the face is written in the storage medium together with the input face image, so that the feature information can be used as supplementary information of the face image. It is an object of the present invention to provide a proof medium issuing device and a proof medium issuing method capable of issuing a proof medium capable of compensating, for example, a feature loss due to compression.

[0005]

The proof medium issuing device of the present invention is an image input means for inputting at least a face image of a person, and a personal information acquisition for obtaining personal information necessary for issuing the proof medium of the person. Unit, and the face image input by the image input unit and the personal information corresponding to the face image acquired by the personal information acquisition unit are printed on the surface of an unissued certification medium including a storage medium. Printing means, characteristic information input means for inputting characteristic information indicating at least representative characteristics of the face of the person, and at least the face image input by the image input means and the characteristic information input means corresponding to the face image. Writing means for writing the characteristic information input by the above into the storage medium of the unissued certification medium.

Further, the certification medium issuing method of the present invention comprises an image input step of inputting at least a face image of a person,
The personal information acquisition step of acquiring the personal information necessary for issuing the person's proof medium, the face image input in the image input step, and the personal information acquired in the personal information acquisition step corresponding to the face image, A printing step of printing on the surface of an unissued certification medium provided with a storage medium, a characteristic information inputting step of inputting characteristic information indicating a representative characteristic of at least the face of the person, and at least the image inputting step The writing step of writing the face image input by the above step and the feature information corresponding to the face image input step in the feature information input step into the storage medium of the unissued certification medium.

[0007]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 schematically shows the configuration of an ID card issuing device according to this embodiment. In FIG. 1, this ID card issuing device is connected to a host computer 101, which is a general-purpose computer that controls overall control, and is connected to this host computer 101, and at least a card issuance applicant (hereinafter also referred to as a person to be photographed or a person). ) Database 102 as a storage unit that stores personal information including various information described in the ID card 1 in association with a personal number (ID number) as unique identification information that the card issuing applicant 1 has, The image capturing device 103 that captures the face image of the card issuance applicant 1 receives a face image of the card issuance applicant 1 and personal information such as the personal number, name, age, and address in an unissued state by a command from the image capturing device 103. ID by printing on ID card
Printing device 10 as printing means for creating card 104
5. At the same time, filing device 1 for filing personal information such as face image, personal number, name, age, address, etc.
06, these host computer 101, photographing device 10
3, printing device 105, and filing device 106
And a network 107 interconnecting the components. The printing device 105 includes an IC writing device 108 as writing means for writing a face image, personal information and the like on the memory chip 109 of the ID card 104.

The ID card 104 as a certification medium is
For example, an IC card is used, and I is used as a storage medium.
The C-shaped memory chip 109 is built in. A face image 110 and personal information 111 such as a personal number, name, age, and address are printed on the surface of the ID card 104.

The IC card used as the ID card 104 is a contact type IC card which communicates with the IC writing device 108 via a contact portion, or a non-contact type IC card which wirelessly communicates with the IC writing device 108. It may be a contact type IC card.

FIG. 2 schematically shows the external structure of the photographing device 103. The photographing apparatus 103 is an illuminator 2 that illuminates a person to be photographed (person) 1 who is a card issuer, and a CCD type video camera as an image input means for photographing and inputting at least a face image of the person to be photographed 1. 3, a display device (monitor display) 4 for guiding and displaying the shooting state and guidance to the person 1 to be photographed, a speaker 5 for similarly giving guidance and the like to the person 1 to be photographed, and operation instructions by the operator, A control table (control section) 6 for processing an input image from the camera 3 and outputting it to the display unit 4 and a built-in storage section, a chair 7 on which the person to be photographed 1 sits when photographing, and The background plate 8 serves as a background of the person 1 to be photographed.

Note that the speaker 5 is attached to a portion of the background plate 8 corresponding to the person to be photographed 1, and sound is emitted from a sound emission hole provided in the background plate 8. There is. Further, the color of the background plate 8 is set to a color (for example, blue) suitable for the background of the certification photograph.

FIG. 3 is a block diagram showing the overall structure of the image pickup apparatus 103 shown in FIG. That is, a video capture unit 11 that converts an analog signal (input image) from the camera 3 into a digital signal in real time and transfers the digital signal to a video memory, a main memory, and the like, and other drawing processing. A video acceleration section 12 for controlling display on the display unit 4, a sound control section 13 for controlling voice for guidance to the speaker 5, a CPU for performing various arithmetic processes and various controls on image data and others.
(Central processing unit), main memory for temporarily storing image data, calculation results, etc., CPU section 14 provided with an interface with various peripheral devices, external bus connecting various peripheral devices (eg SCSI) The external bus control unit 15, a large-capacity storage device 16 such as a hard disk device as a storage unit for storing various OSs and applications, control data, image data, and the like, and output data of the control stand 6 are portable. Storage medium (eg, magneto-optical disk) 17
Reader / writer unit 1 that reads and writes data from and to
8. Keyboard 19 as an input means operated by the operator
Optical reader (OC) as an identification information input means for optically reading and inputting the personal number, which is identification information unique to the card issuance applicant, the mouse 20, and the card issuance application
R) 21 and a network adapter (LAN card, etc.) 22 for mutual communication with other various devices (host computer 101, printing apparatus 105, filing apparatus 106, etc.) on the network 107. ing.

In such a structure, the photographing device 103
The main processing of will be described with reference to the flowchart shown in FIG. First, in step S101, by setting the card issuance application form brought by the card issuance applicant 1 who creates the ID card in the optical reading device 21,
Enter the personal number, which is the identification information unique to the card issuer, from the card issue application. The personal number read from the card issuance application is sent to the CPU 14 and stored in the main memory.

Next, in step S102, the CPU unit 1
4 is a card issuing applicant 1 from the database 102, using the personal number read from the card issuing application as a key.
It retrieves and reads the personal information of and stores it in the main memory. Here, the processing of step S102 corresponds to the personal information acquisition means in the present invention.

Next, in step S103, the operator
The keyboard 19 or the mouse 20 is used to give an instruction to start the photographing process. Next, in step S104, a face image of the person to be photographed 1, which will be described in detail later, is photographed. Next, in step S105, it is determined whether or not the photographing process of step S104 is normally completed. If there is an error, in step S107, the display 4 and the speaker 5 are displayed.
Thus, predetermined guidance is given to the operator and the person to be photographed 1, and the process returns to step S101.

Next, in step S106, the operator judges and inputs the typical characteristics of the face of the person to be photographed 1 who is the applicant for ID card issuance, by the supplemental characteristics extraction processing which will be described in detail later. To do. Here, the process of step S106 corresponds to the feature information input means in the present invention.

Next, in step S108, the data to be written to the memory chip 109 of the ID card 104 and the ID card 1 are subjected to the output processing described later in detail.
Print data to be printed on the front surface 04 is generated, and the printing device 105 prints the front surface of the card and writes the data on the memory chip 109. After that, step S101
Then, the procedure returns to step 1 to prepare for the next shooting process.

In FIG. 5, an input image (face image) 31 from the camera 3 and an eye outline region 33 which is a relative position from the face contour region 32 in the input image 31 are specified, and the outline region 33 is specified. Detect the positions 34 and 35 of both eyes,
It shows how to determine the cutout area of the output image.

The photographing process of step S104 in FIG. 4 will be described below with reference to the flowchart shown in FIG. 6 and FIG. The processing described below is mainly executed by the control of the CPU in the CPU unit 14. First, in step S1, the number of retries counted by a counter (not shown) and other data are initialized, and the process proceeds to step S2. In step S2, the input image 31 from the camera 3 is input via the video capture unit 11.
(See FIG. 5) is taken in and temporarily stored in the main memory in the CPU unit 14, and the process proceeds to step S3.

In step S3, the face contour position detection process, which will be described in detail later, searches for an area (photographed person 1) having a pixel different from the background color in the input image 31 to detect the photographed person 1 The position of the face contour area 32 is detected.
Next, in step S4, it is determined whether or not the position of the face contour area 32 detected in step S3 is within an appropriate range.

As a result of this determination, the detected face contour area 32
Is not within the proper range (for example, when the person to be photographed 1 is not in front of the camera 3 or the position of the face contour region 32 is largely deviated vertically and horizontally).
Returns to step S2 and captures the input image 31 again.

If the result of determination in step S4 is that the detected position of the face contour area 32 is within the proper range, the operation proceeds to step S5. In step S5, the face contour area 32 detected in step S3 is narrowed down to a statistically determined pupil position schematic area 33 in which the pupil must always exist, so that the pupil position schematic area 33 has the same pupil position as the pupil. The parts 34 and 35 having a round shape are extracted.

Next, in step S6, it is determined whether or not the number of parts having the same round shape as the pupil extracted in step S5 is a prescribed number. If the result of this determination is less than the specified number, it is determined that the pupil is not open, and step S7
Wait for a specified time (for example, about 0.1 seconds), and proceed to step S8. In step S8, it is checked whether or not the number of retries is within a preset specified value, and if it is within the specified value, the process proceeds to step S9. In step S9, the number of retries is incremented, the process returns to step S2, and the process from step S2 is performed again as a retry process.

As a result of the determination in step S6, if the number of extractions satisfies the specified number, the process proceeds to step S10. Step S
In step 10, the shapes around the extracted regions are compared with the sample data of the left and right pupils, and the extracted regions having the highest degree of similarity are extracted for the left and right pupils. Next, in step S11, it is determined whether or not the degree of similarity is equal to or greater than a preset threshold value. If the similarity is greater than or equal to the threshold, it is determined that the pupil position is normally open. Go to S7,
A retry process similar to the above is performed. Since there are two pupils, samples are prepared for the left and right pupils, and the above determination is performed by comparing with the left and right pupil samples to recognize the state of the left and right pupils.

Next, in step S12, an output image is generated by an output image generation process which will be described in detail later, and the process returns. As a result of the check in step S8, if the number of retries is not within the specified value (when the number of retries is greater than or equal to the specified number), the photographing process is abandoned, error processing is performed in step S13, and the process returns.

In summary, the photographing process in step S104 is summarized as follows: If the subject 1 is photographed, if it is blinking or blinking, it is determined in step S6 and the retry process is performed while the eyes are blinking. Wait for it to open. If the person to be photographed 1 is not a normally opened eye such that his / her eyes are open but does not look away or face the other side firmly, it is judged in the processing of steps S10 to S11 and opened normally. Wait for your eyes. Further, the processing of steps S10 to S11 also operates as a correction processing for what is erroneously determined in the processing of step S5. Furthermore, the processing of steps S10 to S11 also acts on the abnormally over-opened eyes (surprised eyes) that cannot be determined by the processing of step S5, and performs the retry processing.

FIG. 7 shows areas, coordinate values, and numerical names used in face contour position detection processing, which will be described later. In FIG. 7, XSTILLLIZE: the number of pixels in the horizontal direction of the image input from the camera 3 YSTILLLIZE: the number of pixels in the vertical direction of the image input from the camera 3 XFMGSIZE: The horizontal length of the image when outputting to the printing device 105 or the filing device Number of Pixels YFMGSIZE: Number of Pixels of Image Vertical Length when Outputting to Printing Device 105 or Filing Device FACESIZE: Average Number of Pixels of Face Height of Photographer Taken at Fixed Shooting Distance OVERHEAD: Face of FACESIZE XFMGS
This is the number of pixels in the vertical direction in which the background plate 8 is necessary to improve the balance of the face position when the image is stored in the output image size of IZE × YFMGSIZE.

In FIG. 7, the search area (measurement area) FE has the upper left apex (XSTART, YTOP),
This is an area where the lower right apex is (XST0P, YTOP + measured height). The values of XSTART and XST0P are the left end x-coordinate and the right end x-coordinate of a preset range that will surely be included in the input image when the person to be photographed 1 sits on the chair 7. In addition, the above-mentioned measurement height is 1
This is a value set in advance as a range that will not be affected by a region that greatly spreads to the left and right in the lower part of the face such as the shoulders and long hair.

The face contour position detection processing of step S3 in FIG. 6 will be described below with reference to the flowchart shown in FIG. 8 and FIG. The processing described below is mainly executed by the control of the CPU in the CPU unit 14. First, in step S111, the color components of the background plate 8 are measured in the upper right area RE and the upper left area LE of the input image 31 stored in the main memory of the CPU unit 14, and the process proceeds to step S112. In step S112,
It is determined whether or not the result measured in step S111 is a color component (blue component) that seems to be the background plate 8, and the process proceeds to step S113. At this time, the non-blue background (which is not a blue component) is determined to be the face image portion of the subject 1.

In step S113, a vertical crown height vertical line number headtop is obtained by performing a parietal height position detection process described later, and the flow proceeds to step S114. In step S114, it is confirmed whether or not the parietal position is within the specified range, and the process proceeds to step S115. Step S11
In step 5, the horizontal face center position detection processing, which will be described later, is performed to obtain the face center position lateral line number center, and the process proceeds to step S116.

In step S116, it is confirmed whether or not the face center position is within the specified range, and the process proceeds to step S117. In step S117, the position where the horizontal line number center and the vertical line number headtop intersect is set as the face contour reference position, and the flow proceeds to step S118. In step S118, the processing result is “within the face contour position prescribed range”.
Set to and return. If the result is NG in step S112, step S114, or step S116, the processing result is set to "outside the face contour position regulation range", and the process returns.

Next, the crown height position detection processing of step S113 in FIG. 8 will be described with reference to the flowchart shown in FIG. 9 and FIG. First, step S1
At 31, a specified range (overhead + 1 line to YRANG) in which at least the crown of the photographer 1 exists
Confirm that the top of the subject 1 is on the E line). Here, YRANGE = (YSTILLLSIZE-
YFMGSIZE + OVERHEAD). Also,
Of the pixels forming the horizontal line of the vertical line number OVERHEAD in the input image, the number of pixels different from the color components of the background plate 8 (that is, the face part of the person to be photographed) is counted, and whether the number is equal to or more than a specified value. Confirm whether or not.

Further, similarly, it is confirmed whether, out of the pixels forming the horizontal line of YRANGE, a pixel different from the color component of the background plate 8 has a specified value or more, and the color component of the background plate 8 is placed on the OVERHEAD line. It is confirmed that the pixels different from are less than the specified value, and the pixels different from the color component of the background plate 8 on the YRANGE line are the specified values or more. This specified value means that the hair of the person to be photographed 1 is fluffy to the side or the background plate 8
If there is a foreign object with a different color from that color, this value is used to ignore that part.

Next, in step S132, the vertical line number OVERHEAD of the input image is set to i, and YR is also set.
Set ANGE to j and proceed to step S133. In step S133, after it is confirmed that there are more than 0 lines between the i line and the j line, the process proceeds to step S134. In step S134, the central line ((i + j) / 2) between the i line and the j line is set to k, and the process proceeds to step S135.

In step S135, among the pixels forming the horizontal line of k, the number of pixels different from the color components of the background plate 8 is counted, and it is determined whether the number is equal to or more than a specified value. The specified value is a numerical value for ignoring the hair of the person to be photographed 1 when the hair is laterally fluffed or the background plate 8 has a minute foreign substance different from the color.

If the result of determination in step S135 is greater than or equal to the specified value, k is set to j in step S136,
Returning to step S133, if the determination result of step S135 is not equal to or more than the specified value, k is set to i in step S137, the process returns to step S133, and the same operation as above is repeated.

In this way, the OVERHE of the input image is
From the search area from AD to YRANGE, the search area is halved for each processing loop, and when j-i becomes less than 1 (0 line when there is no difference in the number of lines), that is, step If the determination result of S133 is less than 0 line, the process proceeds to step S138.

In step S138, i of the crown Y line is set to the crown position headtop, and step S13 is performed.
Proceed to 9. In step S139, the processing result is set to "within the parietal position prescribed range", and the process returns.

As a result of the judgment in step S131, Y
If there is no face image data in RENGE, OVERHEAD
If there is face image data in, and it is determined that the face image is not within the specified range, the process proceeds to step S140. In step S140, the processing result is set to "outside the specified range of the crown position", and the process returns.

Next, the horizontal face center position detection processing of step S115 in FIG. 8 will be described with reference to the flowchart shown in FIG. 10 and FIG. First, in step S151, the leftmost vertical line number 0 of the input image 31 is input.
Is set to i, and the central vertical line number (XS
TILLSIZE / 2) to j, and step S15
Go to 2. In step S152, it is confirmed whether or not there are more than 0 lines between the i line and the j line. If there are more lines, the process proceeds to step S153.

In step S153, the central vertical line ((i + j) / 2) between the i line and the j line is set to k, and the flow advances to step S154. In step S154,
Of the pixels forming the k vertical line, step S1
The number of pixels of a color different from the color component of the background plate 8 measured in 11 is counted, and it is determined whether the number is equal to or more than a specified value. This specified value means that the hair of the person to be photographed 1 is fluffy to the side or the background plate 8
When there is a minute foreign substance different from that color, it is a numerical value for ignoring that portion.

If the determination result in step S154 is greater than or equal to the specified value, k is set to j in step S155, and the process returns to step S152. If the determination result in step S154 is not greater than or equal to the specified value, the process proceeds to step S156. K
Is set to i, the process returns to step S152, and the same operation as above is repeated.

In this way, the search area is halved for each processing loop from the search area in the left half of the input image 31, and when j-i becomes less than 1, that is, the determination in step S152. If the result is less than 0 line, the process proceeds to step S157.

In step S157, step S152
When j-i becomes less than 1, i is set to the left face vertical line headleft, and the process proceeds to step S158. In step S158, the central vertical line number (XSTART + XSTOP / 2) of the input image 31 is set to i, the right end vertical line number (XSTOP) of the input image 31 is set to j, and the process proceeds to step S159. Step S15
At 9, it is confirmed whether there are more lines than 0 lines between the i line and the j line, and if there are more lines, the process proceeds to step S160.

In step S160, the central vertical line ((i + j) / 2) between the i line and the j line is set to k, and the flow advances to step S161. In step S161,
Of the pixels forming the k vertical line, step S1
The number of pixels of a color different from the color component of the background plate 8 measured in 11 is counted, and it is determined whether the number is equal to or more than a specified value. This specified value means that the hair of the person to be photographed 1 is fluffy to the side or the background plate 8
When there is a minute foreign substance different from that color, it is a numerical value for ignoring that portion.

If the determination result in step S161 is greater than or equal to the specified value, k is set to j in step S162 and the process returns to step S159. If the determination result in step S161 is not greater than or equal to the specified value, the process proceeds to step S163. K
Is set to i, the process returns to step S159, and the same operation as above is repeated.

In this way, when the search area is halved for each processing loop from the search area in the right half of the input image 31, and ji becomes less than 1, that is, the determination in step S159. If the result is less than 0 line, the process proceeds to step S164.

In step S164, step S159
When j-i becomes less than 1, the i is set to the face right edge vertical line headright, and the process proceeds to step S165. In step S165, the left edge vertical line headleft set in step S157 and the right edge vertical line headri set in step S164.
The center position is calculated based on ght and the calculated value is used as the value of center, and the process returns.

By the processing of FIGS. 8 to 10 described above, the determination in step S4 is carried out at the face reference position (center, h).
eadtop) by determining the value of
From this reference position, the printing device 105 and the filing device 1
Whether or not the photograph size (trimming size) at the time of outputting to 06 can be acquired is determined by the following formula, and if the formula is satisfied, the determination in step S4 is performed such that the position of the face contour region 32 is within an appropriate range. If not, the determination in step S4 is that the position of the face contour area 32 is not within the proper range.

XFMGSIZE / 2 <center
<(XSTILLLSIZE-XFMGSIZE / 2) OVERHEAD <headtop <YRANGE FIG. 11 is a flowchart showing the details of the output image generation processing of step S12 in FIG. 6, which will be described below with reference to FIG. The processing described below is mainly executed by the control of the CPU in the CPU unit 14. First, in step S31, the center position 36 of the left and right pupil positions 34, 35 detected in step S10 is calculated. Next, in step S32, the central positions 3 of the left and right pupils
As a relative position from 6, the face trimming position is calculated. The relative positional relationship between the left and right pupils and the trimming position is determined so that the center image of the left and right pupils of the face image after trimming comes to a position suitable for a certification photograph.

Next, in step S33, the trimming image 37 is generated according to the determined trimming position. Next, in step S 34, the trimmed image 37 is subjected to data compression processing for print data to generate a compressed image 38, which is stored in the main memory of the CPU unit 14. Here, the process of step S34 corresponds to the second image compression means in the present invention.

The compression process in step S34 is performed thereafter.
When a print instruction is given to the printing apparatus 105, the compression time is obtained from the restriction of the communication time, which depends on the throughput of the system when transmitting data, and the restriction for maintaining the print quality on the card surface in the printing apparatus 105. Must be done at a rate.

As for the compression method, in the case of a reversible compression method,
Although the compression rate is low, the image after decompression becomes the same as the image before decompression, and there is no problem from the viewpoint of maintaining print quality, and it is possible if the communication time constraint in data transfer is satisfied. Further, in the case of the irreversible compression method, the compression rate is higher than that in the reversible compression method, but as the compression rate becomes higher, the reproducibility of the image after decompression deteriorates, so that the print quality is maintained. In the constraint, it is necessary to set the compression rate low. In the present embodiment, the compression processing in step S34 is compressed to 1/10 using an image compression technique called JPEG, for example.

Next, in step S35, the trimmed image 37 is subjected to data compression processing for writing to the memory chip to generate a compressed image 39, and the CPU unit 14
Stored in the main memory of. Here, this step S3
The processing of No. 5 corresponds to the first image compression means in the present invention.

As a restriction on the compression processing in step S35, it is necessary to compress to a data size that allows writing to the memory chip 109 in the ID card 104. Since the storage capacity of the memory chip 109 is much smaller than the image size of the trimming image 37 and the size after compression by the compression rate in step S35, data compression at a higher compression rate is necessary. . Therefore, the compression method is an irreversible compression method, and it is necessary to perform data compression at a high compression rate, which deteriorates image reproducibility. In the present embodiment, the compression processing in step S35 is, for example, compressed to 1/250 using an image compression technique called JPEG.

The output image generation processing of step S12 is summarized as follows. Trimming is performed from the input face image to generate a face image with a different compression rate for each of two uses, one for printing and one for storing memory chips. There is.

FIG. 12 shows step S106 in FIG.
5 is a flowchart showing the details of the supplemental feature extraction processing of No. 1, which will be described below. This supplemental feature extraction process shows a process in which the operator of the image capturing apparatus 103 inputs typical features of the face of the person to be photographed 1 who is the applicant for issuing an ID card. In addition, the processing described below is mainly performed by the CP.
It is executed under the control of the CPU in the U section 14. First,
In step S171, whether or not to perform the supplemental feature extraction is displayed as a menu on the monitor 4, and in the case of the supplemental feature extraction, one of the shapes of the face, eyes, nose, mouth, and the position of the mole should be selected. , Display guidance.

Here, the operator observes the presence / absence of typical features of the face of the person to be photographed 1, and selects and inputs the menu displayed on the monitor 4 using the keyboard 19 or the mouse 20. For example, when the shape of the face is selected as a representative feature of the face of the person to be photographed 1, in step S172, as a submenu, the monitor 4 has an egg shape, an inverted triangle shape, a square shape,
Guidance is displayed to select from rectangular, trapezoidal, and circular shapes. Here, the operator selects and determines the shape of the face of the person to be photographed 1 from this submenu.
Then, the menu selection state of step S171 is returned to again, and if the representative feature of the face of the person to be photographed 1 still exists, the operator again performs the similar supplemental feature extraction operation.

That is, for example, when the eye shape is selected as a typical feature of the face of the person to be photographed 1, in step S173, the monitor 4 is selected from large, small, drooping eyes and rising eyes as a submenu. In order to do so, the guidance is displayed. Here, the operator selects and determines the eye shape of the subject 1 from the submenu.

Further, for example, when the shape of the nose is selected as a typical feature of the face of the person to be photographed 1, step S1
At 74, guidance is displayed as a sub-menu on the monitor 4 to select from large, small, high, and low. Here, the operator selects and determines the shape of the nose of the subject 1 from the submenu.

Further, for example, when the mouth shape is selected as the representative feature of the face of the person to be photographed 1, step S1
At 75, guidance is displayed as a sub-menu on the monitor 4 to select from large, small, thin, and thick. Here, the operator selects and determines the shape of the mouth of the person to be photographed 1 from this submenu.

Further, for example, when the position of the kuroko is selected as a representative feature of the face of the person to be photographed 1, the right forehead is displayed on the monitor 4 as a submenu in step S176.
Left forehead, center of forehead, right outer corner of the eye, left outer corner of the eye, eyebrow, right cheek, left cheek,
Display guidance to select from nose, right chin, left chin, and chin center. Here, the operator selects the position of Kuroko of the subject 1 from this submenu,
decide.

In this way, when the input of the representative feature information of the face is completed or when it is determined that there is no representative feature information, "NO" is selected in step S171 and the process is completed. At the end of the process, all the characteristic information input so far is stored in the main memory of the CPU unit 14.

FIG. 13 shows step S108 in FIG.
2 is a flowchart showing the details of the output processing of the above, which will be described below. The processing described below is mainly executed by the control of the CPU in the CPU unit 14.
First, in step S181, as output data generation,
Already stored in the main memory of the CPU unit 14,
The personal number of the ID card issuance applicant obtained in step S101, the personal information obtained in step S102, the image 38 for printing with low compression rate and high image quality generated in step S34, and the image quality with high compression rate generated in step S35 Image 39 for writing to a memory chip having a low value, and output data 40 having one set of the characteristic information input in step S106 are generated and transferred to the printing apparatus 105.

Next, in step S182, the printing apparatus 1
At 05, the personal number, the personal information, and the printing image 38 received from the image capturing device 103 are extracted from the output data 40, and these are printed on the front surface of the ID card 104 in the unissued state. Next, in step S183, the printing apparatus 105
In the IC writing device 108, the personal number, the personal information, the memory chip writing image 39, and the characteristic information are extracted from the output data 40 received from the photographing device 103.
Then, the data is written in the memory chip 109 of the ID card 104.

As described above, the face image of the card issuer and the personal information are printed together on the ID card with a memory chip that has not been issued yet, and the face image and the personal information are stored in the memory chip as well. ID to issue the card
In the card issuing device, typical features of the face of the card issuance applicant are extracted, and the feature information is written in the memory chip as supplementary information of the face image, so that the face image features missing due to the face image compression processing. It becomes possible to supplement.

Therefore, even if the face image in the memory chip is decompressed and the reproducibility of the face image before compression deteriorates, the face image can be referred to by referring to the feature information. Therefore, the characteristics of the person can be easily determined, and erroneous determination and non-determination can be significantly reduced.

[0068]

As described above in detail, according to the present invention, the feature information indicating the typical features of the face is also written in the storage medium together with the input face image, so that the feature information is stored in the face image. It is possible to provide a certification medium issuing device and a certification medium issuing method which can be used as supplementary information and can issue a certification medium capable of compensating for a feature missing due to compression of a face image.

[Brief description of drawings]

FIG. 1 is a block diagram schematically showing a configuration of an ID card issuing device according to an embodiment of the present invention.

FIG. 2 is a configuration diagram schematically showing an external configuration of a photographing device.

3 is a block diagram schematically showing the overall configuration of the image capturing apparatus shown in FIG.

FIG. 4 is a flowchart for explaining main processing of the image capturing apparatus.

FIG. 5 specifies an input image from a camera and an outline area of an eye which is a relative position from a face contour area in the input image,
FIG. 6 is a diagram illustrating a state in which the positions of both eyes are respectively detected from the rough area and a cutout area of an output image is determined.

FIG. 6 is a flowchart for explaining a photographing process of the photographing device.

FIG. 7 is a diagram for explaining areas, coordinate values, and numerical names used in face contour position detection processing.

FIG. 8 is a flowchart for explaining face contour position detection processing.

FIG. 9 is a flowchart for explaining a parietal height position detection process.

FIG. 10 is a flowchart for explaining left-right face center position detection processing.

FIG. 11 is a flowchart illustrating an output image generation process.

FIG. 12 is a flowchart for explaining supplemental feature extraction processing.

FIG. 13 is a flowchart for explaining output processing.

[Explanation of symbols]

1 ... Person to be photographed (person, card issue applicant), 101 ... Host computer, 102 ... Database (storage means), 103 ... Imaging device, 104 ... ID card (certification medium), 105 ... Printing device (printing means) , 106 ... Filing device, 107 ... Network, 108 ... IC writing device (writing means), 109 ... Memory chip (storage medium), 3 ... Video camera (image input means), 4 ... Monitor (display means), 6 ... Control Table (control unit), 19 ... Keyboard (input means), 20 ... Mouse (input means), 21 ...
Optical reader (identification information input means).

Claims (8)

[Claims] 1. An image input means for inputting at least a face image of a person, a personal information obtaining means for obtaining personal information necessary for issuing the person's certification medium, a face image input by the image input means, and Printing means for printing the personal information obtained by the personal information obtaining means corresponding to the face image on the surface of an unissued proof medium having a storage medium, and a representative feature of at least the face of the person. Characteristic information inputting means for inputting characteristic information indicating that the facial image input by the image inputting means and the characteristic information input by the characteristic information inputting means corresponding to the facial image are used for proving the unissued state. A certifying medium issuing device, comprising: a writing unit that writes in a storage medium of the medium. 2. The feature information indicating the representative feature of the face is at least one of the shape of the face, eyes, nose and mouth of the person, the position of the lentis, and the like.
The certifying medium issuing device described. 3. A first image compression unit for compressing a face image input by the image input unit at a predetermined first compression ratio, wherein the writing unit includes the first image compression unit. 2. The certification medium issuing device according to claim 1, wherein the compressed face image is written in a storage medium of the certification medium in an unissued state together with the characteristic information input by the characteristic information input means. 4. The printing device further comprises a second image compression unit for compressing the face image input by the image input unit at a predetermined second compression rate lower than the first compression rate. 5. The face prints the face image compressed by the second image compressing unit on the surface of the unissued certification medium together with the personal information acquired by the personal information acquiring unit. Proof media issuing device. 5. The certification medium is an IC as a storage medium.
2. The certification medium issuing device according to claim 1, wherein the certification medium issuing device is an IC card having a built-in memory chip. 6. An image input step of inputting at least a face image of a person, a personal information acquisition step of obtaining personal information necessary for issuing the person's certification medium, a face image input by the image input step, and A printing step of printing the personal information obtained by the personal information obtaining step corresponding to the face image on the surface of an unissued proof medium having a storage medium, and a typical feature of at least the face of the person. A characteristic information input step of inputting characteristic information indicating that the facial image input in the image input step and the characteristic information input in the characteristic information input step corresponding to the facial image are used for certifying the unissued state. A certification medium issuing method comprising: a writing step of writing in a storage medium of the medium. 7. The feature information indicating a representative feature of the face is at least one of the shape of each person's face, eyes, nose, mouth, and the position of a moth.
Issuing method for certification media described. 8. The method further comprises an image compression step of compressing the face image input by the image input step at a predetermined compression rate, and the writing step includes the face image compressed by the image compression step as the feature information. 7. The certifying medium issuing method according to claim 6, wherein the certifying medium is written in the storage medium of the certifying medium that has not been issued yet together with the characteristic information input in the input step.