Identification information detection apparatus and program for detecting identification information

Abstract

To provide an identification information detection apparatus capable of detecting identification information with high accuracy, and a program for detecting identification information.SOLUTION: An identification information detection apparatus includes: an image sensor 16; a lens 15 which is arranged so that the light reflected by a surface of a target object pass through the center when the light is radiated in a direction normal to the surface of the target object having the surface with irregularities serving as identification information formed thereon; a multi-wavelength coaxial aperture filter 17 which is arranged between the lens 15 and the image sensor 16; image data acquisition means which acquires image data based on signals obtained from pixels of the image sensor, in the case where the target object is irradiated with the light in the direction normal to the surface, when the light diffusely reflected by the irregularities reaches the image sensor through the multi-wavelength coaxial aperture filter; and conversion means which converts the image data obtained by the image data acquisition means into identification information.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] This invention relates to an identification information detection device and an identification information detection program.

Background Art

[0002] Conventionally, identification information detection has been used for authenticity determination. In authenticity determination, there are an analog method in which a person with experience appraises the product or the like and makes an authenticity determination based on experience, and a digital method in which a specific ID or mark is attached to the product and the ID or mark is used by hardware or software to make an authenticity determination.

[0003] For these IDs and marks, methods such as embedding an IC tag, printing the mark itself, and attaching them later with an adhesive or the like are used. By attaching identification information to a product in this way, an individual can be identified, and by utilizing dedicated hardware or software for the identification information such as the ID and mark, the individual can be recognized. The devices used for such applications are, after all, dedicated devices and cannot be used for other applications.

[0004] Patent Document 1 discloses an identification device that performs authenticity determination of an article to which a forgery prevention medium is attached by a forgery prevention medium in which a pattern of light observed due to a change in light characteristics, which are characteristics of irradiated light, changes. This device includes a similarity calculation unit that obtains respective similarities between a plurality of captured image data in which the forgery prevention medium is imaged in a state where each of the light characteristics of the irradiated light is different, and correct image data corresponding to the light characteristics, and a forgery prevention medium by determining whether or not the similarity obtained for each light characteristic exceeds a threshold value set corresponding to each of the light characteristics. It comprises an authenticity determination unit that performs authenticity determination as to whether or not it is correct.

[0005] Patent Document 2 discloses an authenticity determination application and an authenticity determination system that can easily perform authenticity determination. The authenticity determination application according to this invention extracts shadow information from a photographed image of a marking member captured by a user terminal, evaluates the consistency by comparing it with shadow determination information pre-incorporated into the application, and controls the user terminal to determine that the marking member is legitimate when they match. The marking member has information related to an object including a predetermined hidden mark laser-engraved in advance, and at least one of the size, depth, and position of the hidden mark of the laser engraving differs in basic settings for each user. Further, the shadow determination information includes reference shadow information and hidden mark position information obtained corresponding to the processing information of the laser engraving based on relationship data between the size and depth of the laser engraving and the brightness of the photographed image of the laser engraving, and the application is different for each user by incorporating different shadow determination information for each user. Further, Non-Patent Document 1 discloses an imaging technique that can instantaneously obtain a clear image of minute defects.

Prior Art Documents

Patent Documents

[0006]

Patent Document 1

Patent Document 2

Non-Patent Documents

[0007]

Non-Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0008] Embodiments of the present invention provide an identification information detection device and an identification information detection program capable of performing high-precision identification information detection.

Means for Solving the Problems

[0009] The identification information detection device according to an embodiment of the present invention includes an image sensor, a lens arranged such that light reflected by a surface having a concavo-convex portion serving as identification information passes through the center when the surface is irradiated with light from a direction facing the surface of an object having the concavo-convex portion, a multi-wavelength coaxial aperture filter arranged between the lens and the image sensor, and image data acquisition means for obtaining image data based on signals obtained from each pixel of the image sensor when light diffusely reflected by the concavo-convex portion reaches the image sensor through the multi-wavelength coaxial aperture filter when the object is irradiated with light from a direction facing the surface, and conversion means for converting the image data obtained by the image data acquisition means into identification information.

[0010] In the identification information detection device according to an embodiment of the present invention, the conversion means is characterized in that it converts the image data of m rows and n columns obtained from each pixel of the image sensor into numerical values of m rows and n columns of pixels to obtain identification information.

[0011] In the identification information detection device according to an embodiment of the present invention, the conversion means is characterized in that it obtains width, depth, and height information corresponding to the width, depth, and height of the concavo-convex portion from the image data, and converts this width, depth, and height information into identification information.

[0012] In the identification information detection device according to an embodiment of the present invention, the conversion means is characterized in that it obtains line number information corresponding to the number of lines formed by the concavo-convex portion from the image data, and converts this line number information into identification information.

[0013] In the identification information detection device according to an embodiment of the present invention, the conversion means obtains width information of a line formed by the uneven portion from the image data, and converts this width information and the number information of the lines into identification information.

[0014] In the identification information detection device according to an embodiment of the present invention, the conversion means obtains position information of a line formed by the uneven portion from the image data, and converts this position information, the width information of the line, and the number information of the lines into identification information.

[0015] In the identification information detection device according to an embodiment of the present invention, the conversion means obtains color information of a line formed by the uneven portion from the image data, and converts this color information, the position information, the width information of the line, and the number information of the lines into identification information.

[0016] In the identification information detection device according to an embodiment of the present invention, the conversion means converts the image data into color-coded mark information to obtain identification information.

[0017] The identification information detection program according to an embodiment of the present invention includes an image sensor, a lens arranged so that light reflected by the surface when the surface having uneven portions serving as identification information is irradiated with light from a direction facing the surface of an object passes through the center, and a multi-wavelength coaxial aperture filter arranged between the lens and the image sensor. When the object is irradiated with light from a direction facing the surface, when the light diffusely reflected by the uneven portion reaches the image sensor through the multi-wavelength coaxial aperture filter, a computer provided in the identification information detection device that obtains image data based on a signal obtained from each pixel of the image sensor and detects identification information from this image data is caused to function as conversion means for converting the image data into identification information.

[0018] In the identification information detection program according to an embodiment of the present invention, the computer is used as the conversion means to function so as to convert the m-row n-column image data obtained from each pixel of the image sensor into identification information by converting it into numerical values of m rows and n columns of pixels.

[0019] In the identification information detection program according to an embodiment of the present invention, the computer is used as the conversion means to function so as to obtain width, depth, and height information corresponding to the width, depth, and height of the uneven portion from the image data, and convert this width, depth, and height information into identification information.

[0020] In the identification information detection program according to an embodiment of the present invention, the computer is used as the conversion means to function so as to obtain the number-of-lines information corresponding to the number of lines formed by the uneven portion from the image data, and convert this number-of-lines information into identification information.

[0021] In the identification information detection program according to an embodiment of the present invention, the computer is used as the conversion means to function so as to obtain the line width information of the lines formed by the uneven portion from the image data, and convert this width information and the number-of-lines information into identification information.

[0022] In the identification information detection program according to an embodiment of the present invention, the computer is used as the conversion means to function so as to obtain the line position information of the lines formed by the uneven portion from the image data, and convert this position information, the line width information, and the number-of-lines information into identification information.

[0023] In the identification information detection program according to an embodiment of the present invention, the computer is used as the conversion means to function so as to obtain the line color information of the lines formed by the uneven portion from the image data, and convert this color information, the position information, the line width information, and the number-of-lines information into identification information.

[0024] In the program for detecting identification information according to an embodiment of the present invention, the computer is made to function as the conversion means to convert the image data into color-coded mark information as identification information.

Brief Description of Drawings

[0025]

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Embodiments for Carrying Out the Invention

[0026] Hereinafter, an identification information detection device and an identification information detection program according to an embodiment of the present invention will be described with reference to the accompanying drawings. In each figure, the same reference numerals are given to the same components and redundant explanations are omitted. The inventors of the present application have made an invention of "OneShotBRDF optical inspection technology (imaging technology capable of instantaneously obtaining a clear image of minute defects)" described below (see Non-Patent Document 1), and have decided to apply this to the embodiments of the present invention.

[0027] The configuration and principle of OneShotBRDF (Bidirectional Reflectance Distribution Function) use a telecentric optical system as the optical system used for imaging. In the lens of the telecentric optical system, the same magnification is provided regardless of the distance or position of an object in the field of view. Since the impression of the spatial depth of the image is planar, objects at two different working distances appear to be the same size.

[0028] The structure of the OneShotBRDF optical system (optical system device) 100 is as shown in FIG. 1. That is, for example, the light emitted from the LED 11 is made into parallel light by the illumination lens 12, and is irradiated onto the plane of the object 14 from the front direction (the facing direction) by the beam splitter 13. The light reflected by the plane of the object 14 is imaged on the image sensor 16 through the imaging lens 15 passing through the center. A multi-wavelength coaxial aperture filter 17 is arranged on the focal plane between the imaging lens 15 and the image sensor 16.

[0029] The multi-wavelength coaxial aperture filter 17 is a filter colored in concentric circles, and separates the BRDF of the reflected light by color. With the above optical system device 100, the light (specularly reflected light) that comes straight into the illumination lens 12 from a flat part without defects passes through the color at the center of the multi-wavelength coaxial aperture filter 17. Also, when there are defective parts (concavo-convex parts 18), the light (scattered light) that enters the illumination lens 12 at an angle passes through the color on the outside of the multi-wavelength coaxial aperture filter 17, and can be imaged as an image in which the defective parts are colored. The state of coloring from the light incident side of the multi-wavelength coaxial aperture filter 17 to the image sensor 16 in this case is shown in FIG. 2.

[0030] The identification information detection device according to the embodiment of the present invention can be configured using a computer as shown in FIG. 3. That is, the CPU 20 configures the identification information detection device using the programs and data in the main memory 21. An external memory interface 23, an input interface 24, a display interface 25, and a data input interface 26 are connected to the CPU 20 via a bus 22.

[0031] An external memory interface 23 is connected to an external memory device 33. The external memory device 33 stores programs and data for the operation of this identification information detection device, and these can be appropriately read out by the CPU 20 to the main memory 21 for use. Therefore, as shown in FIG. 4, the external memory device 33 stores a program for realizing the image data acquisition means 3 and the conversion means 4. An input interface 24 is connected to an input device 34 such as a keyboard or a touch panel and a pointing device 32 such as a mouse. A display interface 25 is connected to a display device 35 having a screen such as an LCD. An image sensor 16 of the optical system device 100 is connected to a data input interface 26, and signals obtained from each pixel of the image sensor 16 are digitized and captured at the data input interface 26. The CPU 20 captures the digital signal obtained by the data input interface 26 and performs a process of detecting identification information.

[0032] In this embodiment, the image data acquisition means 3 and the conversion means 4 provided in the external memory device 33 have the following functions. That is, when the image data acquisition means 3 irradiates light from a direction facing the surface of the object 14 having the surface on which the concavo-convex portion 18 serving as the identification information is formed, and the light diffusely reflected by the concavo-convex portion 18 reaches the image sensor 16 through the multi-wavelength coaxial aperture filter 17, image data is obtained based on the signals obtained from each pixel of the image sensor 16.

[0033] For example, assume that the image sensor 16 has a photoelectric conversion element (pixel) of m (positive integer) rows and n (positive integer) columns, and color signal values (for example, voltage) corresponding to the m-row n-column pixels are output as its output as shown in FIG. 5. Correspondingly, the image data acquisition means 3 converts the color signal values into image data of a required gradation. Here, the image data can be expressed in L (positive integer) gradations corresponding to wavelengths from blue to red, and the L gradations can be represented by k bits.

[0034] The conversion means 4 converts the image data obtained by the image data acquisition means 3 into identification information. For example, the conversion means 4 converts the m×n image data obtained from each pixel of the image sensor 16 into numerical values of the m×n pixels as the identification information. That is, all the numerical values of the m×n pixels representing L gradations with k bits are used as one piece of identification information. In this embodiment, the identification information is basically numbers, characters, etc., but may also be a mark by an image or the like.

[0035] The conversion means 4 is configured in consideration of the following features and characteristics of the optical system device 100. As a feature of the optical system device 100, the light irradiated to the object changes the scattering angle of the scattered light (BRDF) according to the depth height of the uneven portion 18 attached to the object, and the scattering light angle can be represented by mathematical parameters with respect to the depth and height directions of the unevenness. The scattered light generated at the uneven portion 18 is condensed by the imaging lens 15 through an optical mechanism, color-separated by the multi-wavelength coaxial aperture filter 17 which is a feature of OneShotBRDF, reaches the image sensor 16, and is imaged. FIG. 6 shows an example of the relationship between the incident light on the surface of the object 14 and the color of the scattered light generated at the uneven portion 18. A change occurs in the scattering angle according to the height and depth of the uneven portion 18 attached to the object 14.

[0036] At that time, the scattered light to be imaged can artificially change the color arranged in the multi-wavelength coaxial aperture filter 17 according to the height and depth of the uneven portion 18, and adjust the m×n image data obtained from each pixel of the image sensor 16. That is, by using the multi-wavelength coaxial aperture filter 17 having a predetermined color arrangement, the m×n image data obtained by imaging the scattered light generated at the uneven portions 18 having the same height and depth becomes the same image data, and the identification information obtained by converting this image data becomes the same identification information. Therefore, the conversion means 4 of the first embodiment obtains the depth / height information corresponding to the depth / height of the uneven portion 18 from the image data, and converts this depth / height information into identification information as the identification information.

[0037] By uniquely designing the color arrangement of the multi-wavelength coaxial aperture filter 17, the light scattered at a scattering angle corresponding to the height and depth of the uneven portion 18 can be imaged as an image with a predetermined color arrangement. Fig. 7 shows a plan view of the multi-wavelength coaxial aperture filter 17 with a uniquely designed color arrangement. In this multi-wavelength coaxial aperture filter 17, the center is red, the outside of red is blue, the outside of blue is green, and the outside of green is yellow. Note that there is a pink color between red and blue, and a light blue color between blue and green.

[0038] Next, the relationship between the height and depth of the uneven portion 18 and the identification information will be considered. As shown in Figs. 8(a), 8(b), and 8(c), assume that there are objects with different heights and depths of the uneven portion 18. When light is irradiated onto the uneven portion 18 in Figs. 8(a), 8(b), and 8(c) from above, reflected light is generated, and the scattering angle at this time becomes a unique angle corresponding to the height and depth of the uneven portion 18. The uneven portion 18 has a unique scattering angle and scattering range corresponding to the width, depth, and height of the uneven portion 18, including the case where the uneven portion 18 is a U-shaped groove having a width d as shown in Fig. 8(d). It can be understood that predetermined image data can be obtained by the uneven portion 18 having a predetermined width, depth, and height. Therefore, the conversion means 4 of the second embodiment obtains width, depth, and height information corresponding to the width, depth, and height of the uneven portion 18 from the image data, and converts this width, depth, and height information into identification information to be the identification information.

[0039] For example, using an object with uneven portions 18 having various widths, depths, and heights as identification information, image data (for example, numerical values of m rows and n columns of pixels representing L gradations in k bits) is obtained, and a table is created in which corresponding identification information (such as a character string) is assigned and stored in the external storage device 33. When detecting the identification information, image data is obtained from the uneven portion 18 of the object by the image data acquisition means 3, and conversion is performed using the table by the conversion means 4 to obtain the identification information.

[0040] Next, in addition to the height and depth of the uneven portion 18, the relationship between the color of the multi-wavelength coaxial aperture filter 17 through which light passes and the identification information will be considered. As shown in FIGS. 9(a), 9(b), and 9(c), assume that there are objects with different heights and depths of the uneven portion 18. Similar to the case of FIG. 8, also in FIG. 9, when light is irradiated onto the uneven portion 18 from above, reflected light is generated, and the scattering angle at this time becomes a unique angle according to the height and depth of the uneven portion 18. In FIGS. 9(a), 9(b), and 9(c), due to the different scattering angles, it enters different positions of the multi-wavelength coaxial aperture filter 17, and as a result, it is colored with different colors and reaches the image sensor 16 for imaging. Thus, it becomes possible to obtain image data with different colors due to the different depths and heights of the uneven portion 18. Therefore, the conversion means 4 of the third embodiment obtains the width, depth, height, and color information corresponding to the width, depth, and height of the uneven portion 18 from the image data, and converts this width, depth, height, and color information into identification information to be the identification information.

[0041] For example, for an object in which the uneven portion 18 having various widths, depths, and heights is formed as the identification information, image data (for example, the numerical values of m rows and n columns of pixels representing L gradations including color with k bits) is obtained using the multi-wavelength coaxial aperture filter 17 with a predetermined color arrangement, and a table is created in which the corresponding identification information (such as a character string) is assigned and stored in the external storage device 33. When detecting the identification information, image data is obtained from the uneven portion 18 of the object by the image data acquisition means 3, and conversion is performed using the table by the conversion means 4 to obtain the identification information.

[0042] Next, consider the case where the uneven portion 18 is composed of a plurality of parallel linear scratches. Consider the case where the uneven portion 18 is composed of a plurality of parallel linear scratches 19A, 19B, and 19C as shown in FIG. 10. Assume that these scratches 19A, 19B, and 19C have different depths and heights and are as shown in the plan view of FIG. 11. The image formed by such an uneven portion 18 will be lines of red, blue, and green as shown in FIG. 12. In this case, as image data, for example, obtain the numerical values of pixels in an m×n matrix that represent L gradations including color with k bits. That is, in this fourth embodiment, the color information of red, blue, and green and the position information of these lines are numerical values representing L gradations with k bits. The conversion means 4 obtains this numerical value and converts this color information and position information into identification information. That is, when there is a line segment arranged in the order of red, blue, and green at a predetermined position, assign the numerical value "1" to red, the numerical value "2" to blue, and the numerical value "3" to green. Since the position information of the lines is red→blue→green, arrange the numerical values in the order of the position information and convert them into the identification information 123. Also, when there is a line segment arranged in the order of red, green, and blue at a predetermined position, the conversion means 4 for this image data converts it into the identification information 132 according to the same rule as above. Also in the case of this fourth embodiment, it is possible to obtain image data in advance, create a table to which corresponding identification information is assigned, store it in the external storage device 33, and perform conversion using this. In this case, the position information may be obtained by counting the number of pixels from the position information start position shown in FIG. 12, or may be obtained by counting the number of pixels upward and rightward from the point O in FIG. 12 as (x, y) coordinates.

[0043] As shown in FIG. 13, the widths of the scratches 19A, 19B, and 19C may be made different to give variations to the identification information. The image formed by such an uneven portion 18 will be lines of red, blue, and green with different widths as shown in FIG. 14. In this case, as described with reference to FIGS. 11 and 12, create width information by counting the number of pixels, and perform conversion so as to give different identification information to line segments arranged in the order of red, green, and blue with different numbers of pixels in width even if they are line segments arranged in the order of red, green, and blue.

[0044] Also, in the pixel data composed of the numerical values of m rows and n columns of pixels representing L gradations with k bits, the conversion means 4 according to the fifth embodiment can be configured to capture a linear set of pixels represented by values of the same degree within the upper and lower limits as a line. This conversion means 4 obtains line number information corresponding to the number of lines in the uneven portion from the image data, and converts this line number information into identification information to obtain the identification information. In this case, even if the lines are composed of different colors, it is assumed that they are still one line.

[0045] Also, in addition to the configuration in which the conversion means 4 according to the sixth embodiment captures a linear set of pixels represented by values of the same degree within the upper and lower limits as a line in the pixel data composed of the numerical values of m rows and n columns of pixels representing L gradations with k bits, it can be configured to obtain line width information of the lines due to the uneven portion from the image data. Thereby, the conversion means 4 obtains the line width information of the lines due to the uneven portion from the image data, and converts this width information and the line number information into identification information to obtain the identification information. That is, the identification information is information such as how many lines have a width of F1, how many lines have a width of F2, how many lines have a width of F3, and so on.

[0046] Next, in the seventh embodiment, in addition to the configuration of the sixth embodiment, the conversion means 4 can be configured to obtain the position information of the lines due to the uneven portion from the image data, and convert this position information, the line width information, and the line number information into identification information to obtain the identification information. That is, the identification information is information such as how many lines with a width of F1 are the first and fourth from the top, how many lines with a width of F2 are the second and fifth from the top, how many lines with a width of F3 are the third and sixth from the top, and so on. Furthermore, the color information of the lines may be combined with this to obtain the identification information.

[0047] Next, in this eighth embodiment, the conversion means 4 converts the image data obtained by the image data acquisition means 3 into color-coded mark information as identification information. For example, as shown in FIG. 15, it is assumed that a mark M with colored circles superimposed thereon is attached to an object at the uneven portion 18 imaged by the image sensor 16. This mark M has a pink outermost layer, a blue inner layer, a green inner layer, and a red center, and is an uneven portion 18 in which the respective positions and the radii of the circles are determined in advance.

[0048] Even in this case, from the signal obtained by the image sensor 16, the image data acquisition means 3 obtains, for example, numerical values of pixels of m rows and n columns in which the L gradation is represented by k bits as image data. The conversion means 4 converts the pixels of m rows and n columns in which the L gradation is represented by k bits back into the mark M (image) shown in FIG. 15. The conversion means 4 has a table for converting data of L gradations of k bits into color pixels, and performs the conversion using this table.

[0049] As described above, according to this embodiment, images different depending on the scattering angle are obtained, and these are captured by the image sensor as identification information, so that the uneven portion can be detected as identification information with high precision of several μm as the resolution. Therefore, it becomes possible to recognize a mark by an uneven portion that cannot be discriminated by humans. In this case, the specific color scheme and the size of the central diameter of the multi-wavelength coaxial aperture filter become the key for detecting the identification information, and it becomes possible to accurately detect unique identification information.

[0050] Therefore, the invention of this embodiment can be used for inspections such as authenticity determination. For example, by previously providing uneven portions of required height and depth to an inspection object that requires authenticity determination, and imaging the object through a multi-wavelength coaxial aperture filter having a specific color scheme with an image sensor to obtain identification information, the same identification information cannot be obtained unless an object with uneven portions of the same height and depth is imaged, and authenticity determination becomes possible.

Explanation of Signs

[0051] 3 Image data acquisition means 4 Conversion means 11 LED 12 Illumination lens 13 Beam splitter 14 Object 15 Imaging lens 16 Image sensor 17 Multi-wavelength coaxial aperture filter 18 Concave-convex part 19A, 19B, 19C Scratches 20 CPU 21 Main memory 22 Bus 23 External memory interface 24 Input interface 25 Display interface 26 Data input interface 32 Pointing device 33 External memory device 34 Input device 35 Display device 100 Optical system device

Claims

1. An image sensor, a lens arranged such that light reflected by the surface passes through the center when the surface of an object having a surface on which uneven portions serving as identification information are formed is irradiated with light from a direction facing the surface, a multi-wavelength coaxial aperture filter arranged between the lens and the image sensor, image data acquisition means for obtaining image data based on signals obtained from each pixel of the image sensor when light diffusely reflected by the uneven portions reaches the image sensor through the multi-wavelength coaxial aperture filter when the object is irradiated with light from a direction facing the surface, conversion means for converting the image data obtained by the image data acquisition means into identification information, An identification information detection device comprising the above.

2. The identification information detection device according to claim 1, wherein the conversion means converts the m×n image data obtained from each pixel of the image sensor into numerical values of m×n pixels to obtain identification information.

3. The identification information detection device according to claim 1, wherein the conversion means obtains width / depth / height information corresponding to the width / depth / height of the uneven portions from the image data, and converts this width / depth / height information into identification information.

4. The identification information detection device according to claim 1, wherein the conversion means obtains line number information corresponding to the number of lines formed by the uneven portions from the image data, and converts this line number information into identification information.

5. The identification information detection device according to claim 4, wherein the conversion means obtains line width information of the lines formed by the uneven portions from the image data, and converts this width information and the line number information into identification information.

6. The identification information detection device according to claim 5, wherein the conversion means obtains line position information of the lines formed by the uneven portions from the image data, and converts this position information, the line width information, and the line number information into identification information.

7. The identification information detection device according to claim 6, wherein the conversion means obtains line color information of the lines formed by the uneven portions from the image data, and converts this color information, the position information, the line width information, and the line number information into identification information.

8. The identification information detection device according to claim 1, wherein the conversion means converts the image data into colored mark information to obtain identification information.

9. An image sensor, When irradiating light from a direction facing the surface of an object having a surface formed with uneven portions serving as identification information, a lens arranged so that the light reflected by the surface passes through the center, A multi-wavelength coaxial aperture filter disposed between the lens and the image sensor, Comprising: When irradiating light from a direction facing the surface to the object, when the light diffusely reflected by the uneven portions reaches the image sensor through the multi-wavelength coaxial aperture filter, image data is obtained based on the signals obtained from each pixel of the image sensor, and a computer provided in an identification information detection device that detects identification information from this image data, An identification information detection program, characterized in that the computer functions as conversion means for converting image data into identification information.

10. The identification information detection program according to claim 9, characterized in that the computer functions as the conversion means to convert the m-row n-column image data obtained from each pixel of the image sensor into numerical values of m-row n-column pixels to obtain identification information.

11. The identification information detection program according to claim 9, characterized in that the computer functions as the conversion means to obtain width / depth / height information corresponding to the width / depth / height of the uneven portions from the image data, and convert this width / depth / height information into identification information to obtain identification information.

12. The identification information detection program according to claim 9, characterized in that the computer functions as the conversion means to obtain line number information corresponding to the number of lines formed by the uneven portions from the image data, and convert this line number information into identification information to obtain identification information.

13. The identification information detection program according to claim 12, characterized in that the computer functions as the conversion means to obtain line width information of the lines formed by the uneven portions from the image data, and convert this width information and the line number information into identification information to obtain identification information.

14. The identification information detection program according to claim 13, characterized in that the computer functions as the conversion means to obtain line position information of the lines formed by the uneven portions from the image data, and convert this position information, the line width information, and the line number information into identification information to obtain identification information.

15. The identification information detection program according to claim 14, wherein the computer functions as the conversion means to obtain color information of a line formed by the uneven portions from the image data, and converts the color information, position information, line width information, and number of lines information into identification information.

16. The identification information detection program according to claim 9, wherein the computer functions as the conversion means to convert the image data into color-coded mark information as identification information.

Images