JP2008134738A - Information processing system and information processing program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information processing system and an information processing program, capable of detecting the movement history of a reading part for reading an object on the object without forming a position detecting pattern or image on a surface of the object. <P>SOLUTION: A read image having a size of, for example, 64×64 dots (about 4 mm×about 4 mm), obtained by reading a surface of a collating paper by a sensor is fetched (150), data within a comparison area having an origin position as one corner is extracted from registration image data (152 and 154), and comparison processing thereof is performed (156). Whether collation by the comparison is established or not is determined depending on whether the normalized score is not less than a threshold or not with a maximum value of correlation value being a threshold or more (158), and when the establishment is denied, the comparison area is updated (160). <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an information processing system and an information processing program.

  A technique for detecting a position by forming a pattern representing a position on paper and reading the pattern with a sensor provided on a pen is known (see Patent Document 1). By using this technique, it is possible to detect the movement history of the pen tip on the paper.

The pen with the built-in camera is moved on the paper on which the image is drawn, the pen tip image is read by the camera, the pen tip position is estimated based on the read image, and the most likely pen A technique for determining a movement route is known (see Patent Document 2 and Patent Document 3).
JP 2003-511661 A JP 2004-152272 A JP 2004-152273 A

  However, the techniques described in Patent Documents 1 to 3 have a problem that it is necessary to form a pattern or an image on the surface of an object whose position is to be detected.

  The present invention has been made to solve the above problem, and detects the movement history on the object of the reading unit that reads the object without forming a pattern or image for position detection on the surface of the object. An object is to obtain an information processing system and an information processing program.

  In order to achieve the above-mentioned object, the invention according to claim 1 is characterized in that a part of the surface is set as a reading area in the reading area along with the movement along the surface of the object on which the unique characteristic having randomness is distributed. Portable reading means for reading the distributed unique features, feature data indicating the unique features distributed on the surface of the object, and feature storage means for storing positions corresponding to the feature data; read by the reading means Detection means for detecting the position of the reading area based on a comparison result between the reading data indicating the unique characteristic of the reading area and the characteristic data stored in the storage means; and the detection means And an information processing apparatus provided with a movement history recording means for recording a movement history of the selected position.

  Read data storage means for storing read data indicating unique features of the reading area read by the reading means as the reading means moves along the surface of the object in the information processing apparatus, and the read data storage Reading means for reading out the read data stored by the means, and the detecting means includes read data indicating the unique characteristics of the reading area read by the reading means, and feature data stored in the storage means The position of the reading area may be detected based on the comparison result.

  The object can be composed of a piece of paper.

  The reading unit can read the reading area by receiving transmitted light or reflected light of the light irradiated on the surface of the object.

  The detection means is a feature that is distributed in a part of the area on the surface of the object extracted from the read data indicating the unique characteristics of the reading area read by the reading means and the characteristic data stored in the storage means. A determination means for determining whether or not a correlation value with the comparison data representing is greater than or equal to a predetermined value, and the position of the reading area based on the comparison data determined by the determination means to be greater than or equal to the predetermined value It can be configured to include a specifying means for specifying.

  The determination unit moves the partial area by a predetermined pixel pitch until the correlation value between the read data and the comparison data becomes equal to or greater than a predetermined value, and the specifying unit determines that the correlation value between the read data and the comparison data is a predetermined value. When this is the case, the position of the reading area with reference to the reference position can be specified from the product of the number of pixels from a predetermined reference position to the partial area and the length of one pixel. .

  The predetermined pixel pitch may be equal to or smaller than a pixel corresponding to the width in the moving direction of the partial area.

  According to an eighth aspect of the present invention, there is provided a storage step of storing in advance feature data indicating a unique feature having randomness distributed in a region on the surface of the object and a position corresponding to the feature data, and the surface of the object. A reading step for reading a unique characteristic distributed in the reading area with a part of the surface as a reading area as it moves along, reading data indicating the unique characteristic of the read area, and the pre-stored For causing a computer to execute processing including a detection step of detecting a position of the reading region based on a comparison result with the feature data being recorded, and a recording step of recording a movement history of the detected position An information processing program.

  As described above, according to the present invention, since an object having a unique characteristic with randomness is used, the object can be detected without forming a position detection pattern or image on the surface of the object. The effect that the movement history on the target object of the reading unit for reading the object can be detected is obtained.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  As shown in FIG. 1, the information processing system 10 according to the present embodiment draws a sensor on a surface of a verification sheet 12 that is a target and can read a partial area on the surface of the verification sheet 12. The movement history of the pen 14 on the collation sheet 12 is detected based on the read image data read by the pen 14 serving as the reading means and the sensor (illustrated in FIG. 2) provided on the pen 14. And a personal computer (PC) 16 which is an information processing apparatus provided with a storage device for recording.

  As shown in FIG. 2, the pen 14 includes a sensor 18 that reads an area where the verification paper 12 is drawn. The sensor 18 reads a partial area on the surface of the verification paper 12. The reading method of the sensor 18 is a reflected light reading type. The sensor 18 receives a light emitting element 18A that irradiates the collation paper 12 with light, and light that is emitted from the light emitting element 18A and reflected by the collation paper 12; Randomness of the entanglement of the fibrous material, which is composed of an image sensor 18B composed of a CCD or the like in which a large number of light receiving elements that output signals according to the amount of received light are arranged. Thus, a random change in the light reflectance distributed along the surface of the collation sheet 12 is converted into a predetermined resolution (for example, 400 dpi) and a predetermined gradation (for example, 8-bit gray scale), for example, 64 × 64 dots (about 4 mm × about 4 mm) area is read.

  FIG. 3 shows a scanner 20 that can be connected to the PC 16. The scanner 20 is of a flat bed type, and the collation sheet 12 placed on a document table (not shown) has the same resolution (for example, 400 dpi) and the same gradation (for example, 8-bit gray scale) as the sensor 18 described above. It has a function to read in. The scanner 20 is connected to an input / output port (illustrated in FIG. 5) of the PC 16, and reading of the verification sheet 12 by the scanner 20 is controlled by the PC 16 and registration obtained by the scanner 20 reading the verification sheet 12. The read image data of the image is input to the PC 16, and the registered image data in which the feature data representing the unique feature having randomness distributed on the surface of the collation sheet 12 and the data indicating the position of the feature are associated with each other is stored in the PC 16. The RAM 26 is stored as data used for specifying the position of the reading area read by the sensor 18. The origin position is determined at the corner of the pixel corresponding to this feature data.

  Next, the main part of the PC 16 will be described with reference to FIG.

  As shown in FIG. 4, the PC 16 includes a display 22 that displays various information and a PC main body 24. A reading device 28 for mounting the storage medium 26 is provided on the front side of the PC main body 24.

  Here, the function of specifying the position of the reading area read by the sensor 18 can be realized by a program 30 that can be executed in the PC 16.

  The program 30 and data used by the program 30 can be stored in the storage medium 26 that can be read by the PC 16 in advance, and an HDD (Hard Disk Drive) 48 and a ROM (Read Only Memory) to be described later in the PC 16. 34 may be stored in advance.

  The storage medium 26 causes a change state of energy such as magnetism, light, electricity, etc. to the reading device 28 provided in the hardware resource of the PC 16 according to the description content of the program, and a signal corresponding thereto. The contents of the program description can be transmitted to the reading device 28 in a format.

  Examples of such a storage medium 26 include a magneto-optical disk 26A, an optical disk 26B, a magnetic disk 26C, and a memory 26D that can be mounted on the PC main body 24. An example of the memory 26D includes an IC card and a memory card. These storage media 26 may be either a portable type or a non-portable type.

  The reading device 28 includes a magneto-optical disk device 28A for reading various data stored on the magneto-optical disk 26A, an optical disk device 28B for reading various data stored on the optical disk 26B, and a magnetic disk 26C. There is a magnetic disk device 28C for reading various data stored in the disk.

  As shown in FIG. 5, the PC 16 includes a CPU (Central Processing Unit) 32, a ROM 34, and a RAM (Random Access Memory) 36. The CPU 32, the ROM 34, and the RAM 36 are connected to each other through a host bus 38 including a CPU bus so that signals can be exchanged.

  The CPU 32 executes processing according to the program 30. The ROM 34 stores programs used by the CPU 32, calculation parameters, a program 30, and the like.

  The RAM 34 stores a program used in the execution of the CPU 30, parameters that change as appropriate during the execution, registered image data of a registered image obtained by the scanner 20, and read image data read by the sensor 18. Further, the RAM 34 stores a correlation value between comparison data and read data calculated by a normalized correlation method in a comparison processing routine described later, and a position of the matching sheet 12 corresponding to the comparison data. Further, the RAM 34 stores a movement history of the pen 14 obtained by a processing routine described later.

  The host bus 38 is connected to an external bus 42 such as a PCI (Peripheral Component Interconnect / Interface) bus through the bridge 40 so as to exchange data and signals.

  The PC 16 is provided with a keyboard 44, a pointing device 46 such as a mouse, a display 22, an HDD 48, a reading device 28, an input / output port 50, a communication unit 52, and a data output unit 54.

  These keyboard 44, pointing device 46 such as a mouse, display 22, HDD 48 for storing various data, reading device 28, input / output port 50, communication unit 52, and data output unit 54 are an interface 56, external bus 42. The CPU 32 is connected to the CPU 32 through the bridge 40 and the host bus 38 so as to be able to send and receive signals.

  The keyboard 44 and the pointing device 46 are input devices operated by an operator. The display 22 includes a liquid crystal display device or a CRT (Cathode Ray Tube), and is a device that displays various types of information as text or image information.

  The storage medium 26 is attached to the reading device 28, whereby various data such as the stored program 30 is read by the reading device 28. Under the control of the CPU 32, the reading device 28 reads the program 30 and various data stored in the attached storage medium 26. The program and data of the movement history detection routine read by the reading device 28 are stored in the RAM 36 through the interface 56, the external bus 42, the bridge 40, and the host bus 38 under the control of the CPU 32.

  The input / output port 50 is a port for connecting an external connection device 58 connected to the PC 16, and has a connection unit such as USB, IEEE1394. The externally connected device 58 in the present embodiment is the pen 14 provided with the sensor 18 and the scanner 20. The communication unit 52 is a device for exchanging data and signals with an external device via a wired communication network or a wireless communication network (not shown).

  The data output unit 54 is an output device for outputting various data, and can be a printer, for example.

  In such a PC 16, when the storage medium 26 is attached to the reading device 28, the CPU 32 reads the program 30 stored in the storage medium 26 and stores it in the RAM 36. When the program 30 is stored in the HDD 48 or the ROM 34, the CPU 30 reads out the program 30 stored in the HDD 48 or the ROM 34 and stores it in the RAM 36.

  In the CPU 32, the program of the movement history detection routine of the program 30 stored in the RAM 36 is executed. When this program 30 is executed by the CPU 32, a storage routine shown in FIG. 6 and a movement history recording routine shown in FIG.

  Next, the read image storage routine will be described with reference to the flowchart of FIG.

  In step 100, the sensor 18 is caused to read an image at the position of the tip of the pen 14 in the verification sheet 12.

  In step 102, an analog signal of a predetermined size (for example, 64 × 64 dots (4 mm × 4 mm)) read by the sensor 18 at a predetermined resolution (for example, 400 dpi) is converted into a digital signal by an analog / digital converter (not shown). To obtain read data of a predetermined gradation (for example, 8-bit gray scale).

  In step 104, the read data obtained in step 102 is recorded in the RAM 26 of the PC 16.

  In step 106, it is determined whether or not the drawing on the verification sheet 12 by the pen 14 has been completed.

  Thereby, time-series data of the image read by the sensor 18 provided on the pen 14 moving on the collation sheet 12 is obtained.

  Next, the movement history recording routine will be described with reference to the flowchart of FIG.

  In step 150, the sensor 18 captures a read image having a size of, for example, 64 × 64 dots (about 4 mm × about 4 mm) obtained by reading the surface of the collation paper 12.

  In step 152, one corner of the comparison area is matched with the origin O position of the registered image.

  In step 154, data in the comparison region in which one corner as shown in FIG. 8 coincides with the origin O position is extracted from the registered image data as comparison data.

  FIG. 9A shows an image obtained by visualizing a part of the comparison data of the feature data of the registered image (correcting the contrast so that visual confirmation is easy).

  Since it is impossible to control the entanglement of the fibrous material forming the verification paper 12 at the time of manufacture, the entanglement of the fibrous material forming the verification paper 12 can be regarded as random. The entanglement of the fibrous material forming the verification paper 12 can be observed using a transmission light microscope. On the other hand, in the “comparison image (an image obtained by visualizing a part of comparison data of the feature data of the registered image)” shown in FIG. 9A, the entanglement of the fiber material cannot be confirmed, but the entanglement of the fiber material. Random light and dark patterns that reflect random changes in the transparency of the paper (which may also be affected by unevenness of the paper surface caused by various conditions when rolling the paper) due to the randomness of the condition. Therefore, the comparison data corresponding to the “comparison image” is information indicating a unique feature in the comparison area on the verification sheet 12, that is, information indicating a random change in the transparency in the comparison area on the verification sheet 12. I can confirm.

  FIG. 9B shows an image obtained by visualizing the read data of the reading area read by the sensor 18 used for position detection. This read data represents a random change in the transparency of the verification sheet 12 in the reading area.

  In step 156, a comparison process is performed. Hereinafter, the comparison process will be described with reference to the flowchart of FIG.

  In the comparison processing according to the present embodiment, data corresponding to an area (calculation target area) having the same size as the comparison area is extracted from the data of the read image of the reading area (shown in FIG. 9B as an example), and the data The calculation of the correlation value with the comparison data of the comparison image (shown in FIG. 9A as an example) is repeated while moving the position of the calculation target region. Therefore, in the next step 220, the data extraction position (the position of the calculation target area) in the reading area is initialized.

  In step 172, data of the same size as the comparison area located at the set data extraction position (calculation target data) is extracted from the data of the reading area. In step 174, the correlation value between the comparison data and the calculation target data extracted in step 172 is calculated by the normalized correlation method according to the following equation (1), and the correlation value obtained by the calculation is stored in a RAM or the like. .

Where F is a comparison image (a set of comparison data), fi is a brightness value of each pixel of the comparison image, N is the total number of pixels of the comparison image (and a partial region of the read image), and G is a partial region of the read image ( ), Gi is the lightness value of each pixel in the partial area of the read image, f _AVE is the average value of the lightness values of the individual pixels in the comparison image, and g _AVE is the lightness value of each pixel in the partial area of the read image Is the average value.

  In the next step 176, it is determined whether or not the calculation target area has scanned the entire reading area. If the determination is negative, the process proceeds to step 178, the calculation target data extraction area is moved vertically or horizontally by 1 dot, and then the process returns to step 222. Thereby, steps 172 to 178 are repeated until the determination in step 176 is affirmed. In this embodiment, since the comparison area is 32 × 32 dots and the reading area is 64 × 64 dots, the correlation value is calculated as (64−32 + 1) × (64−32 + 1) = 1089 times, and 1089 The correlation value is obtained.

When the calculation of the correlation value is completed, the determination in step 176 is affirmed and the process proceeds to step 180, and the maximum value is extracted from the large number of correlation values obtained by the above calculation. In the next step 182, after calculating the standard deviation and average value of a large number of correlation values, the calculated standard deviation / average value and the maximum value of the correlation value obtained in step 180 are expressed by the following equation (2). By substituting each, the normalized score of the maximum correlation value is calculated.
Normalized score = (maximum correlation value-average correlation value) / standard deviation of correlation value (2)
In general, as the size of the comparison region (specifically, the region for which the correlation value is calculated) increases, the accuracy of the match determination improves. In this embodiment, the size of the comparison area at a reading resolution of 400 dpi is 32 × 32 dots (about 2 mm × about 2 mm). It has been found from experimental results that if the comparison area is made smaller than the size, the accuracy of judgment of coincidence decreases. Even if the comparison area is made larger than the size, the degree of accuracy improvement is small. Therefore, it is not necessary to use an expensive and troublesome microscope for reading, and it is practical to use a reading device (such as an inexpensive commercially available scanner) capable of reading at a resolution of about 400 dpi.

  Further, when the comparison area is read, if the output signal of the image sensor 18B is saturated due to an excessive amount of light incident on the image sensor 18B, the transparency of the comparison area represented by the comparison data obtained by the reading is reduced. Since comparison data that accurately represents a change in transparency in the comparison area cannot be obtained, such as when the change is partially whitened, it is desirable to moderate the exposure when reading the comparison area.

  Next, in step 158, which is a determination means, whether or not collation by comparison is established depending on whether or not the maximum correlation value obtained in step 180 is equal to or greater than a threshold value and whether the normalized score calculated in step 182 is equal to or greater than a threshold value. Determine whether or not. If the result is negative, the process proceeds to step 210, and the comparison area is updated. As shown in FIG. 11A, the comparison area moves by a predetermined movement width in a direction away from the origin. The predetermined movement width is desirably one dot width.

  The predetermined movement width is half the width of the comparison area (16 dots (about 1 mm)) until the maximum correlation value is equal to or greater than the predetermined value and the normalized score is equal to or greater than the predetermined value. As the maximum value of correlation values and the normalized score increase, the width may be narrowed.

  Next, the process proceeds to step 154. For example, data in the comparison area indicated by the shaded area in FIG. 11A with one corner coincided with the position (0, 1) is extracted from the registered image data as comparison data. To do.

  In step 156, a comparison with the updated comparison area is performed.

  The processing in steps 160, 154, and 156 is performed until the determination in step 158 is affirmed. For example, when the comparison area is moved 12 dots away from the origin O, it is shown as a shaded area in FIG.

  On the other hand, if the determination in step 158 is affirmative, the process proceeds to steps 162 and 164. In step 162 as identification means, the position of the collation sheet 12 read by the sensor 18 is identified based on the comparison area, and in step 164, the position of the identified collation sheet 12 is stored in the RAM 26.

  In step 166, it is determined whether all positions of the time-series data of the image read by the sensor 18 have been specified.

  The position of the sensor 18 may be obtained by calculating the product of the number of movements of the comparison area in each direction away from the origin O and the predetermined movement width until the correlation value becomes equal to or greater than a predetermined value.

  As described above, in the present embodiment, by determining whether or not the correlation value between the read data indicating the unique characteristics of the reading area read by the sensor 18 and the comparison data is equal to or greater than a predetermined value, Since the position of the sensor 18 is specified, it is possible to specify the exact position of the reading area where the verification sheet 12 has been read even if the pattern for specifying the position is not formed on the verification sheet 12.

  In the above description, the sensor 18 is provided in the pen 14 and the collation sheet 12 is read. However, the reading unit is not limited to the pen 14 as long as it has a portable shape.

  Further, in the above, a function for storing unique features distributed along the surface of the collation sheet 12, a function for determining whether or not the correlation value between the read data and the comparison data is equal to or greater than a predetermined value, and a read area The function of specifying the position of the camera and the function of recording the movement history are configured to be mounted on the PC 16, but a part or all of the functions may be mounted on the pen 14 which is a portable object.

  Further, in the above description, the target object is the collation paper 12, and a random change in the light reflectance distributed along the surface of the collation paper 12 is read. However, the target object has randomness and is unique. Any material can be used as long as it can read the above-described features, and is not limited to paper.

  In the above description, the sensor 18 is a reflected light reading type, but may be a transmitted light reading type. In this case, the verification sheet 12 is a transparent member.

  Moreover, although the example which memorize | stores registration image data in RAM26 of PC16 was demonstrated above, it is not limited to this, You may memorize | store registration image data in the database connected via the network.

  In the above example, the time series data of the image read by the sensor 18 provided on the pen 14 moving on the collation paper 12 is temporarily recorded in the RAM 26 of the PC 16, but the pen 14 moving on the collation paper 12 is shown. Each time the provided sensor 18 reads an image, the position of the verification paper 12 read by the sensor 18 may be specified.

  In the above description, the movement history is recorded by specifying the absolute position of the image read by the sensor 18 provided on the pen 14 that moves on the collating paper 12, but the position read first by the sensor 18 is used as a reference. The movement history may be recorded by specifying the relative position.

  In the above description, the comparison area and the reading area have been described as having a rectangular shape (specifically, a square shape). However, the present invention is not limited to this, and the rectangular area, trapezoidal shape, triangular shape, circular shape, elliptical shape, linear shape (for example, Any shape such as a very flat rectangular shape having a width of 1 to several dots can be employed. However, even if the shape of the region is complicated, it does not contribute to improving the accuracy of the authenticity determination. Therefore, unless there are special circumstances, it is desirable that the shapes of the comparison region and the reading region are simple rectangles or circles.

  When the comparison area and the reading area are circular, if the center of the reading area can be overlapped with the center of the comparison area by some method, the same processing as in the case of the rectangular shape can be performed by converting to the polar coordinate format. However, in general, a reading device such as a scanner has a structure in which a line sensor and a document are relatively moved in a sub-scanning direction (a direction orthogonal to the sensor arrangement of the line sensor) to perform two-dimensional reading, and data is output from the reading device. Since the order is also an order suitable for taking in the data of the rectangular area, there is little merit of making the comparison area and the reading area both circular, and the process of superimposing the centers of both areas is not a simple process. Practically, it is appropriate that the comparison area and the reading area are rectangular.

  Further, when the characteristic having the randomness of the collation sheet 12 as an object is a characteristic accompanied by a color change, it is effective to separate and read the characteristic into a plurality of color components when optically reading the characteristic. However, as a characteristic unique to the collation paper 12 as an object, color information is not necessary when using a random change in the transparency of the paper due to the randomness of the fibrous material forming the collation paper 12 It is sufficient to read with a single color gray scale as in this embodiment. Further, the gradation resolution in reading may be 256 gradations (8 bits) if the object is the collation sheet 12. Even if the gradation resolution in reading is further increased, the position specifying accuracy is hardly improved.

  Even a commercially available inexpensive reading device can usually read with a gradation resolution of at least 8 bits. However, if for some reason compression of the number of bits of the gradation value is required, for example, the gradation value between shadow and highlight Instead of allocating bits evenly (linearly) to changes in color, more in the lightness range (lightness range close to highlights) where gradation value changes corresponding to random changes in paper transparency are distributed If the number of bits of the gradation value is assigned, even if the number of bits of the gradation value is 6 bits or 4 bits, the number of bits of the gradation value is 8 bits and the bits are assigned evenly with respect to the change of the gradation value. A specific accuracy equivalent to that can be obtained. In addition, lossy compression such as JPEG may be applied to data obtained by reading.

  Furthermore, although the example in which the size of the reading area is larger than the size of the comparison area has been described above, the present invention is not limited to this, and the size of the comparison area is made larger than the size of the reading area, The calculation of the correlation value between the partial area having the same size as the reading area and the reading area may be repeatedly performed while shifting the position of the partial area in the comparison area. However, in this case, there is a disadvantage that the capacity of the comparison data is increased, and it is preferable to make the size of the reading area larger than the size of the comparison area because the storage capacity for storing the comparison data can be saved.

FIG. 1 shows an outline of an information processing system according to this embodiment. FIG. 2 shows the main configuration of the pen. FIG. 3 shows a scanner that can be connected to a PC. FIG. 4 shows the main part of the PC. FIG. 5 is a schematic block diagram showing the configuration in the PC. FIG. 6 shows a read image storage routine. FIG. 7 shows a movement history recording routine. FIG. 8 shows a comparison area having one corner as the origin position. 9A shows an image visualized as a “comparison image”, and FIG. 9B shows an image visualized as a “read image”. FIG. 10 shows a comparison processing routine. (A) of FIG. 11 shows a comparison region having one corner at the position (0, 1), and (B) shows a comparison region having one corner at the position (0, 12).

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Information processing system 12 Collation paper 14 Pen 18 Sensor 18A Light emitting element 18B Image pick-up element 20 Scanner 26 Storage medium 28 Reading apparatus 30 Program 32 CPU
34 ROM
36 RAM
38 Host bus 40 Bridge 42 External bus 48 HDD
50 I / O port 56 Interface 58 Externally connected device

Claims (8)

Portable reading means for reading unique features distributed in the reading area as a reading area with a part of the surface as a movement along the surface of the object in which the unique features having randomness are distributed;
Feature data indicating unique features distributed on the surface of the object, feature storage means for storing positions corresponding to the feature data, read data indicating unique features of the reading area read by the reading means, Detection means for detecting the position of the reading area based on a comparison result with the feature data stored in the storage means, and movement history recording means for recording a movement history of the position detected by the detection means. Information processing apparatus,
Information processing system including Read data storage means for storing, in the information processing apparatus, read data indicating unique features of the reading area read by the reading means as the reading means moves along the surface of the object; A reading means for reading the read data stored by the read data storage means,
The detection means determines the position of the reading area based on a comparison result between the reading data indicating the unique characteristic of the reading area read by the reading means and the characteristic data stored in the storage means. The information processing system according to claim 1 to be detected.   The information processing system according to claim 1, wherein the object is formed of a piece of paper.   The information processing system according to any one of claims 1 to 3, wherein the reading unit reads the reading region by receiving transmitted light or reflected light of light irradiated on a surface of the object.   The detection means is a partial area on the surface of the object extracted from the read data indicating the unique characteristics of the reading area read by the reading means and the characteristic data stored in the storage means Based on the determination means for determining whether or not the correlation value with the comparison data representing the characteristics distributed in the distribution is greater than or equal to a predetermined value, and the comparison data for which the correlation value is determined to be greater than or equal to the predetermined value The information processing system according to claim 1, further comprising a specifying unit that specifies a position of the reading area. The determination means moves the partial area by a predetermined pixel pitch until a correlation value between the read data and the comparison data is equal to or higher than a predetermined value.
When the correlation value between the read data and the comparison data is equal to or greater than a predetermined value, the specifying means calculates the product of the number of pixels from a predetermined reference position to the partial area and the length of one pixel. 6. The information processing system according to claim 5, wherein a position of the reading area is specified with reference to the reference position.   The information processing system according to claim 6, wherein the predetermined pixel pitch is equal to or smaller than a pixel corresponding to a width in the moving direction of the partial area. A storage step for storing in advance feature data indicating a unique feature having randomness distributed in a region on the surface of the object and a position corresponding to the feature data;
A reading step of reading a unique feature distributed in the reading area with a part of the surface as a reading area as the object moves along the surface;
A detection step of detecting a position of the reading area based on a comparison result between the read data indicating the unique characteristic of the read area and the characteristic data stored in advance;
A recording step of recording a movement history of the detected position;
Processing program for causing a computer to execute processing including