JP2012094083A - Reading apparatus, betting ticket pay-back device, betting ticket issuing device and reading method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve a reading performance of a two-dimensional (2D) code.SOLUTION: A reading apparatus 10 includes image production means 11 which produces an image 30 including a 2D code 32 comprising a position detection pattern and a 2D code 34 comprising a position detection pattern 33, position detection pattern detection means 12 which detects the position detection patterns 31 and 33 from the image 30, determination means 13 which determines whether the position detection means 12 can detect the position detection patterns 31 and 33, coordinate calculation means 14 which calculates coordinates of the position detection patterns 31 and 33 and in which, when the determination means 13 determines that one of the position detection patterns 31 and 33 cannot be detected, coordinates of the one position detection pattern are calculated on the basis of coordinates of another position detection pattern, and data recognition means 15 which performs data recognition on the 2D codes 32 and 34 on the basis of the coordinates of the position detection patterns 31 and 33.

Description

  The present invention relates to a reading device that reads a two-dimensional code, a voting ticket refund device, a voting ticket issuing device, and a reading method.

  There is a two-dimensional code that represents data by a plurality of cells arranged in a matrix. Some two-dimensional codes have a position detection pattern. Such a reading device that reads a two-dimensional code scans a medium on which the two-dimensional code is printed, generates an image including the two-dimensional code, and detects a position detection pattern of the two-dimensional code from the generated image. Then, the reading device calculates the coordinates of the detected position detection pattern, and recognizes the data of the two-dimensional code on the image based on the calculated coordinates. In addition, when there is a large amount of data to be expressed by a two-dimensional code, a plurality of two-dimensional codes may be printed adjacent to the same medium.

  In addition, regarding the method of reading a two-dimensional code including a position detection pattern, for example, in addition to the condition that the vertex of a right isosceles triangle is configured by the center point of the three position detection element patterns, three position detection element patterns are included. There is a technique for determining that one two-dimensional code exists in a two-dimensional code region on the condition that a feature as a two-dimensional code is extracted from the two-dimensional code region and its peripheral region (see, for example, Patent Document 1) ).

  In addition, a specific pattern composed of a plurality of cells is displayed in a connected block arranged between two two-dimensional codes, and there is a technique for specifying a specific position of two two-dimensional codes using this specific pattern (for example, , See Patent Document 2).

JP 2007-94584 A JP 2010-61281 A

  However, a two-dimensional code reader having a position detection pattern can detect a position detection pattern if the position detection pattern has missing dots (including medium scratches), print blurring, or print blurring. Therefore, there is a possibility that the data of the 2D code cannot be recognized.

  In view of the above, an object of the present invention is to provide a reading device, a voting ticket refund device, a voting ticket issuing device, and a reading method that improve the reading performance of a two-dimensional code.

In order to achieve the above object, the following reading device, voting ticket refund device, voting ticket issuing device, and reading method are provided.
The reading device scans a medium on which at least two two-dimensional codes each having a position detection pattern are printed, and a first two-dimensional code having a first position detection pattern and a second position detection Image generation means for generating an image including a second two-dimensional code having a pattern, position detection pattern detection means for detecting the first and second position detection patterns from the image generated by the image generation means, Determining means for determining whether or not the first and second position detection patterns can be detected by the position detection pattern detecting means; and means for calculating the coordinates of the first and second position detection patterns. If the determination means determines that one of the position detection patterns cannot be detected, the coordinates of the one position detection pattern are used as the other position detection pattern. Has a coordinate calculation means for calculating, based on the coordinates, based on the coordinates of the first and second position detection pattern, a data recognition means for performing data recognition of the first and second two-dimensional code, the.

  Further, the voting ticket refund apparatus scans the voting ticket taken in by the taking-in means, the taking-in means for taking in the voting ticket printed with at least two two-dimensional codes each having a position detection pattern, and the first position An image generation means for generating an image including a first two-dimensional code having a detection pattern and a second two-dimensional code having a second position detection pattern; and an image generated from the image generated by the image generation means Position detection pattern detection means for detecting the first and second position detection patterns, determination means for determining whether the position detection pattern detection means can detect the first and second position detection patterns, and first and second position detection patterns A means for calculating the coordinates of the position detection pattern, wherein it is determined that one of the first and second position detection patterns cannot be detected. When the determination is made, the coordinate calculation means for calculating the coordinates of one position detection pattern based on the coordinates of the other position detection pattern, and the first and second positions based on the coordinates of the first and second position detection patterns. Data recognition means for recognizing the data of the two-dimensional code.

  In addition, the voting ticket issuing device scans the voting ticket printed by the printing unit that prints at least two two-dimensional codes each having a position detection pattern on the voting ticket, thereby detecting the first position. An image generating means for generating an image including a first two-dimensional code having a pattern and a second two-dimensional code having a second position detection pattern, and a first from the image generated by the image generating means Position detection pattern detection means for detecting the second position detection pattern, determination means for determining whether or not the first and second position detection patterns can be detected by the position detection pattern detection means, and first and second positions A means for calculating the coordinates of the detection pattern, wherein the determination means determines that one of the first and second position detection patterns cannot be detected; Coordinate calculation means for calculating the coordinates of the position detection pattern based on the coordinates of the other position detection pattern, and the coordinates of the first and second two-dimensional codes based on the coordinates of the first and second position detection patterns. Data recognition means for performing data recognition.

  Further, the reading method scans a medium on which at least two two-dimensional codes each having a position detection pattern are printed, and the first two-dimensional code having the first position detection pattern, the second Whether or not the first and second position detection patterns can be detected by generating an image including the second two-dimensional code including the position detection pattern, detecting the first and second position detection patterns from the generated image Is calculated, the coordinates of the first and second position detection patterns are calculated, and when it is determined that one of the first and second position detection patterns cannot be detected, one of the position detection patterns Coordinates are calculated based on the coordinates of the other position detection pattern, and data recognition of the first and second two-dimensional codes is performed based on the coordinates of the first and second position detection patterns.

  According to the disclosed reading device, voting ticket refund device, voting ticket issuing device, and reading method, it is possible to improve the reading performance of the two-dimensional code.

It is a figure which shows an example of the reading apparatus which concerns on 1st Embodiment. It is a figure which shows an example of the hardware of the betting ticket refund apparatus which concerns on 2nd Embodiment. It is a figure which shows an example of the voting ticket which concerns on 2nd Embodiment. It is a block diagram which shows an example of the function of the reader which concerns on 2nd Embodiment. It is a figure which shows an example of the image which the image generation means which concerns on 2nd Embodiment produces | generates. It is a flowchart which shows an example of the reading procedure which concerns on 2nd Embodiment. It is a flowchart which shows an example of the calculation procedure of the coordinate of the position detection pattern which concerns on 2nd Embodiment. It is a figure for demonstrating an example of the calculation method of the coordinate of the position detection pattern which concerns on 2nd Embodiment. It is a flowchart which shows the modification of the reading procedure which concerns on 2nd Embodiment. It is a figure which shows an example of the hardware of the betting ticket issue apparatus which concerns on 3rd Embodiment.

Hereinafter, embodiments will be described with reference to the drawings.
[First Embodiment]
FIG. 1 is a diagram illustrating an example of a reading apparatus according to the first embodiment.

The reading device 10 includes an image generation unit 11, a position detection pattern detection unit 12, a determination unit 13, a coordinate calculation unit 14, and a data recognition unit 15.
A two-dimensional code 22 having a position detection pattern 21 and a two-dimensional code 24 having a position detection pattern 23 are printed on the medium 20 at a predetermined interval. In the two-dimensional codes 22 and 24, a plurality of data cells expressing data are arranged in a matrix.

  The image generation unit 11 scans the medium 20 and generates an image 30 including a two-dimensional code 32 having a position detection pattern 31 and a two-dimensional code 34 having a position detection pattern 33. Here, the two-dimensional code 32 is an image corresponding to the two-dimensional code 22 printed on the medium 20, and the two-dimensional code 34 is an image corresponding to the two-dimensional code 24 printed on the medium 20.

  The position detection pattern detection unit 12 detects position detection patterns 31 and 33 from the image 30. The determination unit 13 determines whether or not the position detection patterns 31 and 33 can be detected by the position detection pattern detection unit 12.

  The coordinate calculation unit 14 calculates the coordinates of the position detection patterns 31 and 33. Further, when the determination unit 13 determines that one of the position detection patterns 31 and 33 cannot be detected, the coordinate calculation unit 14 uses the coordinates of the one position detection pattern as the coordinates of the other position detection pattern. Calculate based on the coordinates.

  That is, for example, when the determination unit 13 determines that the position detection pattern 31 cannot be detected, the coordinate calculation unit 14 calculates the coordinates of the position detection pattern 31 based on the coordinates of the position detection pattern 33 that can be detected. To do.

  The data recognition means 15 performs data recognition of the two-dimensional codes 32 and 34 based on the coordinates of the position detection patterns 31 and 33. Specifically, the data recognition unit 15 performs data recognition of the two-dimensional codes 32 and 34 by sampling the data cell regions of the two-dimensional codes 32 and 34 based on the coordinates of the position detection patterns 31 and 33. .

Next, a reading procedure of the reading device 10 will be described.
First, the image generation unit 11 scans the medium 20 to generate an image 30 including a two-dimensional code 32 having a position detection pattern 31 and a two-dimensional code 34 having a position detection pattern 33.

Next, the position detection pattern detection unit 12 detects position detection patterns 31 and 33 from the image 30.
Next, the determination unit 13 determines whether or not the position detection patterns 31 and 33 can be detected by the position detection pattern detection unit 12.

  Next, the coordinate calculation means 14 calculates the coordinates of the position detection patterns 31 and 33. Here, when the determination unit 13 determines that one of the position detection patterns 31 and 33 cannot be detected, the coordinate calculation unit 14 uses the coordinates of the one position detection pattern as the other position detection pattern. Calculate based on the coordinates of the pattern.

Next, the data recognition unit 15 performs data recognition of the two-dimensional codes 32 and 34 based on the coordinates of the position detection patterns 31 and 33.
As described above, in the reading apparatus 10, when the coordinate calculating unit 14 determines that the position detection pattern of one of the position detection patterns 31 and 33 cannot be detected by the determination unit 13, the coordinate of the one position detection pattern is obtained. , Based on the coordinates of the other position detection pattern.

  According to this configuration, even when one of the position detection patterns 31 and 33 cannot be detected, the coordinates of the one position detection pattern can be specified, and data recognition of the two-dimensional codes 32 and 34 can be performed. Can be performed.

  That is, according to this configuration, one of the position detection patterns 21 and 23 printed on the medium 20 has a missing dot (including medium scratches), a print blur, a print blur, and the like. Even when the detection pattern cannot be detected, both of the two-dimensional codes 22 and 24 printed on the medium 20 can be read, and the reading performance of the two-dimensional code can be improved.

  Further, according to this configuration, since a new symbol or the like is not used to specify the coordinates of the position detection patterns 31 and 33, a new symbol is printed on the medium 20 in addition to the two-dimensional codes 22 and 24. There is no need. For this reason, the reading device 10 can improve the reading performance of the two-dimensional code without increasing the printing space of the medium 20.

[Second Embodiment]
Next, a more specific embodiment in which the reading device 10 is applied to a betting ticket refund device will be described as a second embodiment. FIG. 2 is a diagram illustrating an example of hardware of a betting ticket refund device according to the second embodiment.

  The voting ticket refund device 200 includes a reading device 100, an I / O board 210, a take-in unit 220 for taking in a voting ticket, and an exit unit 230 for taking out a voting ticket. The capturing unit 220 includes a sensor, a solenoid, and a motor, and is controlled by the I / O board 210. The outlet 230 is also controlled by the I / O board 210.

  The reading apparatus 100 includes a control unit 120 including a storage unit 110 and an external interface 150, and a scanner 130. The scanner 130 is provided with an image sensor 140. The scanner 130 has a sensor and the like, and is controlled by the I / O board 210. The image sensor 140 is controlled by the control unit 120. The control unit 120 controls the I / O board 210.

Next, the voting ticket taken into the voting ticket refund device 200 will be described. FIG. 3 is a diagram illustrating an example of a voting ticket according to the second embodiment.
On the voting ticket 300, rectangular QR codes (registered trademark) 310 and 320, which are a kind of two-dimensional code, are printed at a predetermined interval in the longitudinal direction of the voting ticket 300. Here, the distance between the QR code 310 and the QR code 320 is defined in advance by a standard or the like.

  The QR code 310 has a position detection pattern 311 printed at the upper left corner (upper left), a position detection pattern 312 printed at the upper right corner (upper right), and a position at the lower left corner (lower left). A detection pattern 313 is printed. Furthermore, an alignment pattern 314 is printed on the QR code 310. In the QR code 310, a region excluding the position detection patterns 311 to 313 and the alignment pattern 314 is a data cell region 315.

  The QR code 320 has a position detection pattern 321 printed at the upper left corner (upper left), a position detection pattern 322 printed at the upper right corner (upper right), and a position at the lower left corner (lower left). A detection pattern 323 is printed. Further, an alignment pattern 324 is printed on the QR code 320. In the QR code 320, a region excluding the position detection patterns 321 to 323 and the alignment pattern 324 is a data cell region 325.

Each of the QR codes 310 and 320 may represent individual data, or each may represent a part of common data.
Next, the function of the reading device 100 built in the betting ticket refund device 200 will be described. FIG. 4 is a block diagram illustrating an example of functions of the reading apparatus according to the second embodiment.

  The reading apparatus 100 includes an image generation unit 101, a position detection pattern detection unit 102, a determination unit 103, an inclination calculation unit 104, an inclination data storage unit 105, a coordinate calculation unit 106, a distance data storage unit 107, Data recognition means 108.

  The image generation means 101 scans the voting ticket 300 and generates an image including two two-dimensional codes. Here, an image generated by the image generation means 101 is shown in FIG. FIG. 5 is a diagram illustrating an example of an image generated by the image generation unit according to the second embodiment.

  An image 400 generated by the image generation unit 101 includes QR codes 410 and 420. The QR code 410 is an image corresponding to the QR code 310 printed on the voting ticket 300 shown in FIG. 3, and the QR code 420 is an image corresponding to the QR code 320 printed on the voting ticket 300.

  That is, the QR code 410 corresponds to the position detection patterns 311 to 313, the alignment pattern 314, and the data cell region 315 of the QR code 310, respectively, and the position detection patterns 411, 412, 413, the alignment pattern 414, and the data A cell region 415 is provided.

  The QR code 420 corresponds to the position detection patterns 321 to 323, the alignment pattern 324, and the data cell area 325 of the QR code 320, respectively, and the position detection patterns 421, 422, 423, the alignment pattern 424, and the data cell area. 425.

Note that the coordinates of each pattern of the QR codes 410 and 420 are indicated by an x coordinate and ay coordinate.
The position detection pattern detection unit 102 illustrated in FIG. 4 detects position detection patterns 411 to 413 and 421 to 423 from the image 400. The determination unit 103 determines whether or not the position detection patterns 411 to 413 and 421 to 423 can be detected by the position detection pattern detection unit 102.

  The inclination calculation unit 104 calculates the inclination of the QR codes 410 and 420. That is, in the voting ticket refund device 200, the captured voting ticket 300 may be tilted when moving on the conveyance path. When the image generation means 101 scans the voting ticket 300 and generates the image 400 with the voting ticket 300 tilted, the QR codes 410 and 420 are tilted. The inclination calculation means 104 calculates this inclination.

The inclination data storage unit 105 stores the inclinations of the QR codes 410 and 420 calculated by the inclination calculation unit 104 as inclination data.
The distance data storage means 107 stores the distance between the position detection patterns 311 to 313 of the QR code 310 printed on the voting ticket 300 shown in FIG. 3 and the position detection patterns 321 to 323 of the QR code 320 as data. .

  Specifically, the distance data storage unit 107 includes a distance d1 between the position detection pattern 311 and the position detection pattern 321, a distance d2 between the position detection pattern 312 and the position detection pattern 322, and a position detection pattern 313. The distance d3 between the position detection pattern 323 and the position detection pattern 323 is stored as data.

The distance between the QR code 310 and the QR code 320 is defined in advance by a standard or the like. That is, the distances d1 to d3 are also defined in advance.
The coordinate calculation means 106 calculates the coordinates of the position detection patterns 411 to 413 and 421 to 423 of the image 400 shown in FIG. Further, when the determination unit 103 determines that the position detection pattern of one QR code of the QR codes 410 and 420 cannot be detected, the coordinate calculation unit 106 extracts the inclination from the inclination data storage unit 105 and further calculates the distance. The distances d1 to d3 are extracted from the data storage means 107.

  Then, the coordinate calculating means 106 extracts the coordinates of the position detection pattern of one QR code determined to be unable to detect the position detection pattern, the extracted inclination and distances d1 to d3, and the coordinates of the position detection pattern of the other QR code. Based on and.

  The data recognition unit 108 performs data recognition of the QR code 410 by sampling the data cell area 415 of the QR code 410 based on the coordinates of the position detection patterns 411 to 413. Furthermore, the data recognition unit 108 performs data recognition of the QR code 420 by sampling the data cell region 425 of the QR code 420 based on the coordinates of the position detection patterns 421 to 423.

Next, a reading procedure of the reading device 100 will be described.
FIG. 6 is a flowchart illustrating an example of a reading procedure according to the second embodiment.
Before executing the following procedure, the image generation unit 101 scans the voting ticket 300 to generate the image 400, and the distance data storage unit 107 stores data of distances d1 to d3. Shall.

[Step S <b> 101] The position detection pattern detection unit 102 detects position detection patterns 411 to 413 and 421 to 423 from the image 400.
[Step S102] The determination unit 103 determines whether the position detection pattern detection unit 102 has detected the position detection patterns 411 to 413 of the QR code 410 and the position detection patterns 421 to 423 of the QR code 420. If it can be detected, the determination unit 103 advances the process to step S103. If not detected, the determination unit 103 advances the process to step S104.

  [Step S103] The coordinate calculation means 106 calculates the coordinates of the position detection patterns 411 to 413 and 421 to 423 of the QR codes 410 and 420, and advances the processing to step S107.

  [Step S104] The determination unit 103 determines whether the position detection pattern detection unit 102 has detected a position detection pattern of one of the QR codes 410 and 420. If it can be detected, the determination unit 103 advances the process to step S105. If not detected, the determination unit 103 advances the process to step S111.

[Step S105] The coordinate calculation means 106 calculates the coordinates of the QR code position detection pattern determined to be detected by the determination means 103.
[Step S106] The coordinate calculation unit 106 calculates the coordinates of the position detection pattern of the QR code that the determination unit 103 has determined not to detect, and the process proceeds to step S107.

  [Step S107] The data recognition unit 108 performs data recognition of the QR code 410 by sampling the data cell region 415 of the QR code 410 based on the coordinates of the position detection patterns 411 to 413. Further, the data recognition unit 108 performs data recognition of the QR code 420 by sampling the data cell region 425 of the QR code 420 based on the coordinates of the position detection patterns 421 to 423.

  [Step S108] The data recognition unit 108 determines whether the data recognition in step S107 has been performed normally. When the data recognition is normally performed, the data recognition unit 108 ends the process. If the data recognition is not normally performed, the data recognition unit 108 advances the process to step S109.

[Step S109] The data recognition means 108 decodes the data.
[Step S110] The data recognition unit 108 determines whether or not the data decoding in step S109 has been performed normally. If the data decryption is normally performed, the data recognition unit 108 ends the process. If the data decoding has not been performed normally, the data recognition unit 108 advances the process to step S111.

[Step S111] The determination unit 103 or the data recognition unit 108 executes an error process and ends the process.
Next, the detailed procedure of step S106 described above will be described. FIG. 7 is a flowchart illustrating an example of a procedure for calculating the coordinates of the position detection pattern according to the second embodiment.

[Step S121] The inclination calculating means 104 calculates the inclination of the QR codes 410 and 420.
[Step S122] The inclination calculation unit 104 stores the calculated inclination as data in the inclination data storage unit 105.

  [Step S123] The coordinate calculation unit 106 stores the x-coordinate of the upper left position detection pattern of the QR code determined to be undetectable in the position detection pattern coordinate of the other QR code and the inclination data storage unit 105. And the distance d1 stored in the distance data storage means 107.

  [Step S124] The coordinate calculation unit 106 calculates the y coordinate of the upper left position detection pattern of the QR code determined to be undetectable based on the x coordinate calculated in step S123.

  [Step S125] The coordinate calculation means 106 stores the x coordinate of the upper right position detection pattern of the QR code determined to be undetectable in the position detection pattern coordinate of the other QR code and the inclination data storage means 105. And the distance d2 stored in the distance data storage means 107.

  [Step S126] The coordinate calculation means 106 calculates the y coordinate of the upper right position detection pattern of the QR code determined to be undetectable based on the x coordinate calculated in step S125.

  [Step S127] The coordinate calculation unit 106 stores the x-coordinate of the lower left position detection pattern of the QR code determined to be undetectable in the other QR code position detection pattern coordinate and the inclination data storage unit 105. And the distance d3 stored in the distance data storage means 107.

  [Step S128] The coordinate calculation means 106 calculates the y-coordinate of the lower left position detection pattern of the QR code determined to be undetectable based on the x-coordinate calculated in step S127, and ends the process.

Next, an example of a method of calculating the coordinates of the QR code position detection pattern determined to be undetectable in steps S123 to S128 described above will be described.
FIG. 8 is a diagram for explaining an example of a method for calculating the coordinates of the position detection pattern according to the second embodiment.

  Here, it is determined that the position detection patterns 421 to 423 of the QR code 420 cannot be detected, and the QR codes 410 and 420 of the image 400 are inclined by an angle θ as shown in FIG. To do. In FIG. 8, the alignment patterns 414 and 424 and the data cell regions 415 and 425 are not shown.

  For the sake of explanation, the position detection pattern 413 is “a”, the position detection pattern 411 is “b”, the position detection pattern 412 is “c”, the position detection pattern 423 is “d”, and the position detection pattern 421 is “E” and the position detection pattern 422 are “f”.

  Hereinafter, as a representative example, a calculation method for obtaining the coordinates (x, y) of “e” will be described. The coordinates of “a” to “c” are calculated in advance, the coordinates of “b” are (h, i), and the coordinates of “c” are (j, k).

Further, the distance be between “b” and “e” corresponds to the distance d1 stored in the distance data storage unit 107. Here, for example, it is assumed that be = 14.2 [mm].
Further, it is assumed that cos θ and tan θ are stored in the inclination data storage unit 105 as inclinations of the QR codes 410 and 420.

Here, cos θ and tan θ are obtained by the following equations (1) and (2).
cos θ = (j−h) / bc (1)
tan θ = (ki) / (j−h) (2)
Here, bc is a distance between “b” and “c” and is obtained by the following equation (3).

bc = √ {(j−h) ² + (k−i) ² } (3)
Then, the coordinates (x, y) of “e” are obtained by calculating the following equations (4) and (5).

x = be * cos θ + h = 14.2 * (j−h) / √ {(j−h) ² + (ki) ² } + h (4)
y = x * tan θ + i = {14.2 * (j−h) / √ {(j−h) ² + (ki) ² } + h} * (ki) / (j−h) + i. (5)
As described above, in the reading apparatus 100, when the determination unit 103 determines that the coordinate calculation unit 106 cannot detect the position detection pattern of one of the QR codes 410 and 420, one QR is detected. The coordinates of the position detection pattern of the code are calculated based on the coordinates of the position detection pattern of the other QR code.

  According to this configuration, even when the position detection pattern of one of the QR codes 410 and 420 cannot be detected, the coordinates of the position detection pattern of one of the QR codes can be specified. 420 data can be recognized.

  That is, according to this configuration, one of the QR codes 310 and 320 printed on the voting ticket 300 has a missing dot (including media scratches), print blur, print blur, or the like in the position detection pattern of one QR code. Even if there is, both the QR codes 310 and 320 printed on the voting ticket 300 can be read, and the QR code reading performance can be improved.

  In addition, according to this configuration, since new symbols or the like are not used to specify the coordinates of the position detection patterns 411 to 413 and 421 to 423 of the QR codes 410 and 420, the QR code 310, In addition to 320, there is no need to print a new symbol. For this reason, the reading device 100 can improve the QR code reading performance without increasing the printing space of the voting ticket 300.

  Further, in the reading device 100, the coordinate calculation means 106 calculates the coordinates of the position detection pattern of one QR code determined to be unable to detect the position detection pattern, and the QR code 310 and the QR code printed on the voting ticket 300. It is calculated based on the distances d1 to d3 with the 320.

  According to this configuration, it is possible to calculate the coordinates of the position detection pattern of one QR code that has been determined that the position detection pattern cannot be detected without performing complicated calculations. As a result, it is possible to reduce the time for reading the QR code.

  Further, in the reading apparatus 100, the coordinate calculation unit 106 calculates the coordinates of the position detection pattern of one QR code that is determined to be unable to detect the position detection pattern based on the inclination of the QR codes 410 and 420. Yes.

According to this configuration, even when the QR codes 410 and 420 are inclined, it is possible to calculate the coordinates of the position detection pattern of one QR code that has been determined that the position detection pattern cannot be detected. The code reading performance can be further improved.
(Modification)
Next, another example of the reading procedure of the reading device 100 will be described as a modified example. In the modification, the position detection patterns 411 to 413 of the QR code 410 and the position detection patterns 421 to 423 of the QR code 420 are individually detected.

FIG. 9 is a flowchart showing a modification of the reading procedure according to the second embodiment.
Before executing the following procedure, the image generation unit 101 scans the voting ticket 300 to generate the image 400, and the distance data storage unit 107 stores data of distances d1 to d3. Shall.

In FIG. 9, the QR code 410 is illustrated as a first QR code, and the QR code 420 is illustrated as a second QR code.
[Step S131] The position detection pattern detection means 102 detects the position detection patterns 411 to 413 of the QR code 410 from the image 400.

[Step S132] The position detection pattern detection unit 102 detects the position detection patterns 421 to 423 of the QR code 420 from the image 400.
[Step S133] The determination unit 103 determines whether the position detection pattern detection unit 102 has detected the position detection patterns 421 to 423 of the QR code 420. If it can be detected, the determination unit 103 advances the process to step S134. If not detected, the determination unit 103 advances the process to step S136.

  [Step S134] The determination unit 103 determines whether the position detection pattern detection unit 102 has detected the position detection patterns 411 to 413 of the QR code 410. If it can be detected, the determination unit 103 advances the process to step S135. If not detected, the determination unit 103 advances the process to step S137.

  [Step S135] The coordinate calculation means 106 calculates the coordinates of the position detection patterns 411 to 413 and 421 to 423 of the QR codes 410 and 420, and advances the processing to step S139.

  [Step S136] The determination unit 103 determines whether the position detection pattern detection unit 102 has detected the position detection patterns 411 to 413 of the QR code 410. If it can be detected, the determination unit 103 advances the process to step S137. If not detected, the determination unit 103 advances the process to step S143.

[Step S137] The coordinate calculation means 106 calculates the coordinates of the QR code position detection pattern determined to be detected by the determination means 103.
[Step S138] The coordinate calculation unit 106 calculates the coordinates of the QR code position detection pattern determined that the determination unit 103 could not detect, and the process proceeds to step S139. The detailed procedure of step S138 is the same as that of step S106 shown in FIG.

  [Step S139] The data recognition unit 108 performs data recognition of the QR code 410 by sampling the data cell area 415 of the QR code 410 based on the coordinates of the position detection patterns 411 to 413. Further, the data recognition unit 108 performs data recognition of the QR code 420 by sampling the data cell region 425 of the QR code 420 based on the coordinates of the position detection patterns 421 to 423.

  [Step S140] The data recognition unit 108 determines whether or not the data recognition in step S139 has been performed normally. When the data recognition is normally performed, the data recognition unit 108 ends the process. If the data recognition is not normally performed, the data recognition unit 108 advances the process to step S141.

[Step S141] The data recognition unit 108 decodes the data.
[Step S142] The data recognition unit 108 determines whether or not the data decoding in step S141 has been performed normally. If the data decryption is normally performed, the data recognition unit 108 ends the process. If the data decoding has not been performed normally, the data recognition unit 108 advances the process to step S143.

[Step S143] The determination unit 103 or the data recognition unit 108 executes error processing and ends the processing.
[Third Embodiment]
Next, an embodiment in which the reading device 100 according to the second embodiment is applied to a betting ticket issuing device will be described as a third embodiment.

FIG. 10 is a diagram illustrating an example of hardware of a betting ticket issuing device according to the third embodiment.
The voting ticket issuing device 500 includes a reading device 600, an I / O board 510, a fetching unit 520 that takes in a voting ticket, an exit unit 530 that issues a voting ticket, and a printing unit 540 that prints a QR code on the voting ticket. 550 and a switching unit 560 that switches the voting ticket transport direction.

  The capturing unit 520 and the switching unit 560 include a sensor, a solenoid, and a motor, and are controlled by the I / O board 510. The outlet 530 is also controlled by the I / O board 510. The printing units 540 and 550 have a thermal head, a sensor, and the like, and are controlled by the I / O board 510.

  The reading device 600 includes a control unit 620 including a storage unit 610 and an external interface 670, and scanners 630 and 650. The scanner 630 is provided with an image sensor 640, and the scanner 650 is provided with an image sensor 660. The image sensors 640 and 660 are controlled by the control unit 620. The control unit 620 controls the I / O board 510.

The reading device 600 has the same function as the reading device 100 of the second embodiment.
In the betting ticket issuing device 500, the printing unit 540, 550 prints the QR code on the betting ticket, and then the reading device 600 reads the QR code of the printed betting ticket. If the reading is performed normally, a voting ticket is issued. If the reading is not performed normally, the voting ticket is not issued.

As described above, the betting ticket issuing device 500 includes the reading device 600 having the same function as that of the reading device 100 according to the second embodiment.
For this reason, the betting ticket issuing device 500 can improve the reading performance of the QR code of the printed betting ticket. That is, the voting ticket issuing device 500 can read even a voting ticket in which the printed QR code has missing dots (including medium scratches, etc.), printing blur, or printing blemishes. Relief can be issued.

  For example, voting tickets used in public competitions (horse racing, bicycle racing, boat racing, auto racing, etc.) are issued tens of thousands per day. It has a big influence on the amount of use. Also, since there is a deadline for voting, there are cases where voting cannot be done due to time loss due to time loss due to inability to read, etc., which may lead to fan complaints.

As described above, the voting ticket issuing apparatus 500 can reduce the number of voting tickets that cannot be read. Therefore, the voting ticket issuing apparatus 500 can contribute to smooth competition management by being used in public competitions.
Further, in the betting ticket issuing device 500, it is possible to remedy and issue even a voting ticket having a dot defect or the like, so that the amount of wasted tickets can be reduced.

  By reducing the amount of wasted tickets, in the printing units 540 and 550, resistance to printing omission due to paper dust of the voting tickets is improved, so that the cleaning cycle of the voting ticket issuing device 500 can be lengthened.

  In addition, since the voting ticket issuing device 500 can remedy and issue even a voting ticket with missing dots, it is possible to use a thermal head that easily causes missing dots in the printing units 540 and 550. Become.

DESCRIPTION OF SYMBOLS 10,100,600 Reading apparatus 11,101 Image generation means 12,102 Position detection pattern detection means 13,103 Judgment means 14,106 Coordinate calculation means 15,108 Data recognition means 20 Medium 21,23,31,33,311 313, 321-323, 411-413, 421-423 Position detection pattern 22, 24, 32, 34 Two-dimensional code 30,400 Image 104 Inclination calculation means 105 Inclination data storage means 107 Distance data storage means 110, 610 Storage section 120 , 620 Control unit 130, 630, 650 Scanner 140, 640, 660 Image sensor 150, 670 External interface 200 Voting ticket refund device 210, 510 I / O board 220, 520 Loading unit 230, 530 Exit unit 300 Voting ticket 31 0, 320, 410, 420 QR code 314, 324, 414, 424 Alignment pattern 315, 325, 415, 425 Data cell area 500 Voting ticket issuing device 540, 550 Printing unit 560 Switching unit

Claims (6)

A medium on which at least two two-dimensional codes each having a position detection pattern are printed is scanned, and a first two-dimensional code having a first position detection pattern and a second position detection pattern are provided. Image generating means for generating an image including two two-dimensional codes;
Position detection pattern detection means for detecting the first and second position detection patterns from the image generated by the image generation means;
Determination means for determining whether or not the first and second position detection patterns can be detected by the position detection pattern detection means;
Means for calculating the coordinates of the first and second position detection patterns, wherein the determination means determines that one of the first and second position detection patterns cannot be detected; Coordinate calculation means for calculating the coordinates of the one position detection pattern based on the coordinates of the other position detection pattern;
Data recognition means for performing data recognition of the first and second two-dimensional codes based on the coordinates of the first and second position detection patterns;
A reading apparatus comprising:   The coordinate calculation means calculates a coordinate of the one position detection pattern based on a distance between the two two-dimensional codes of the medium and a coordinate of the other position detection pattern. Item 2. The reading device according to Item 1. An inclination calculating means for calculating an inclination of the first and second two-dimensional codes;
The coordinate calculation means calculates the coordinates of the one position detection pattern based on the inclinations of the first and second two-dimensional codes calculated by the inclination calculation means and the coordinates of the other position detection pattern. The reading device according to claim 1, wherein the reading device is a reading device. Capturing means for capturing a voting ticket printed with at least two two-dimensional codes each having a position detection pattern;
An image including the first two-dimensional code provided with the first position detection pattern and the second two-dimensional code provided with the second position detection pattern by scanning the voting ticket taken in by the taking-in means. Image generating means for generating
Position detection pattern detection means for detecting the first and second position detection patterns from the image generated by the image generation means;
Determination means for determining whether or not the first and second position detection patterns can be detected by the position detection pattern detection means;
Means for calculating the coordinates of the first and second position detection patterns, wherein the determination means determines that one of the first and second position detection patterns cannot be detected; Coordinate calculation means for calculating the coordinates of the one position detection pattern based on the coordinates of the other position detection pattern;
Data recognition means for performing data recognition of the first and second two-dimensional codes based on the coordinates of the first and second position detection patterns;
A voting ticket refund device characterized by comprising: Printing means for printing at least two two-dimensional codes each provided with a position detection pattern on a voting ticket;
The voting ticket printed by the printing means is scanned, and includes a first two-dimensional code having a first position detection pattern and a second two-dimensional code having a second position detection pattern. Image generating means for generating an image;
Position detection pattern detection means for detecting the first and second position detection patterns from the image generated by the image generation means;
Determination means for determining whether or not the first and second position detection patterns can be detected by the position detection pattern detection means;
Means for calculating the coordinates of the first and second position detection patterns, wherein the determination means determines that one of the first and second position detection patterns cannot be detected; Coordinate calculation means for calculating the coordinates of the one position detection pattern based on the coordinates of the other position detection pattern;
Data recognition means for performing data recognition of the first and second two-dimensional codes based on the coordinates of the first and second position detection patterns;
A voting ticket issuing device characterized by comprising: A medium on which at least two two-dimensional codes each having a position detection pattern are printed is scanned, and a first two-dimensional code having a first position detection pattern and a second position detection pattern are provided. An image containing two two-dimensional codes,
Detecting the first and second position detection patterns from the generated image;
Determining whether the first and second position detection patterns can be detected;
When the coordinates of the first and second position detection patterns are calculated and it is determined that one of the first and second position detection patterns cannot be detected, the coordinates of the one position detection pattern Is calculated based on the coordinates of the other position detection pattern,
Performing data recognition of the first and second two-dimensional codes based on the coordinates of the first and second position detection patterns;
A reading method characterized by the above.

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