JP2016076093A5 - - Google Patents
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- JP2016076093A5 JP2016076093A5 JP2014206201A JP2014206201A JP2016076093A5 JP 2016076093 A5 JP2016076093 A5 JP 2016076093A5 JP 2014206201 A JP2014206201 A JP 2014206201A JP 2014206201 A JP2014206201 A JP 2014206201A JP 2016076093 A5 JP2016076093 A5 JP 2016076093A5
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Description
ここで、文字認識支援装置20で実行されるS91−S9Bの処理は、3隅以上の所定領域内の部分画像から文字認識された第1文字列と第2文字列との間の第1文字列間距離と、前記第1文字列と第2文字列とに対応する第1評価文字列と第2評価文字列との間の第1評価文字列間距離との第1距離比、及び、前記部分画像から文字認識された第1文字列と第3文字列との間の第2文字列間距離と、前記第1文字列と第3文字列とに対応する第1評価文字列と第3評価文字列との間の第2評価文字列間距離との第2距離比に基づい
て、前記認識対象体の撮像画像の上下左右の何れか一の方向についての歪みを補正する移動の要否を判定するステップの一例である。また、文字認識支援装置20のCPU11等は、3隅以上の所定領域内の部分画像から文字認識された第1文字列と第2文字列との間の第1文字列間距離と、前記第1文字列と第2文字列とに対応する第1評価文字列と第2評価文字列との間の第1評価文字列間距離との第1距離比、及び、前記部分画像から文字認識された第1文字列と第3文字列との間の第2文字列間距離と、前記第1文字列と第3文字列とに対応する第1評価文字列と第3評価文字列との間の第2評価文字列間距離との第2距離比に基づいて、前記認識対象体の撮像画像の上下左右の何れか一の方向についての歪みを補正する移動の要否を判定する手段の一例としてS91−S9Bの処理を実行する。
Here, the processing of S91-S9B executed by the character recognition support device 20 is the first character between the first character string and the second character string recognized from the partial images in the predetermined area at three or more corners. and inter-row distance, the first distance ratio of the first evaluation string distance between the first character string and the first evaluation string and the second evaluation character string corresponding to the second character string, and, A distance between the second character strings between the first character string and the third character string recognized from the partial image, a first evaluation character string corresponding to the first character string, and the third character string; Based on the second distance ratio between the second evaluation character string and the third evaluation character string
Te is an example of determining the necessity of moving for correcting the distortion of any one of the vertical and horizontal directions of the captured image before Symbol recognition subject. Further, the CPU 11 or the like of the character recognition support device 20 has a first inter-character string distance between a first character string and a second character string recognized from a partial image in a predetermined area of three or more corners, and the first character string . 1 string and first distance ratio of the first evaluation string distance between the first evaluation string and the second evaluation character string corresponding to the second character string, and is the character recognized from the partial image A distance between the second character strings between the first character string and the third character string, and between the first evaluation character string and the third evaluation character string corresponding to the first character string and the third character string. based on the second distance ratio between the second evaluation string distance between, the means for determining the necessity of moving for correcting the distortion of any one of the vertical and horizontal directions of the captured image before Symbol recognition object As an example, the processing of S91-S9B is executed.
Claims (8)
記憶部に登録された前記認識対象体中の複数の評価文字列の座標情報に基づいて、前記認識対象体を含む撮像画像内での3隅以上の所定領域を特定する手段と、
前記所定領域内の部分画像について文字認識を行い、前記所定領域内で文字認識された文字列と前記認識対象体中の前記評価文字列との関係を判定する手段と、
前記関係から前記矩形の認識対象体の姿勢を示す複数の軸のうち、少なくとも1軸について文字認識できるか否かを、利用者が識別可能な様態で表示する表示制御手段と、
を備える文字認識支援装置。 Means for accepting a captured image including a rectangular recognition target object to be character recognition;
Means for specifying predetermined areas at three or more corners in a captured image including the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Means for performing character recognition on a partial image in the predetermined region, and determining a relationship between a character string recognized in the predetermined region and the evaluation character string in the recognition object;
Display control means for displaying whether or not characters can be recognized on at least one of the plurality of axes indicating the orientation of the rectangular recognition target body from the relationship;
A character recognition support device.
前記表示制御手段は、前記補正移動判定手段で判定された複数の軸方向の補正移動の要否に基づいて、前記認識対象体の撮像画像に重畳させて、前記認識対象体に対する撮影姿勢の補正方向を表示する、請求項1に記載の文字認識支援装置。 Based on the positional relationship between the coordinate information of the evaluation character string and the character string that has been character-recognized in the predetermined area corresponding to the evaluation character string, Correction movement determining means for determining whether or not axial correction movement is necessary,
The display control unit corrects a shooting posture with respect to the recognition target object by superimposing the captured image on the recognition target object based on whether or not a plurality of correction movements in the axial direction determined by the correction movement determination unit are necessary. The character recognition support device according to claim 1, wherein the direction is displayed.
支援装置。 The correction movement determination means includes an angle from the centroid of a combination area including two or more character strings recognized from a partial image in a predetermined area at two or more corners to the centroid direction of each character string recognized. Based on the relative relationship between the centroid of the combination area including two or more evaluation character strings corresponding to the predetermined area and the angle from the centroid direction of each evaluation character string to the captured image of the recognition target object, The character recognition support apparatus according to claim 2, wherein the necessity of counterclockwise rotational movement is determined.
文字認識の対象となる矩形の認識対象体を含む撮像画像を受け付けるステップと、
記憶部に登録された前記認識対象体中の複数の評価文字列の座標情報に基づいて、前記認識対象体を含む撮像画像内での3隅以上の所定領域を特定するステップと、
前記所定領域内の部分画像について文字認識を行い、前記所定領域内で文字認識された文字列と前記認識対象体中の前記評価文字列との関係を判定するステップと、
前記関係から前記矩形の認識対象体の姿勢を示す複数の軸のうち、少なくとも1軸について文字認識できるか否かを、利用者が識別可能な様態で表示する表示制御ステップと、
を実行させるための文字認識支援プログラム。 On the computer,
Receiving a captured image including a rectangular recognition target object for character recognition;
Identifying predetermined areas at three or more corners in a captured image including the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Performing character recognition on the partial image in the predetermined area, and determining a relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object;
A display control step for displaying whether or not characters can be recognized for at least one of the plurality of axes indicating the posture of the rectangular recognition target body from the relationship;
Character recognition support program for running.
文字認識の対象となる矩形の認識対象体を含む撮像画像を受け付けるステップと、
記憶部に登録された前記認識対象体中の複数の評価文字列の座標情報に基づいて、前記認識対象体の撮像画像内での3隅以上の所定領域を特定するステップと、
前記所定領域内の部分画像について文字認識を行い、前記所定領域内で文字認識された文字列と前記認識対象体中の前記評価文字列との関係を判定するステップと、
前記関係から前記矩形の認識対象体の姿勢を示す複数の軸のうち、少なくとも1軸について文字認識できるか否かを、利用者が識別可能な様態で表示する表示制御ステップと、
を実行する文字認識支援方法。 Computer
Receiving a captured image including a rectangular recognition target object for character recognition;
Identifying predetermined areas at three or more corners in a captured image of the recognition target object based on coordinate information of a plurality of evaluation character strings in the recognition target object registered in a storage unit;
Performing character recognition on the partial image in the predetermined area, and determining a relationship between the character string recognized in the predetermined area and the evaluation character string in the recognition object;
A display control step for displaying whether or not characters can be recognized for at least one of the plurality of axes indicating the posture of the rectangular recognition target body from the relationship;
Character recognition support method to execute.
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JP6364051B2 (en) * | 2016-09-15 | 2018-07-25 | 株式会社アイエスピー | Document information acquisition method with guidance, program, and portable terminal device |
JP2018032367A (en) * | 2016-11-28 | 2018-03-01 | 株式会社三菱東京Ufj銀行 | program |
JP6950176B2 (en) * | 2016-12-13 | 2021-10-13 | 株式会社デンソーウェーブ | Captured image storage device and information management system |
WO2018167971A1 (en) * | 2017-03-17 | 2018-09-20 | 株式会社Pfu | Image processing device, control method, and control program |
JP6614186B2 (en) * | 2017-03-21 | 2019-12-04 | カシオ計算機株式会社 | Book document processing apparatus, book document processing method, and program |
JP6408055B2 (en) | 2017-03-22 | 2018-10-17 | 株式会社東芝 | Information processing apparatus, method, and program |
JP6448696B2 (en) | 2017-03-22 | 2019-01-09 | 株式会社東芝 | Information processing apparatus, method, and program |
JP6788801B2 (en) * | 2017-04-07 | 2020-11-25 | カシオ計算機株式会社 | Image confirmation device, image confirmation method, and program |
JP6971789B2 (en) * | 2017-11-09 | 2021-11-24 | キヤノン株式会社 | Information processing equipment, programs and information processing methods |
JP2019096976A (en) * | 2017-11-21 | 2019-06-20 | 株式会社デンソーウェーブ | Captured image storage device |
JP2019120983A (en) * | 2017-12-28 | 2019-07-22 | トッパン・フォームズ株式会社 | Imaging control device and imaging control method |
JP6851337B2 (en) * | 2018-02-07 | 2021-03-31 | 株式会社Pfu | Imaging device, control method and control program |
US11881043B2 (en) * | 2018-07-06 | 2024-01-23 | Rakuten Group, Inc. | Image processing system, image processing method, and program |
EP3786844A4 (en) * | 2018-07-06 | 2021-05-05 | Rakuten, Inc. | Image processing system, image processing method, and program |
FR3097995B1 (en) * | 2019-06-25 | 2021-10-29 | Thales Sa | METHOD AND ELECTRONIC DEVICE FOR VERIFYING A CHARACTER TO BE DISPLAYED ON A SCREEN IN RELATION TO A REFERENCE CHARACTER, COMPUTER PROGRAM PRODUCT, AND ASSOCIATED GRAPHIC PROCESSOR |
CN112115932B (en) * | 2020-08-19 | 2023-11-14 | 泰康保险集团股份有限公司 | Text extraction method and device, electronic equipment and storage medium |
JP7167225B2 (en) * | 2021-03-22 | 2022-11-08 | 楽天グループ株式会社 | Receipt processing system, receipt processing method, and program |
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