CN102930265A - Method and device for scanning multiple identity cards - Google Patents
Method and device for scanning multiple identity cards Download PDFInfo
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- CN102930265A CN102930265A CN2012103507042A CN201210350704A CN102930265A CN 102930265 A CN102930265 A CN 102930265A CN 2012103507042 A CN2012103507042 A CN 2012103507042A CN 201210350704 A CN201210350704 A CN 201210350704A CN 102930265 A CN102930265 A CN 102930265A
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Abstract
The invention discloses a method and device for scanning multiple identity cards. The method comprises the following steps of: scanning the both surfaces of the multiple identity cards in a scanning area; performing edge extraction on scan images; performing the procedures of positioning, cutting and correcting by rotation on the scan images subjected to the edge extraction, thus obtaining a scan image of each identity card; performing characteristic extraction on each scan image of the identity card to obtain a characteristic pattern of the scan image of each identity card; comparing the characteristic pattern of the scan image of each identity card with a characteristic database storing standard characteristic patterns of the identity cards to perform orientation judgment and orientation correction on the scan image of each identity card, thus obtaining a corrected scan image of each identity card; and splicing a front image and a back image of each corrected scan image of each identity card, and then outputting a spliced image. The method and the device ensure that customers can conveniently perform double-face scanning operation on the multiple identity cards, are high in scanning speed and efficiency, provide good user experience, and can be widely applied to the field of scanning.
Description
Technical field
The present invention relates to a kind of scan method and device, particularly a kind of many I.D.s scan method and device.
Background technology
The scanner master carries out image pickup based on the optoelectronic induction principle, is used for converting the content of hard copy file to e-file by the mode that scans, so that the user propagates, puts in order or preserves.Common scanner only can the scanning document single face image.To data such as I.D., bill, business cards, need to carry out keeping on file to preserve or use behind the duplex scanning to it.Generally speaking, behind the image of need scanning document one side, the manual overturning file just can scan the image of file another side.This operation is cumbersome, and particularly travel agency, bank, hotel etc. often want the batch scanning I.D., adopt this method to scan one by one, and sweep velocity is slow, efficient is low, and is easy to put upside down dislocation, makes troubles to application, and user experience is poor.
Summary of the invention
In order to solve above-mentioned technical matters, the invention provides many I.D.s scan method that a kind of sweep velocity is fast, efficient, user experience is good.The present invention also provides many I.D.s scanister that a kind of sweep velocity is fast, efficient, user experience is good.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of many I.D.s scan method comprises:
S1, many I.D.s in the scanning area are carried out duplex scanning and obtain comprising the scan image of direct picture and reverse side image;
S2, scan image is carried out edge extracting;
Scan image after S3, edge extract positions, obtain the scan image of every I.D. behind cutting and the rotation correction;
S4, the scan image of every I.D. carried out obtaining after the feature extraction characteristic pattern of the scan image of every I.D.;
S5, with the characteristic pattern of the scan image of every I.D. with store I.D. standard feature Graph Character database and compare, and then the scan image of every I.D. is carried out the orientation judge and directional correction, obtain the scan image after the correction of every I.D.;
S6, the direct picture in the scan image after the correction of every I.D. and reverse side image are spliced rear output.
Further, described step S2, it is specially:
After adopting the Sobel edge detection operator that scan image is detected, extract the efficiency frontier of scan image.
Further, described step S4, it is specially:
After adopting maximum variance between clusters to carry out binary conversion treatment to the scan image of every I.D., carry out again the rectangular neighborhood minimization, obtain the characteristic pattern of the scan image of every I.D..
Further, described step S6 comprises:
S11, the scan image after the correction of every I.D. is processed, its reverse side Image Mosaics is obtained the scanning document of every I.D. under direct picture or after the front-right;
S12, with scanning document output and print, perhaps
With scanning document output and carry out the digitizing storage.
Further, described step S12, it is specially:
Scanning document is exported and printed, perhaps
From the direct picture after the correction of I.D., cut out the ID (identity number) card No. zone and it is done vertical projection, and then identify ID (identity number) card No., and utilize the ID (identity number) card No. that identifies that scanning document is named preservation.
The present invention solves another technical scheme that its technical matters adopts:
A kind of many I.D.s scanister comprises:
Scan module is used for many I.D.s in the scanning area are carried out duplex scanning and obtain comprising the scan image of direct picture and reverse side image;
The edge extracting module is used for scan image is carried out edge extracting;
Image collection module is used for that scan image after edge extracts positions, obtains the scan image of every I.D. behind cutting and the rotation correction;
Characteristic extracting module is used for the characteristic pattern that scan image to every I.D. carries out obtaining after the feature extraction scan image of every I.D.;
Judge and correction module, be used for the characteristic pattern of scan image that will every I.D. and store I.D. standard feature Graph Character database comparing, and then the scan image of every I.D. is carried out the orientation judge and directional correction, obtain the scan image after the correction of every I.D.;
The splicing processing module is used for direct picture and the reverse side image of the scan image after the correction of every I.D. are spliced rear output.
Further, after described edge extracting module adopts the Sobel edge detection operator that scan image is detected, extract the efficiency frontier of scan image.
Further, described characteristic extracting module is carried out the rectangular neighborhood minimization after adopting maximum variance between clusters to carry out binary conversion treatment to the scan image of every I.D. again, obtains the characteristic pattern of the scan image of every I.D..
Further, described splicing processing module comprises:
Concatenation unit is used for the scan image after the correction of every I.D. is processed, and its reverse side Image Mosaics is obtained the scanning document of every I.D. under direct picture or after the front-right;
The output processing unit is used for scanning document output and prints, perhaps with scanning document output and carry out the digitizing storage.
Further, described output processing unit is used for:
Scanning document is exported and printed, perhaps
From the direct picture after the correction of I.D., cut out the ID (identity number) card No. zone and it is done vertical projection, and then identify ID (identity number) card No., and utilize the ID (identity number) card No. that identifies that scanning document is named preservation.
The invention has the beneficial effects as follows: a kind of many I.D.s scan method of the present invention, after many I.D.s are carried out duplex scanning simultaneously, successively scan image is carried out edge extracting, location, cutting, rotation correction and feature extraction, and carry out the orientation and judge and directional correction in conjunction with storing I.D. standard feature Graph Character database according to the feature of extracting, realize splicing and the preservation of direct picture and the reverse side image of every I.D..This method is very easy to the client to the duplex scanning operation of many I.D.s, and sweep velocity is fast, efficient and user experience is good.
Another beneficial effect of the present invention is: a kind of many I.D.s scanister of the present invention, after many I.D.s are carried out duplex scanning simultaneously, successively scan image is carried out edge extracting, location, cutting, rotation correction and feature extraction, and carry out the orientation and judge and directional correction in conjunction with storing I.D. standard feature Graph Character database according to the feature of extracting, realize splicing and the preservation of direct picture and the reverse side image of every I.D..This device is very easy to the client to the duplex scanning operation of many I.D.s, and sweep velocity is fast, efficient and user experience is good.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples.
Fig. 1 is the workflow diagram of a kind of I.D. scan method of the present invention;
Fig. 2 is the detail flowchart of step S6 among Fig. 1;
Fig. 3 is the direct picture of the scan image among the step S1 among Fig. 1;
Fig. 4 is the reverse side image of the scan image among the step S1 among Fig. 1;
Fig. 5 is the reverse side image of the I.D. that obtains after the scan image after edge extracts among the step S3 among Fig. 1 positions, cuts;
Fig. 6 is the schematic diagram that the reverse side image to the I.D. among Fig. 5 is rotated;
Fig. 7 is the direct picture of the I.D. after being rotated among the step S3 among Fig. 1;
Fig. 8 is the reverse side image of the I.D. after being rotated among the step S3 among Fig. 1;
Fig. 9 is the characteristic pattern after the direct picture to the I.D. of Fig. 7 extracts;
Figure 10 is the characteristic pattern after the reverse side image to the I.D. of Fig. 8 extracts;
When Figure 11 is the rectangular neighborhood minimization, take central point as P(i, j), take radius as 2 rectangular neighborhoods that form;
Figure 12 is the I.D. zone that cuts out when step S12 carries out the digitizing storage among Fig. 2;
Figure 13 carries out the projected image that vertical projection obtains to the I.D. zone of Figure 12;
Figure 14 is the structured flowchart of a kind of I.D. scanister of the present invention.
Embodiment
With reference to Fig. 1, the invention provides a kind of many I.D.s scan method, comprising:
S1, many I.D.s in the scanning area are carried out duplex scanning and obtain comprising the scan image of direct picture and reverse side image, as shown in Figures 3 and 4;
S2, scan image is carried out edge extracting;
Scan image after S3, edge extract positions, obtain the scan image of every I.D. behind cutting and the rotation correction, extremely shown in Figure 8 such as Fig. 5, among Fig. 6, boundary rectangle according to I.D., calculate anglec of rotation α, then ID Card Image is rotated correction, corresponding, the I.D. another side also carries out corresponding rotation correction;
S4, the scan image of every I.D. carried out obtaining after the feature extraction characteristic pattern of the scan image of every I.D., such as Fig. 9 and shown in Figure 10;
S5, with the characteristic pattern of the scan image of every I.D. with store I.D. standard feature Graph Character database and compare, and then the scan image of every I.D. is carried out the orientation judge and directional correction, obtain the scan image after the correction of every I.D., judge namely whether the upper-lower position of view data is put upside down, if, then image is spun upside down or judge that whether put upside down the position, the left and right sides of view data, if so, then carries out flip horizontal to image;
S6, the direct picture in the scan image after the correction of every I.D. and reverse side image are spliced rear output.
Be further used as preferred embodiment, described step S2, it is specially:
After adopting the Sobel edge detection operator that scan image is detected, extract the efficiency frontier of scan image.
Be further used as preferred embodiment, described step S4, it is specially:
After adopting maximum variance between clusters to carry out binary conversion treatment to the scan image of every I.D., carry out again the rectangular neighborhood minimization, obtain the characteristic pattern of the scan image of every I.D..
Be further used as preferred embodiment, with reference to Fig. 2, described step S6 comprises:
S11, the scan image after the correction of every I.D. is processed, its reverse side Image Mosaics is obtained the scanning document of every I.D. under direct picture or after the front-right;
S12, with scanning document output and print, perhaps
With scanning document output and carry out the digitizing storage.
Be further used as preferred embodiment, described step S12, it is specially:
Scanning document is exported and printed, perhaps
From the direct picture after the correction of I.D., cut out the ID (identity number) card No. zone and it is done vertical projection, and then identify ID (identity number) card No., and utilize the ID (identity number) card No. that identifies that scanning document is named preservation, such as Figure 12 and shown in Figure 13, during vertical projection, the pixel value that makes ater zone in the image is 0, the pixel value in pure white zone is 255, after then vertical projection being carried out in the ID (identity number) card No. zone that cuts out, white space in the perspective view between the corresponding numeral in the highest position, therefore individual digit can be separated, then adopt BP(Back Propagation) neural network algorithm, can identify each numeral, and then identify ID (identity number) card No..
The present invention set up first I.D. standard feature Graph Character database, the method that the extraction employing of I.D. standard feature figure is the same with step S4 of storing before carrying out many I.D. scannings.
With reference to Figure 14, the present invention also provides a kind of many I.D.s scanister, comprising:
Scan module is used for many I.D.s in the scanning area are carried out duplex scanning and obtain comprising the scan image of direct picture and reverse side image; Here, scan module can carry out the scan components of front scan and reverse side scanning simultaneously for carrying out the scan components of duplex scanning;
The edge extracting module is used for scan image is carried out edge extracting;
Image collection module is used for that scan image after edge extracts positions, obtains the scan image of every I.D. behind cutting and the rotation correction;
Characteristic extracting module is used for the characteristic pattern that scan image to every I.D. carries out obtaining after the feature extraction scan image of every I.D.;
Judge and correction module, be used for the characteristic pattern of scan image that will every I.D. and store I.D. standard feature Graph Character database comparing, and then the scan image of every I.D. is carried out the orientation judge and directional correction, obtain the scan image after the correction of every I.D.;
The splicing processing module is used for direct picture and the reverse side image of the scan image after the correction of every I.D. are spliced rear output.
Be further used as preferred embodiment, after described edge extracting module adopts the Sobel edge detection operator that scan image is detected, extract the efficiency frontier of scan image.
Be further used as preferred embodiment, described characteristic extracting module is carried out the rectangular neighborhood minimization after adopting maximum variance between clusters to carry out binary conversion treatment to the scan image of every I.D. again, obtains the characteristic pattern of the scan image of every I.D..
Be further used as preferred embodiment, described splicing processing module comprises:
Concatenation unit is used for the scan image after the correction of every I.D. is processed, and its reverse side Image Mosaics is obtained the scanning document of every I.D. under direct picture or after the front-right;
The output processing unit is used for scanning document output and prints, perhaps with scanning document output and carry out the digitizing storage.
Be further used as preferred embodiment, described output processing unit is used for:
Scanning document is exported and printed, perhaps
From the direct picture after the correction of I.D., cut out the ID (identity number) card No. zone and it is done vertical projection, and then identify ID (identity number) card No., and utilize the ID (identity number) card No. that identifies that scanning document is named preservation.
The Sobel edge detection operator is a discreteness difference operator mainly as rim detection, is used for the approximate value of gradient of arithmograph image brightness function, and horizontal edge detects and adopts formula:
Vertical edge detects and adopts formula:
The maximum variance between clusters principle is:
Utilize threshold value that original image is divided into prospect, two images of background, wherein:
Prospect is illustrated respectively in the counting of prospect under the current threshold value, moment of mass, average gray with n1, csum, m1;
Background is illustrated respectively in the counting of background under the current threshold value, moment of mass, average gray with n2, sum-csum, m2;
When getting optimal threshold, background should be maximum with the prospect difference, and key is the standard of How to choose measurement difference, and this standard of weighing difference is exactly maximum between-cluster variance.
The principle of rectangular neighborhood minimization is: will replace the minimum value of the value of any with each point value in the rectangular neighborhood of this point.As shown in figure 11, with P(i, j) centered by point, take radius as 5 * 5 rectangle as 2 rectangular neighborhoods that form, to some P(i, a j) carry out the rectangular neighborhood minimization after, some P(i, j) value become minimum value in 5 * 5 the rectangular neighborhood.
The present invention also can be applicable in the scannings such as bank card, business card, check, as long as set up the characteristic of correspondence database.
More than be that better enforcement of the present invention is specified, but the invention is not limited to described embodiment, those of ordinary skill in the art also can make all equivalent variations or replacement under the prerequisite of spirit of the present invention, the modification that these are equal to or replacement all are included in the application's claim limited range.
Claims (10)
1. I.D. scan method more than a kind is characterized in that, comprising:
S1, many I.D.s in the scanning area are carried out duplex scanning and obtain comprising the scan image of direct picture and reverse side image;
S2, scan image is carried out edge extracting;
Scan image after S3, edge extract positions, obtain the scan image of every I.D. behind cutting and the rotation correction;
S4, the scan image of every I.D. carried out obtaining after the feature extraction characteristic pattern of the scan image of every I.D.;
S5, with the characteristic pattern of the scan image of every I.D. with store I.D. standard feature Graph Character database and compare, and then the scan image of every I.D. is carried out the orientation judge and directional correction, obtain the scan image after the correction of every I.D.;
S6, the direct picture in the scan image after the correction of every I.D. and reverse side image are spliced rear output.
2. a kind of many I.D.s scan method according to claim 1 is characterized in that, described step S2, and it is specially:
After adopting the Sobel edge detection operator that scan image is detected, extract the efficiency frontier of scan image.
3. a kind of many I.D.s scan method according to claim 1 is characterized in that, described step S4, and it is specially:
After adopting maximum variance between clusters to carry out binary conversion treatment to the scan image of every I.D., carry out again the rectangular neighborhood minimization, obtain the characteristic pattern of the scan image of every I.D..
4. a kind of many I.D.s scan method according to claim 1 is characterized in that, described step S6 comprises:
S11, the scan image after the correction of every I.D. is processed, its reverse side Image Mosaics is obtained the scanning document of every I.D. under direct picture or after the front-right;
S12, with scanning document output and print, perhaps
With scanning document output and carry out the digitizing storage.
5. a kind of many I.D.s scan method according to claim 4 is characterized in that, described step S12, and it is specially:
Scanning document is exported and printed, perhaps
From the direct picture after the correction of I.D., cut out the ID (identity number) card No. zone and it is done vertical projection, and then identify ID (identity number) card No., and utilize the ID (identity number) card No. that identifies that scanning document is named preservation.
6. I.D. scanister more than a kind is characterized in that, comprising:
Scan module is used for many I.D.s in the scanning area are carried out duplex scanning and obtain comprising the scan image of direct picture and reverse side image;
The edge extracting module is used for scan image is carried out edge extracting;
Image collection module is used for that scan image after edge extracts positions, obtains the scan image of every I.D. behind cutting and the rotation correction;
Characteristic extracting module is used for the characteristic pattern that scan image to every I.D. carries out obtaining after the feature extraction scan image of every I.D.;
Judge and correction module, be used for the characteristic pattern of scan image that will every I.D. and store I.D. standard feature Graph Character database comparing, and then the scan image of every I.D. is carried out the orientation judge and directional correction, obtain the scan image after the correction of every I.D.;
The splicing processing module is used for direct picture and the reverse side image of the scan image after the correction of every I.D. are spliced rear output.
7. a kind of many I.D.s scanister according to claim 6 is characterized in that, after described edge extracting module adopts the Sobel edge detection operator that scan image is detected, extracts the efficiency frontier of scan image.
8. a kind of many I.D.s scanister according to claim 6, it is characterized in that, after described characteristic extracting module adopts maximum variance between clusters to carry out binary conversion treatment to the scan image of every I.D., carry out again the rectangular neighborhood minimization, obtain the characteristic pattern of the scan image of every I.D..
9. a kind of many I.D.s scanister according to claim 6 is characterized in that, described splicing processing module comprises:
Concatenation unit is used for the scan image after the correction of every I.D. is processed, and its reverse side Image Mosaics is obtained the scanning document of every I.D. under direct picture or after the front-right;
The output processing unit is used for scanning document output and prints, perhaps with scanning document output and carry out the digitizing storage.
10. a kind of many I.D.s scanister according to claim 9 is characterized in that, described output processing unit is used for:
Scanning document is exported and printed, perhaps
From the direct picture after the correction of I.D., cut out the ID (identity number) card No. zone and it is done vertical projection, and then identify ID (identity number) card No., and utilize the ID (identity number) card No. that identifies that scanning document is named preservation.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103488998A (en) * | 2013-09-11 | 2014-01-01 | 东华大学 | Identity card recognition method based on neural network and image processing technology |
| CN104077767A (en) * | 2013-03-29 | 2014-10-01 | 北京千橡网景科技发展有限公司 | Method and device for detecting edge of business card |
| CN104217444A (en) * | 2013-06-03 | 2014-12-17 | 支付宝（中国）网络技术有限公司 | Card area positioning method and equipment |
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| CN114511052A (en) * | 2022-01-21 | 2022-05-17 | 重庆市规划和自然资源信息中心 | System for realizing paperless handling of real estate registration window |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1329323A (en) * | 2001-07-31 | 2002-01-02 | 郭根龙 | Automatic scanning identification and management method for credentials and its system |
| CN101420497A (en) * | 2007-10-24 | 2009-04-29 | 东友科技股份有限公司 | Copy method for article with double side to be copied, and image processing apparatus thereof |
| CN101882214A (en) * | 2010-06-01 | 2010-11-10 | 福建新大陆电脑股份有限公司 | Method for determining directions of boundaries of bar code layers based on Hough transformation |
| CN101930594A (en) * | 2010-04-14 | 2010-12-29 | 山东山大鸥玛软件有限公司 | Rapid correction method for scanning document image |
-
2012
- 2012-09-19 CN CN201210350704.2A patent/CN102930265B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1329323A (en) * | 2001-07-31 | 2002-01-02 | 郭根龙 | Automatic scanning identification and management method for credentials and its system |
| CN101420497A (en) * | 2007-10-24 | 2009-04-29 | 东友科技股份有限公司 | Copy method for article with double side to be copied, and image processing apparatus thereof |
| CN101930594A (en) * | 2010-04-14 | 2010-12-29 | 山东山大鸥玛软件有限公司 | Rapid correction method for scanning document image |
| CN101882214A (en) * | 2010-06-01 | 2010-11-10 | 福建新大陆电脑股份有限公司 | Method for determining directions of boundaries of bar code layers based on Hough transformation |
Cited By (22)
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|---|---|---|---|---|
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| CN104217444A (en) * | 2013-06-03 | 2014-12-17 | 支付宝（中国）网络技术有限公司 | Card area positioning method and equipment |
| CN103488998A (en) * | 2013-09-11 | 2014-01-01 | 东华大学 | Identity card recognition method based on neural network and image processing technology |
| CN104883467A (en) * | 2014-02-28 | 2015-09-02 | 日本冲信息株式会社 | Image forming device and method thereof |
| CN104883467B (en) * | 2014-02-28 | 2019-01-11 | 日本冲信息株式会社 | Image forming apparatus and method |
| CN106341565A (en) * | 2015-07-10 | 2017-01-18 | 株式会社东芝 | Image Forming Apparatus And Image Forming Method For Both Side Copying |
| CN105528600A (en) * | 2015-10-30 | 2016-04-27 | 小米科技有限责任公司 | Region identification method and device |
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| CN106503740A (en) * | 2016-10-31 | 2017-03-15 | 北京奇艺世纪科技有限公司 | Picture classification method and device |
| CN106503740B (en) * | 2016-10-31 | 2019-07-09 | 北京奇艺世纪科技有限公司 | Picture classification method and device |
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