CN109145891B - Client, method for identifying identity card by client and system for identifying identity card - Google Patents
Client, method for identifying identity card by client and system for identifying identity card Download PDFInfo
- Publication number
- CN109145891B CN109145891B CN201810681721.1A CN201810681721A CN109145891B CN 109145891 B CN109145891 B CN 109145891B CN 201810681721 A CN201810681721 A CN 201810681721A CN 109145891 B CN109145891 B CN 109145891B
- Authority
- CN
- China
- Prior art keywords
- area
- identified
- identity card
- identifying
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/146—Aligning or centring of the image pick-up or image-field
- G06V30/1475—Inclination or skew detection or correction of characters or of image to be recognised
- G06V30/1478—Inclination or skew detection or correction of characters or of image to be recognised of characters or characters lines
Abstract
The invention discloses a client, a method for identifying an identity card by the client and a system for identifying the identity card. The method for identifying the identity card by the client comprises the following steps: receiving an identity card image in real time; identifying the first area according to the first preset set; the first preset set is stored in the client and comprises pictures used for representing the number of each identity card, and the first area is an area located at a preset position of the identity card image; if the identification card number is successfully identified, determining a region to be identified in the identification card image according to a preset position; and sending the information related to the area to be identified to a server, wherein the server is used for identifying the content in the area to be identified according to the received information. Compared with the prior art, the identification method and the identification device have the advantages that the client side is used for identifying the identity card number, the area to be identified is determined according to the position of the identity card number after successful identification, the server side is used for identifying the content in the area to be identified, the identification efficiency and accuracy are improved, and the user experience is improved.
Description
Technical Field
The invention relates to the field of computers, in particular to a client and a method for identifying an identity card thereof, and also relates to a system for identifying the identity card.
Background
With the rapid development of computers and the internet, more and more users choose to shop on the internet, for example, to purchase travel products, train tickets, airline tickets, and the like. In the prior art, a user needs to fill in identity information such as names, identification card numbers and the like manually in the ordering process, and the defects of long time consumption, high error rate and the like exist.
In order to solve the above problems in the prior art, there is a method for automatically identifying an identity card at present, specifically, an identity card image is received by a client, for example, a user uploads the identity card image to the client, or the client is used to shoot the identity card to obtain the identity card image; secondly, the client side sends the identity card image to a server side; and finally, identifying the content in the identity card image by the server. Once the identification card is not properly aligned, the information in the identification card is presented in an oblique manner or incompletely in the identification card image, the efficiency and accuracy of the server-side identification are reduced, and even the identification may not be possible.
Disclosure of Invention
The invention aims to overcome the defects of low identification efficiency and accuracy and even incapability of identifying in the prior art, and provides a client, an identification card identification method thereof and an identification card identification system.
The invention solves the technical problems through the following technical scheme:
the first aspect of the present invention provides a method for a client to identify an identity card, comprising the following steps:
receiving an identity card image in real time; the identity card image is an image shot by the identity card;
identifying the first area according to the first preset set; the first preset set is stored in the client and comprises pictures used for representing the number of each identity card, and the first area is an area located at a preset position of the identity card image;
if the identification card number is successfully identified, determining an area to be identified in the identification card image according to the preset position;
and sending the information related to the area to be identified to a server, wherein the server is used for identifying the content in the area to be identified according to the received information.
Optionally, the step of identifying the first region according to the first preset set specifically includes:
carrying out binarization processing on the first area;
intercepting a preset number of first sub-areas from the first area according to the processing result, and respectively matching each first sub-area with the pictures in a first preset set;
if all the first sub-areas are successfully matched, the ID card number is successfully identified.
Optionally, the information related to the area to be recognized includes the identification card image and a position of the area to be recognized in the identification card image.
Optionally, the step of sending the information related to the area to be identified to the server specifically includes:
extracting image features of the region to be identified;
and if the image characteristics accord with preset conditions, sending information related to the area to be identified to a server.
Optionally, the following steps are further included between the step of receiving the identification card image and the step of identifying the first area according to the first preset set;
and performing inclination correction on the identity card image.
Optionally, the area to be identified is any one of the following: name area, ethnic area, date of birth area, address area.
A second aspect of the present invention provides a client, comprising:
a memory for storing a computer program;
and a processor for executing the computer program to implement any of the methods described above.
A third aspect of the present invention provides a system for identifying an identity card, which includes a server and the client as described above.
The fourth aspect of the present invention provides another system for identifying an identity card, comprising a client and a server;
the client comprises:
the receiving unit is used for receiving the identity card image in real time; the identity card image is an image shot by the identity card;
the first identification unit is used for identifying the first area according to a first preset set; the first preset set is stored in the client and comprises pictures used for representing the number of each identity card, and the first area is an area located at a preset position of the identity card image;
the determining unit is used for determining an area to be identified in the identity card image according to the preset position after the identity card number is successfully identified;
the extraction unit is used for extracting the image characteristics of the area to be identified;
the sending unit is used for sending the information related to the area to be identified to the server side under the condition that the image characteristics accord with preset conditions;
and the server is used for identifying the content in the area to be identified according to the received information.
Optionally, the server includes:
the processing unit is used for carrying out binarization processing on the area to be identified according to the received information;
the intercepting unit is used for intercepting at least one second sub-area from the area to be identified according to the processing result of the processing unit;
the second identification unit is used for respectively matching each second sub-area with the pictures in the second preset set, and successfully identifying the content in the area to be identified under the condition that all the second sub-areas are successfully matched;
the second preset set is stored in the server and comprises pictures used for representing a plurality of Chinese characters.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows: compared with the prior art, the identification card number is identified by the client, the identification card number is specifically identified by using the first preset set stored in the client, the area to be identified is determined according to the preset position, namely the position of the identification card number in the identification card image after the identification card number is successfully identified, finally, the information related to the area to be identified is sent to the server, and the content in the area to be identified is identified by the server. According to the method and the device, the client side is used for identifying the identity card number, the area to be identified is determined according to the accurate position of the identity card number in the identity card image after the identity card number is successfully identified, the accuracy of the area to be identified is improved, the server side is used for identifying the content in the area to be identified, the identification efficiency and accuracy are improved, and the user experience is improved.
Drawings
Fig. 1 is a flowchart of a method for a client to identify an identity card according to an embodiment of the present invention.
Fig. 2 is a block diagram of a system for identifying an identity card according to an embodiment of the present invention.
Fig. 3 is a block diagram of another system for identifying an identification card according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
In the invention, the client identifies the ID card number on the ID card, determines the area to be identified, and the server identifies the content in the area to be identified. For example, when the area to be identified is a name area, the server identifies a specific name.
The embodiment provides a method for identifying an identity card by a client, as shown in fig. 1, including the following steps:
The identity card image is an image shot by the identity card.
In this embodiment, the identity card image received in real time is an image of the client shooting the identity card. In practical application, the client outputs an interface for guiding a user to place the identity card in a target area, and shoots the identity card in real time.
Because the user has strong randomness in placing the identity card, the images shot by the client inevitably incline. In an optional embodiment, in order to improve the accuracy of identifying the identity card, between step 101 and step 102, the method further includes: and performing inclination correction on the identity card image.
And 102, identifying the first area according to the first preset set.
The first preset set is stored in the client and comprises pictures used for representing the number of each identity card, and the first area is an area located at a preset position of the identity card image.
In the first preset set, one or more pictures for representing one identification number may be provided. In practical applications, in order to increase the recognition rate, a plurality of pictures are generally used to represent one id number. As a specific example, 258 pictures can be taken, and the content of the 258 pictures is the number "3", but each picture is not exactly the same, for example, the number "3" has different inclination, or each picture has different exposure, contrast and/or brightness, and so on.
It should be noted that the preset position of the identification card image corresponds to the position of the identification card number on the identification card, and is generally the lower right corner.
In an optional embodiment, step 102 specifically includes the following steps:
step 1021, binarization processing is performed on the first area.
Step 1022, intercepting a preset number of first sub-regions from the first region according to the processing result, and respectively matching each first sub-region with the pictures in the first preset set.
If all the first sub-areas are successfully matched, the identity card number is successfully identified, otherwise, the identity card number cannot be identified.
In an alternative embodiment, the preset number is 18, and the content in the first sub-area is an arabic number or letter X ranging from 0 to 9. If all the 18 first sub-areas are successfully matched, the 18-bit identity card number is successfully identified, and once 1 first sub-area is not successfully matched, the identity card number cannot be identified.
And 103, if the identification card number is successfully identified, determining the area to be identified in the identification card image according to the preset position. In the embodiment, the area to be identified is determined according to the accurate position of the identity card number in the identity card image, so that the finally determined area to be identified has higher accuracy.
In an alternative embodiment, the area to be identified is a name area, a ethnic area, a birth date area, or an address area.
In an optional embodiment, in order to further improve the accuracy of the region to be recognized, the region to be recognized is determined by combining a preset position and the position of the face in the identification card image. The position of the face in the identity card image can be determined by adopting a method for determining the position of the face in the prior art.
It should be noted that the method for determining the region to be identified in step 103 is the prior art, and may be determined by using a regression function, for example, or may be determined by using a gray level projection in the X direction.
And 104, sending the information related to the area to be identified to a server.
The server is used for identifying the content in the area to be identified according to the received information.
The content of the area to be identified determined by the client may have a phenomenon of blocking or severe exposure, for example, the name of the name area is severely exposed and cannot be identified at all. In an optional implementation manner, the client analyzes the image features of the area to be recognized, and if the phenomenon or other phenomena causing the content to be unrecognized exist, no information is sent to the server, so that the resource waste of the server is avoided. In this embodiment, step 104 specifically includes the following steps:
and 1041, extracting image features of the area to be identified.
Step 1042, if the image features meet preset conditions, sending information related to the area to be identified to a server.
In step 1042, if the image feature does not meet the preset condition, no information is sent to the server. At this point, the client discards the currently processed id card image and starts to perform step 102 on the next received id card image.
The preset condition may be any condition that the recognition rate of the content of the area to be recognized reaches a certain threshold. In addition, if the method of extracting the image features of the region to be recognized is different, the preset conditions may also be different.
In an alternative embodiment, the histogram equalization method is used to extract the image features of the region to be identified. Histogram equalization is a method in the field of image processing that uses image histograms to adjust contrast, and is commonly used to increase the global contrast of many images, especially when the contrast of the useful data of the images is relatively close. In this way, the luminance can be better distributed over the histogram. This can be used to enhance local contrast without affecting overall contrast, and histogram equalization accomplishes this by effectively extending the commonly used luminance. This method is very useful for images where the background and foreground are either too bright or too dark, especially to bring about better visualization of the bone structures in the X-ray image and better detail in the overexposed or underexposed photographs. A major advantage of this method is that it is a rather intuitive technique and a reversible operation, if the equalization function is known, the original histogram can be recovered and the amount of computation is not large.
In an optional embodiment, the information related to the area to be recognized includes the identification card image and the position of the area to be recognized in the identification card image. In this embodiment, the server identifies the content in the area to be identified according to the identity card image and the position of the area to be identified on the identity card image.
In another optional embodiment, the information related to the area to be identified includes the area to be identified. In this embodiment, the client directly sends the area to be identified to the server, and the server identifies the content in the area to be identified.
The present embodiment provides a client, including:
a memory for storing a computer program;
and a processor for executing the computer program to implement the method according to the above embodiment.
The embodiment provides a system for identifying an identity card, which comprises a server and the client described in the embodiment.
The embodiment also provides a system 10 for identifying an identity card, as shown in fig. 2, including a client 20 and a server 30.
The client 20 includes:
a receiving unit 21, configured to receive an identity card image in real time; the identity card image is an image shot by the identity card;
a first identifying unit 22, configured to identify the first area according to a first preset set; the first preset set is stored in the client and comprises pictures used for representing the number of each identity card, and the first area is an area located at a preset position of the identity card image;
the determining unit 23 is configured to determine, according to the preset position, an area to be identified in the identity card image after the identity card number is successfully identified;
an extracting unit 24, configured to extract image features of the region to be identified;
the sending unit 25 is used for sending the information related to the area to be identified to the server side under the condition that the image characteristics meet preset conditions;
the server 30 is configured to identify the content in the area to be identified according to the received information.
In an alternative embodiment, as shown in fig. 3, the server 30 includes:
a processing unit 31, configured to perform binarization processing on the to-be-identified region according to the received information;
an intercepting unit 32, configured to intercept at least one second sub-area from the area to be identified according to the processing result of the processing unit 31;
the second identification unit 33 is configured to match each second sub-region with a picture in a second preset set, and successfully identify the content in the region to be identified when all the second sub-regions are successfully matched;
the second preset set is stored in the server 30 and includes pictures for representing a plurality of chinese characters.
In an alternative embodiment, the area to be identified is a name area, a national area, or an address area.
In an alternative embodiment, the area to be identified is a birth date area, and the second preset set includes pictures for representing numbers.
In the embodiment, the client side is used for identifying the identity card number, the area to be identified is determined according to the accurate position of the identity card number in the identity card image after the identity card number is successfully identified, the accuracy of the area to be identified is improved, the server side is used for identifying the content in the area to be identified, the identification efficiency and accuracy are improved, and the user experience is improved. In addition, the client side carries out image feature judgment on the to-be-identified area, screens out the to-be-identified area which does not accord with the preset condition, and further improves the accuracy of the server side in identification of the identity card.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (9)
1. A method for identifying an identity card by a client is characterized by comprising the following steps:
receiving an identity card image in real time; the identity card image is an image shot by the identity card;
identifying the first area according to the first preset set; the first preset set is stored in the client and comprises pictures used for representing the number of each identity card, and the first area is an area located at a preset position of the identity card image;
if the identification card number is successfully identified, determining a region to be identified in the identification card image according to the preset position;
extracting image features of the region to be identified;
if the image characteristics meet preset conditions, sending information related to the area to be identified to a server, wherein the server is used for identifying the content in the area to be identified according to the received information; and if the image characteristics do not meet the preset conditions, not sending any information to the server.
2. The method according to claim 1, wherein the step of identifying the first area according to the first preset set specifically comprises:
carrying out binarization processing on the first area;
intercepting a preset number of first sub-areas from the first area according to the processing result, and respectively matching each first sub-area with the pictures in a first preset set;
and if all the first sub-areas are successfully matched, the ID card number is successfully identified.
3. The method of claim 1, wherein the information related to the area to be identified comprises the identification card image and a location of the area to be identified in the identification card image.
4. The method of claim 1, further comprising, between the step of receiving an identification card image and the step of identifying a first region according to a first preset set, the steps of;
and performing inclination correction on the identity card image.
5. The method according to any one of claims 1-4, wherein the area to be identified is any one of: name area, ethnic area, date of birth area, address area.
6. A client, comprising:
a memory for storing a computer program;
and a processor for executing the computer program to implement the method of any one of claims 1-5.
7. A system for identifying an identity card, comprising a server and a client according to claim 6.
8. A system for identifying an identity card is characterized by comprising a client and a server;
the client comprises:
the receiving unit is used for receiving the identity card image in real time; the identity card image is an image shot by the identity card;
the first identification unit is used for identifying the first area according to a first preset set; the first preset set is stored in the client and comprises pictures used for representing the number of each identity card, and the first area is an area located at a preset position of the identity card image;
the determining unit is used for determining an area to be identified in the identity card image according to the preset position after the identity card number is successfully identified;
the extraction unit is used for extracting the image characteristics of the area to be identified;
the sending unit is used for sending the information related to the area to be identified to the server side under the condition that the image characteristics accord with preset conditions; the sending unit is also used for not sending any information to the server under the condition that the image characteristics do not accord with the preset conditions;
and the server is used for identifying the content in the area to be identified according to the received information.
9. The system of claim 8, wherein the server comprises:
the processing unit is used for carrying out binarization processing on the area to be identified according to the received information;
the intercepting unit is used for intercepting at least one second sub-area from the area to be identified according to the processing result of the processing unit;
the second identification unit is used for respectively matching each second sub-area with the pictures in the second preset set, and successfully identifying the content in the area to be identified under the condition that all the second sub-areas are successfully matched;
the second preset set is stored in the server and comprises pictures used for representing a plurality of Chinese characters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810681721.1A CN109145891B (en) | 2018-06-27 | 2018-06-27 | Client, method for identifying identity card by client and system for identifying identity card |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810681721.1A CN109145891B (en) | 2018-06-27 | 2018-06-27 | Client, method for identifying identity card by client and system for identifying identity card |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109145891A CN109145891A (en) | 2019-01-04 |
| CN109145891B true CN109145891B (en) | 2022-08-02 |
Family
ID=64802384
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810681721.1A Active CN109145891B (en) | 2018-06-27 | 2018-06-27 | Client, method for identifying identity card by client and system for identifying identity card |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109145891B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111898602B (en) * | 2020-08-10 | 2024-04-16 | 赞同科技股份有限公司 | Method, device and equipment for identifying certificate number area in image |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102999552A (en) * | 2012-10-09 | 2013-03-27 | 成都因纳伟盛科技股份有限公司 | Multi-keyword certificate information quick inquiring method |
| CN103020107A (en) * | 2012-10-09 | 2013-04-03 | 成都因纳伟盛科技股份有限公司 | Multifunctional and intelligent certificate access management method |
| CN103488984A (en) * | 2013-10-11 | 2014-01-01 | 从兴技术有限公司 | Method and device for identifying second-generation identity cards based on intelligent mobile equipment |
| CN104408485A (en) * | 2009-09-25 | 2015-03-11 | 丽水职业技术学院 | Identity card and reading-writing device thereof |
| CN105205427A (en) * | 2015-08-28 | 2015-12-30 | 深圳市泰久信息系统股份有限公司 | Identity card information storage and recognition method |
| CN105701488A (en) * | 2016-01-01 | 2016-06-22 | 广州恒巨信息科技有限公司 | Identity card identification method |
| WO2017010058A1 (en) * | 2015-07-14 | 2017-01-19 | パナソニックＩｐマネジメント株式会社 | Identification medium recognition device and identification medium recognition method |
| CN106529520A (en) * | 2016-10-09 | 2017-03-22 | 中国传媒大学 | Marathon match associated photo management method based on athlete number identification |
| CN106650758A (en) * | 2016-06-29 | 2017-05-10 | 汉寿县公安局 | Identity card information decoding method based on image segmenting technology |
| CN107292305A (en) * | 2017-06-20 | 2017-10-24 | 北京小米移动软件有限公司 | Character rotation method and device |
| CN107665354A (en) * | 2017-09-19 | 2018-02-06 | 北京小米移动软件有限公司 | Identify the method and device of identity card |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150286922A1 (en) * | 2008-02-28 | 2015-10-08 | Ivi Holdings Ltd. | Biometric identity verification system and method |
| MX2012013840A (en) * | 2010-05-28 | 2013-06-24 | Swiss Technical Electronics Ste Holding Ag | Method and devices for creating and using an identification document that can be displayed on a mobile device. |
| CN106156712A (en) * | 2015-04-23 | 2016-11-23 | 信帧电子技术（北京）有限公司 | A kind of based on the ID (identity number) card No. recognition methods under natural scene and device |
| CN105528602A (en) * | 2015-10-30 | 2016-04-27 | 小米科技有限责任公司 | Region identification method and device |
| CN105528606B (en) * | 2015-10-30 | 2019-08-06 | 小米科技有限责任公司 | Area recognizing method and device |
| CN106886774A (en) * | 2015-12-16 | 2017-06-23 | 腾讯科技（深圳）有限公司 | The method and apparatus for recognizing ID card information |
| CN107239786B (en) * | 2016-03-29 | 2022-01-11 | 阿里巴巴集团控股有限公司 | Character recognition method and device |
| CN106778748A (en) * | 2016-12-30 | 2017-05-31 | 江西憶源多媒体科技有限公司 | Identity card method for quickly identifying and its device based on artificial neural network |
| CN107247936A (en) * | 2017-05-31 | 2017-10-13 | 北京小米移动软件有限公司 | Image-recognizing method and device |
| CN107346427A (en) * | 2017-06-23 | 2017-11-14 | 浙江大华技术股份有限公司 | A kind of ID card No. recognition methods and device |
-
2018
- 2018-06-27 CN CN201810681721.1A patent/CN109145891B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104408485A (en) * | 2009-09-25 | 2015-03-11 | 丽水职业技术学院 | Identity card and reading-writing device thereof |
| CN102999552A (en) * | 2012-10-09 | 2013-03-27 | 成都因纳伟盛科技股份有限公司 | Multi-keyword certificate information quick inquiring method |
| CN103020107A (en) * | 2012-10-09 | 2013-04-03 | 成都因纳伟盛科技股份有限公司 | Multifunctional and intelligent certificate access management method |
| CN103488984A (en) * | 2013-10-11 | 2014-01-01 | 从兴技术有限公司 | Method and device for identifying second-generation identity cards based on intelligent mobile equipment |
| WO2017010058A1 (en) * | 2015-07-14 | 2017-01-19 | パナソニックＩｐマネジメント株式会社 | Identification medium recognition device and identification medium recognition method |
| CN105205427A (en) * | 2015-08-28 | 2015-12-30 | 深圳市泰久信息系统股份有限公司 | Identity card information storage and recognition method |
| CN105701488A (en) * | 2016-01-01 | 2016-06-22 | 广州恒巨信息科技有限公司 | Identity card identification method |
| CN106650758A (en) * | 2016-06-29 | 2017-05-10 | 汉寿县公安局 | Identity card information decoding method based on image segmenting technology |
| CN106529520A (en) * | 2016-10-09 | 2017-03-22 | 中国传媒大学 | Marathon match associated photo management method based on athlete number identification |
| CN107292305A (en) * | 2017-06-20 | 2017-10-24 | 北京小米移动软件有限公司 | Character rotation method and device |
| CN107665354A (en) * | 2017-09-19 | 2018-02-06 | 北京小米移动软件有限公司 | Identify the method and device of identity card |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109145891A (en) | 2019-01-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020098250A1 (en) | Character recognition method, server, and computer readable storage medium | |
| CN110569878B (en) | Photograph background similarity clustering method based on convolutional neural network and computer | |
| WO2018010657A1 (en) | Structured text detection method and system, and computing device | |
| WO2019109526A1 (en) | Method and device for age recognition of face image, storage medium | |
| US20200410074A1 (en) | Identity authentication method and apparatus, electronic device, and storage medium | |
| US11423633B2 (en) | Image processing to detect a rectangular object | |
| WO2019061658A1 (en) | Method and device for positioning eyeglass, and storage medium | |
| CN111669612B (en) | Live broadcast-based information delivery method and device and computer-readable storage medium | |
| JP2016523397A (en) | Method and system for information recognition | |
| US11727707B2 (en) | Automatic image capture system based on a determination and verification of a physical object size in a captured image | |
| CN109255300B (en) | Bill information extraction method, bill information extraction device, computer equipment and storage medium | |
| EP2146316A1 (en) | Registering device, checking device, program, and data structure | |
| JP5832656B2 (en) | Method and apparatus for facilitating detection of text in an image | |
| CN105678301B (en) | method, system and device for automatically identifying and segmenting text image | |
| CN115641594A (en) | OCR technology-based identification card recognition method, storage medium and device | |
| CN109145891B (en) | Client, method for identifying identity card by client and system for identifying identity card | |
| CN109492532A (en) | A kind of methods, devices and systems of image AI identification | |
| JP6195252B2 (en) | Mobile device for financial document transactions | |
| WO2018121552A1 (en) | Palmprint data based service processing method, apparatus and program, and medium | |
| CN112418243A (en) | Feature extraction method and device and electronic equipment | |
| CN111080546A (en) | Picture processing method and device | |
| CN108304840B (en) | Image data processing method and device | |
| JP2017162179A (en) | Information processing apparatus, information processing method, and program | |
| CN113159037B (en) | Picture correction method, device, computer equipment and storage medium | |
| CN112102205B (en) | Image deblurring method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |