CN101667251A - OCR recognition method and device with auxiliary positioning function - Google Patents
OCR recognition method and device with auxiliary positioning function Download PDFInfo
- Publication number
- CN101667251A CN101667251A CN200810215861A CN200810215861A CN101667251A CN 101667251 A CN101667251 A CN 101667251A CN 200810215861 A CN200810215861 A CN 200810215861A CN 200810215861 A CN200810215861 A CN 200810215861A CN 101667251 A CN101667251 A CN 101667251A
- Authority
- CN
- China
- Prior art keywords
- text
- image
- literal
- text filed
- user
- 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.)
- Granted
Links
Images
Abstract
The invention relates to an OCR recognition method with an auxiliary positioning function. The method comprises the following steps: shooting a target and capturing an image containing characters; searching areas of the image and detecting out one or more text areas; selecting a specific text area; and recognizing characters in the selected specific text area. By using the method and a device of the invention, a user can automatically obtain the text areas in the image, and obtain the interested text areas in an interactive mode so as to carry out applications such as character recognition, translation, and the like. The invention can be applied to ordinary character scenes such as the automatic recognition and the translation of guideboards, public notices, newspaper, and the like, and isparticularly suitable for a mobile terminal with the function of a camera. The invention can facilitate the use of the user without complicated auxiliary operations and interactions, reduces the searching range of the image, automatically obtains the text areas interested by the users, reduces the calculating operation time of a system and can improve the accuracy rate of positioning.
Description
Technical field
The present invention relates to text detection and location in Flame Image Process and area of pattern recognition, particularly video and the natural scene, character recognition.
Background technology
Now the OCR technology is applied on the equipment such as the mobile intelligent terminal that has image scanning (or shooting) function and PDA more and more, but because often background is comparatively complicated during as video image, on the text orientation problem before the OCR, also exist certain technological difficulties, cause the result of text location deviation to occur, can not make things convenient for the character that detects required identification exactly, or text filedly be divided into a plurality of relevant text subregions mistakenly to one, influence the continuity and the computing cost of OCR recognition result, it is on the low side to add the literal discrimination, cause final result (as translation) not really desirable, thereby the mode that at this time just need carry out some auxiliary positioning improve literal locating accuracy and recognition accuracy.
The basic process of present image (or video) text identification, at first by text image (or certain two field picture in the video) to being collected, carry out the pre-service (strengthening filtering etc.) of image, and the analysis of the space of a whole page and understanding, detect and orient text filed with this, again each is text filedly carried out character recognition, further can do operations such as postprocessing correction recognition result, wherein " text filed location " directly influences final recognition result, and the counting yield of total system.
Existing OCR functional mobile phone carries out Sino-British intertranslation by camera scan text literal, at first needs when the user uses the camera on the mobile phone is aimed at the literal center, and mobile phone and literal vertical range are more than 10 centimetres; The user focuses by navigation key on the mobile phone; The height that need guarantee literal to be identified is higher than the height that shows focusing symbol "+"; If the Chinese text of vertical setting of types need be selected " vertical setting of types text " in menu.In the interface of operation, the bar that " highlighted " can occur brings to be identified text filed in location, and the literal in this banded zone is discerned and translated.This method adopts the bar of " highlighted " to bring to be identified text filed of auxiliary positioning, need the user that the camera on the mobile phone is aimed at the literal center, and need that mobile phone is vertical with literal to be maintained a certain distance, if need the user to do special setting when discerning vertical setting of types text filed, a lot of restrictions is arranged for user's operation, system can not carry out text filed location automatically, and the time of operation is long.
[CN 1804858 A] are a kind of portable terminals that is used to camera, implement the assistant positioning system at literal to be identified of OCR function, this method makes on the screen tracking cross can occur, user's moving cursor, can make the initial point of cursor be positioned to be identified text filed, come auxiliary positioning with this, simultaneously can adjust the base of character zone to be identified and the transverse axis of tracking cross, the base of character zone to be identified and the longitudinal axis of tracking cross are perpendicular, be used for preventing taking, improve discrimination.This method adopts tracking cross, come auxiliary positioning to be identified text filed, the transverse axis of adjusting tracking cross is parallel to each other with vertical with the longitudinal axis and the base of character zone to be identified, be used for preventing the inclination of literal, need the user carefully to adjust the position of cursor, and can only locate at every turn one text filed, the working time of whole location and identification is longer.
[CN 1685358 A] propose a kind of in image the method in localization of text zone automatically, the step handlebar digital picture that comprises is converted into bianry image; Locate possible text filed; Selection actual text zone; Its feature in text filed positioning step is, the applied morphology mask, and with to the operation of bianry image applied morphology, again according to some rules, in image, generating the sealing piece, thus the localization of text zone.This method adopts in whole image-regions, searches for the localization of text zone, and calculated amount is big and the location of some errorss and omissions can occur.
[US 7171046] propose a kind of method of discerning literal in the image of gathering, and the step that comprises has the image that uses the portable set collection that text message is arranged; Text filed in the detected image in real time; Adjust the result in text detection zone, use the OCR technology and carry out literal identification; Replenish relevant extrinsic information, comprise travel information, transport information etc.; Use dictionary technique to improve the result of OCR identification, export the text of identification and the information of replenishing, or translate further, and the pictograph detection and Identification system of this method of employing is realized in a portable equipment.The result of this method text filed location of manual setting before identification needs user's direct intervention, inconvenient user's direct use.
Summary of the invention
The purpose of this invention is to provide a kind of OCR recognition methods and device that possesses auxiliary positioning function.
According to an aspect of of the present present invention, a kind of OCR recognition methods that possesses auxiliary positioning function comprises step:
Target is taken and is captured the image that comprises literal;
Described image-region is searched for, detected one or more text filed;
Select specific text area;
Literal in the selecteed specific text area is discerned.
According to another aspect of the present invention, a kind of OCR recognition methods that possesses auxiliary positioning function comprises step:
Click on the screen and comprise text filed one or more points;
The image-region that includes click place is taken;
Photographic images is carried out text filed detection and location, and it is text filed to obtain the candidate;
Literal to the candidate in text filed carries out OCR identification.
According to another aspect of the present invention, a kind of OCR recognition device that possesses auxiliary positioning function comprises:
Image acquisition units is used to obtain the text image or the video that comprise literal;
The text detection positioning unit is used for detecting and orienting the text filed of image;
Word recognition unit is used for identifying the literal in selected zone;
Display unit is used to show the text image of collection, user's input, the result that text detection is located and literal is discerned;
Storage unit is used to store the required related data of each unit operation.
The method and apparatus of the application of the invention, the user can automatically obtain text filed in the image, and it is text filed to obtain user's interest by alternant way, carries out application such as literal identification and translation with this.The present invention can apply to common literal scene, such as guideboard, and bulletin, the automatic identification and the translation of newspapers etc. are particularly suitable for the portable terminal with camera function.The present invention can be user-friendly, do not need complicated non-productive operation and mutual, the hunting zone of downscaled images, and it is text filed automatically to obtain user's interest, reduces the calculating working time of system, and the accuracy rate that can improve the location.
Description of drawings
Fig. 1 is the OCR recognition device that possesses auxiliary positioning function;
Fig. 2 is the process flow diagram that the user selects text filed OCR recognition methods;
Fig. 3 is the process flow diagram that the user clicks the OCR recognition methods that contains character area.
Embodiment
The inventive system comprises interactive unit, operation processing unit and storage unit forms, interactive unit wherein is to gather the text image or the video of required identification, receive also explicit user click and select to wait the relevant information of operation, the user's input information that receives is sent to operation processing unit, and, comprise image acquisition units, display unit and user's input detection unit from operation processing unit reception and display message; Operation processing unit is to text image and user's input information from the interactive unit input, carry out text filed detection and location, and the literal in text filed discerned, comprise text detection positioning unit and word recognition unit, the wherein text filed circumscribed rectangular region that comprises one or more literal pieces that refers to.
Image acquisition units is to gather the text image or the video of required identification, such as camera, and the mobile phone of band camera function, notebook etc.;
Display unit is to be used to show text image to be identified or video, and the user clicks the relevant information of selection, text filed detection and positioning result, and the result of literal identification;
User's input detection unit is to be used to receive the user to click the relevant information of selecting to wait operation;
The detection and location unit is the information that receives according to from interactive unit, carries out text filed detection and location, exports corresponding text filed location coordinate information to word recognition unit;
Word recognition unit is text image and the location coordinate information that receives according to from interactive unit and detection and location unit, the literal in text filed is discerned, and exported to display unit;
Storage unit is used to store the required relevant information of each unit operation, and it comprises: text image to be identified, user click the relevant information of operations such as selection, text filed positioning result, the apparatus and method information needed such as result of literal identification.
In implementation process, select text filed OCR recognition methods to comprise based on the user: start image pickup mode, take and capture the image that comprises literal, this image can be low-resolution image; Image-region is searched for, carried out text filed detection and location, automatically the candidate's that obtains text filed prompting is come out; Text filed at the candidate who provides, the user selects text filed by the mode of click or moving focal point; Literal to selecteed candidate in text filed carries out OCR identification.
In implementation process, click the OCR recognition methods that contains character area based on the user and comprise: start image pickup mode, the user takes and captures character image by clicking screen, and this image can be low-resolution image; To including the image-region of click place, carry out text filed detection and location; To user prompting marked text filed, the user is by clicking or the mode of moving focal point, selects to be identified text filed; Literal to selecteed candidate in text filed, or to the candidate literal in text filed carries out OCR identification.
Below, describe embodiments of the invention with reference to the accompanying drawings in detail.In the following description, for clear and for simplicity, omitted detailed description to known function or structure.
This instructions for embodiment only for using one of specific embodiments of the invention, and do not mean that enforcement of the present invention only is confined to this a kind of form.
In this manual, comprise claim, the term of use " unit " is made of assembly, and " assembly " refers to the entity relevant with system of the present invention, or hardware, the combination of hardware and software, software, or executory software.For example, assembly can be, but is not limited to, and operates in thread, program and the computing machine of process on the processor, processor, object, the thing that can carry out, execution.As example, the application program that operates on the portable terminal can be an assembly.Assembly can comprise one or more assemblies in addition.
Term " comprises ", " comprising " or the similar terms meaning is that nonexclusion comprises, thereby comprises that the method for a row assembly or equipment not only comprise these assemblies, also comprise the assembly that other are unlisted.
Figure one is first advantageous embodiment of the present invention, possesses the OCR recognition device of auxiliary positioning function, and the input equipment of this device is a video capture device, output device be can the display graphics interface display device, show that in the present embodiment identification is touch-screen.
Image acquisition units 111 major functions are to gather text image or video, such as camera, the mobile phone of band camera function, notebook etc., when starting the OCR recognition device, the user can enable image acquisition units 111, image acquisition units 111 is exported on display unit 112 after obtaining image or video, and the user enters OCR identification or shooting again by the photograph taking and the selection of user's input detection unit 113 control image acquisition units 111.
The image that image acquisition units 111 is obtained, by text detection positioning unit 121, text filed on the detected image, perhaps click the zone of containing literal by user's input detection unit 113, by text detection positioning unit 121, detection includes text filed in the click place image, and the result that will detect exports on display unit 112, usually text filed testing result is represented with surrounding text filed rectangle, the user by graphical interfaces to the rectangle position, size, the editor of shape revises text filed testing result.
Select the text filed of candidates by user's input detection unit 113, the user can have and clicks or the mode of moving focal point, selects text filedly, and can select a plurality of text filed; Detected text filed through 122 identifications of literal recognition unit, promptly be converted into the machine code of corresponding language, such as Unicode, and on the graphical interfaces of display unit 112, show corresponding recognition result, the user can by graphical interfaces to recognition result delete accordingly, add, operation such as modification, further can carry out the translation of relational language.
Figure two is process flow diagrams that the user selects text filed OCR recognition methods, and the step that comprises is as follows:
1) under image pickup mode (S201), user press shutter and start focusing automatically, and the image (S202) that contains literal is taken and captured in the operation that camera is focused automatically, and this character image can be low-resolution image;
2) the above character image that obtains is carried out the search in global image zone, detect text filed (S203), and automatically be prompted to user (S204) with detected candidate is text filed, wherein adopt low-resolution image to carry out detection and location, by the experiment test on 6350 width of cloth images, the different resolution image of contrast 400*300 and 1024*768, have only the latter's 20% the former operation time approximately, improved the travelling speed of device;
3) text filed to the detected candidate of user's prompting, the user selects text filed (S205) by the mode of click or moving focal point, and supports to select a plurality of text filed;
4) according to the user select text filed, wherein literal is carried out OCR identification (S206), and can further translate.
Wherein step S201 and S202 can carry out in image acquisition units 111, step S203 can carry out in detection and location unit 121, step S204 can carry out in display unit 112, step S205 can carry out in user's input detection unit 113, and step S206 can carry out in word recognition unit 122.
Figure three is process flow diagrams that the user clicks the OCR recognition methods that contains character area, and the step that comprises is as follows:
1) under image pickup mode (S301), the user comprises a text filed point or a plurality of point (S302) by clicking on the screen, press shutter and start focusing automatically, the operation that camera is focused automatically, take and capture the image (S303) that contains literal, this character image can be low-resolution image, and shutter can click screen by the user and start, and the user can click a plurality of zones of screen simultaneously;
2) click the position coordinates of screen according to the user, the above image that obtains is handled: can begin search from the entire image zone, detect and contain the text filed of click coordinate; Also can carry out text filed detection (S304), and automatically be prompted to user (S305) with detected candidate is text filed to including the image-region that several clicks place are the center;
3) text filed to the detected candidate of user's prompting, the user selects text filed (S306) by the mode of click or moving focal point, and supports to select a plurality of text filed;
4) text filed (S305) that text filed (S306) that selects according to the user, or detection and location arrives, device carries out OCR identification (S307) to literal wherein, and can further translate.
Wherein step S301 and S303 can carry out in image acquisition units 111, step S304 can carry out in detection and location unit 121, step S305 can carry out in display unit 112, step S302 and S306 can carry out in user's input detection unit 113, and step S307 can carry out in word recognition unit 122.
Claims (17)
1. OCR recognition methods that possesses auxiliary positioning function comprises step:
Target is taken and is captured the image that comprises literal;
Described image-region is searched for, detected one or more text filed;
Select specific text area;
Literal in the selecteed specific text area is discerned.
2. according to the described method of claim 1, it is characterized in that the character image that captures is a low-resolution image.
3. according to the described method of claim 1, it is characterized in that obtaining to contain the image of literal by the mode of automatic focusing.
4. according to the described method of claim 1, it is characterized in that also comprising automatically the text filed user of being prompted to of detected candidate, and support to select a plurality of candidates text filed.
5. according to the described method of claim 1, it is characterized in that also comprising that the literal to after the identification translates.
6. OCR recognition methods that possesses auxiliary positioning function comprises step:
Click on the screen and comprise text filed one or more points;
The image-region that includes click place is taken;
Photographic images is carried out text filed detection and location, and it is text filed to obtain the candidate;
Literal to the candidate in text filed carries out OCR identification.
7. according to the described method of claim 6, it is characterized in that also comprising and select, selected literal in text filed is carried out OCR identification the candidate is text filed.
8. according to the described method of claim 6, it is characterized in that also comprising automatically the text filed user of being prompted to of detected candidate, and support to select a plurality of candidates text filed.
9. according to the described method of claim 6, it is characterized in that also comprising that the character image that captures is a low-resolution image.
10. according to the described method of claim 6, it is characterized in that also comprising that the literal to after the identification translates.
11. an OCR recognition device that possesses auxiliary positioning function comprises:
Image acquisition units is used to obtain the text image or the video that comprise literal;
The text detection positioning unit is used for detecting and orienting the text filed of image;
Word recognition unit is used for identifying the literal in selected zone;
Display unit is used to show the text image of collection, user's input, the result that text detection is located and literal is discerned;
Storage unit is used to store the required related data of each unit operation.
12. recognition device according to claim 11 is characterized in that also comprising:
User's input detection unit, be used for the user click select text filed.
13. recognition device according to claim 11 is characterized in that also comprising graphical interfaces, is used for display text detection on display device, literal identification and translation result.
14. recognition device according to claim 11 is characterized in that described recognition device is mobile phone, PDA, intelligent terminal, camera or translater.
15. recognition device according to claim 14 is characterized in that by clicking the shutter that screen starts camera.
16. device according to claim 14 is characterized in that the shutter by a plurality of zone startup cameras of clicking screen.
17. recognition device according to claim 11 is characterized in that described display unit is LCD display or touch-screen.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810215861.6A CN101667251B (en) | 2008-09-05 | 2008-09-05 | OCR recognition method and device with auxiliary positioning function |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810215861.6A CN101667251B (en) | 2008-09-05 | 2008-09-05 | OCR recognition method and device with auxiliary positioning function |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101667251A true CN101667251A (en) | 2010-03-10 |
| CN101667251B CN101667251B (en) | 2014-07-23 |
Family
ID=41803867
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200810215861.6A Active CN101667251B (en) | 2008-09-05 | 2008-09-05 | OCR recognition method and device with auxiliary positioning function |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101667251B (en) |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103186589A (en) * | 2011-12-30 | 2013-07-03 | 牟颖 | Method for quickly judging authenticity of medicament and alarming through mobile phone |
| CN103488630A (en) * | 2013-09-29 | 2014-01-01 | 小米科技有限责任公司 | Method, device and terminal for processing picture |
| CN103716453A (en) * | 2012-10-02 | 2014-04-09 | Lg电子株式会社 | Mobile terminal and control method for the mobile terminal |
| CN103902994A (en) * | 2012-12-28 | 2014-07-02 | 联想(北京)有限公司 | Processing method and electric equipment |
| CN104106078A (en) * | 2012-01-09 | 2014-10-15 | 高通股份有限公司 | Ocr cache update |
| CN104252475A (en) * | 2013-06-27 | 2014-12-31 | 腾讯科技（深圳）有限公司 | Method and device for positioning text messages in picture |
| CN104598289A (en) * | 2013-10-31 | 2015-05-06 | 联想(北京)有限公司 | Recognition method and electronic device |
| CN105516590A (en) * | 2015-12-11 | 2016-04-20 | 广东欧珀移动通信有限公司 | Picture processing method and device |
| CN105740863A (en) * | 2014-12-08 | 2016-07-06 | 阿里巴巴集团控股有限公司 | Information processing method and device |
| CN105739832A (en) * | 2016-03-10 | 2016-07-06 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN105760867A (en) * | 2016-02-19 | 2016-07-13 | 深圳市润农科技有限公司 | Method and device for extracting two-dimension code and/or text in image |
| CN105955626A (en) * | 2016-04-29 | 2016-09-21 | 广东小天才科技有限公司 | Photographing search method and device |
| CN106462574A (en) * | 2014-06-24 | 2017-02-22 | 谷歌公司 | Techniques for machine language translation of text from an image based on non-textual context information from the image |
| CN107305446A (en) * | 2016-04-25 | 2017-10-31 | 北京锤子数码科技有限公司 | The method and apparatus for obtaining keyword in pressure sensitive region |
| CN107885449A (en) * | 2017-11-09 | 2018-04-06 | 广东小天才科技有限公司 | One kind is taken pictures searching method, device, terminal device and storage medium |
| CN108604128A (en) * | 2016-12-16 | 2018-09-28 | 华为技术有限公司 | a kind of processing method and mobile device |
| CN108628858A (en) * | 2018-04-20 | 2018-10-09 | 广东科学技术职业学院 | The operating method and system of textual scan identification translation on line based on mobile terminal |
| CN109583443A (en) * | 2018-11-15 | 2019-04-05 | 四川长虹电器股份有限公司 | A kind of video content judgment method based on Text region |
| CN109887349A (en) * | 2019-04-12 | 2019-06-14 | 广东小天才科技有限公司 | A kind of dictation householder method and device |
| CN110245572A (en) * | 2019-05-20 | 2019-09-17 | 平安科技（深圳）有限公司 | Region content identification method, device, computer equipment and storage medium |
| CN111381683A (en) * | 2018-12-28 | 2020-07-07 | 薛康泰华 | Photographing recognition input method and software |
| CN112668886A (en) * | 2020-12-29 | 2021-04-16 | 深圳前海微众银行股份有限公司 | Method, device and equipment for monitoring risks of rental business and readable storage medium |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190629A (en) * | 2018-08-28 | 2019-01-11 | 传化智联股份有限公司 | A kind of electronics waybill generation method and device |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1606030A (en) * | 2004-11-12 | 2005-04-13 | 无敌科技(西安)有限公司 | Electronic photography translation paraphrasing method and apparatus |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004062350A (en) * | 2002-07-26 | 2004-02-26 | Fujitsu Ltd | Document information input program, document information input device, and document information input method |
| FR2843220B1 (en) * | 2002-07-31 | 2005-02-18 | Lyon Ecole Centrale | "METHOD AND SYSTEM FOR AUTOMATIC LOCATION OF TEXT AREAS IN AN IMAGE" |
| KR100714393B1 (en) * | 2005-09-16 | 2007-05-07 | 삼성전자주식회사 | Host device having extraction function of text and extraction method thereof |
-
2008
- 2008-09-05 CN CN200810215861.6A patent/CN101667251B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1606030A (en) * | 2004-11-12 | 2005-04-13 | 无敌科技(西安)有限公司 | Electronic photography translation paraphrasing method and apparatus |
Cited By (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103186589A (en) * | 2011-12-30 | 2013-07-03 | 牟颖 | Method for quickly judging authenticity of medicament and alarming through mobile phone |
| CN104106078A (en) * | 2012-01-09 | 2014-10-15 | 高通股份有限公司 | Ocr cache update |
| CN104106078B (en) * | 2012-01-09 | 2017-07-14 | 高通股份有限公司 | Optical character recognition OCR (OCR) cache memory updates |
| CN103716453A (en) * | 2012-10-02 | 2014-04-09 | Lg电子株式会社 | Mobile terminal and control method for the mobile terminal |
| CN103902994A (en) * | 2012-12-28 | 2014-07-02 | 联想(北京)有限公司 | Processing method and electric equipment |
| CN104252475B (en) * | 2013-06-27 | 2018-03-27 | 腾讯科技（深圳）有限公司 | Position the method and device of text in picture information |
| CN104252475A (en) * | 2013-06-27 | 2014-12-31 | 腾讯科技（深圳）有限公司 | Method and device for positioning text messages in picture |
| CN103488630B (en) * | 2013-09-29 | 2016-06-08 | 小米科技有限责任公司 | The processing method of a kind of image, device and terminal |
| CN103488630A (en) * | 2013-09-29 | 2014-01-01 | 小米科技有限责任公司 | Method, device and terminal for processing picture |
| CN104598289A (en) * | 2013-10-31 | 2015-05-06 | 联想(北京)有限公司 | Recognition method and electronic device |
| CN104598289B (en) * | 2013-10-31 | 2018-04-27 | 联想(北京)有限公司 | A kind of recognition methods and a kind of electronic equipment |
| CN106462574B (en) * | 2014-06-24 | 2019-07-12 | 谷歌有限责任公司 | The method and server of machine language translation for the text from image |
| CN106462574A (en) * | 2014-06-24 | 2017-02-22 | 谷歌公司 | Techniques for machine language translation of text from an image based on non-textual context information from the image |
| CN105740863A (en) * | 2014-12-08 | 2016-07-06 | 阿里巴巴集团控股有限公司 | Information processing method and device |
| CN105516590A (en) * | 2015-12-11 | 2016-04-20 | 广东欧珀移动通信有限公司 | Picture processing method and device |
| CN105516590B (en) * | 2015-12-11 | 2019-04-16 | Oppo广东移动通信有限公司 | A kind of image processing method and device |
| CN105760867A (en) * | 2016-02-19 | 2016-07-13 | 深圳市润农科技有限公司 | Method and device for extracting two-dimension code and/or text in image |
| CN105739832A (en) * | 2016-03-10 | 2016-07-06 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN107305446A (en) * | 2016-04-25 | 2017-10-31 | 北京锤子数码科技有限公司 | The method and apparatus for obtaining keyword in pressure sensitive region |
| CN107305446B (en) * | 2016-04-25 | 2020-08-14 | 北京字节跳动网络技术有限公司 | Method and device for acquiring keywords in pressure sensing area |
| CN105955626A (en) * | 2016-04-29 | 2016-09-21 | 广东小天才科技有限公司 | Photographing search method and device |
| CN105955626B (en) * | 2016-04-29 | 2019-04-09 | 广东小天才科技有限公司 | It takes pictures the method and device of search |
| CN108604128A (en) * | 2016-12-16 | 2018-09-28 | 华为技术有限公司 | a kind of processing method and mobile device |
| CN108604128B (en) * | 2016-12-16 | 2021-03-30 | 华为技术有限公司 | Processing method and mobile device |
| CN107885449A (en) * | 2017-11-09 | 2018-04-06 | 广东小天才科技有限公司 | One kind is taken pictures searching method, device, terminal device and storage medium |
| CN107885449B (en) * | 2017-11-09 | 2020-01-03 | 广东小天才科技有限公司 | Photographing search method and device, terminal equipment and storage medium |
| CN108628858A (en) * | 2018-04-20 | 2018-10-09 | 广东科学技术职业学院 | The operating method and system of textual scan identification translation on line based on mobile terminal |
| CN109583443A (en) * | 2018-11-15 | 2019-04-05 | 四川长虹电器股份有限公司 | A kind of video content judgment method based on Text region |
| CN109583443B (en) * | 2018-11-15 | 2022-10-18 | 四川长虹电器股份有限公司 | Video content judgment method based on character recognition |
| CN111381683A (en) * | 2018-12-28 | 2020-07-07 | 薛康泰华 | Photographing recognition input method and software |
| CN109887349A (en) * | 2019-04-12 | 2019-06-14 | 广东小天才科技有限公司 | A kind of dictation householder method and device |
| CN110245572A (en) * | 2019-05-20 | 2019-09-17 | 平安科技（深圳）有限公司 | Region content identification method, device, computer equipment and storage medium |
| CN112668886A (en) * | 2020-12-29 | 2021-04-16 | 深圳前海微众银行股份有限公司 | Method, device and equipment for monitoring risks of rental business and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101667251B (en) | 2014-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101667251B (en) | OCR recognition method and device with auxiliary positioning function | |
| US9542612B2 (en) | Using extracted image text | |
| KR100942346B1 (en) | Mobile device and transmission system | |
| US7953295B2 (en) | Enhancing text in images | |
| CN107885430B (en) | Audio playing method and device, storage medium and electronic equipment | |
| US7403657B2 (en) | Method and apparatus for character string search in image | |
| US20100331041A1 (en) | System and method for language-independent manipulations of digital copies of documents through a camera phone | |
| JPWO2007004519A1 (en) | Search system and search method | |
| CN105518704A (en) | Systems and methods for detecting and classifying objects in video captured using mobile devices | |
| CN102930263A (en) | Information processing method and device | |
| WO2010120901A1 (en) | Systems and methods for image recognition using mobile devices | |
| US20060021027A1 (en) | Personal information management apparatus, personal information file creation method, and personal information file search method | |
| CN104537339A (en) | Information identification method and information identification system | |
| CN105808542B (en) | Information processing method and information processing apparatus | |
| CN1292377C (en) | Method for selecting treating object in character identification of portable terminal and portable terminal | |
| US20140044377A1 (en) | Shot image processing system, shot image processing method, mobile terminal, and information processing apparatus | |
| CN110781195A (en) | System, method and device for updating point of interest information | |
| JP2004062350A (en) | Document information input program, document information input device, and document information input method | |
| CN105451175A (en) | Method of recording photograph positioning information and apparatus thereof | |
| CN113010738B (en) | Video processing method, device, electronic equipment and readable storage medium | |
| CN107491778B (en) | Intelligent device screen extraction method and system based on positioning image | |
| CN105975621B (en) | Method and device for identifying search engine in browser page | |
| EP2784736A1 (en) | Method of and system for providing access to data | |
| CN107438160A (en) | A kind of preview image scales the method and device into line character inquiry manually | |
| CN112183149B (en) | Graphic code processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |