CN102354366A - Network based image recognition method and system - Google Patents
Network based image recognition method and system Download PDFInfo
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- CN102354366A CN102354366A CN2011102854101A CN201110285410A CN102354366A CN 102354366 A CN102354366 A CN 102354366A CN 2011102854101 A CN2011102854101 A CN 2011102854101A CN 201110285410 A CN201110285410 A CN 201110285410A CN 102354366 A CN102354366 A CN 102354366A
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Abstract
The invention provides a network based image recognition method and system. The method provided by the invention comprises the following steps of: receiving to-be-recognized image information firstly; then, based on an image recognition technique, determining whether the to-be-recognized image information can be recognized; when determining that the to-be-recognized image information can be recognized, based on the obtained recognition results, carrying out query in an information bank so as to determine whether recognition information corresponding to the to-be-recognized image information can be obtained; and when the recognition information corresponding to the to-be-recognized image information is obtained, sending the recognition information, in such a way, an operation that a user voluntarily recognizes image information or carries out checking on automatic recognition results can be exempted.
Description
Technical field
The present invention relates to a kind of field of image recognition, particularly a kind of method and system of coming recognition image Network Based.
Background technology
Business card is a kind of media of putting down in writing and transmitting contact method that people often use, and in daily commercial activity, tends to relate to a large amount of business card exchange, and people transmit contact method through the mode of business card exchange, sets up with other people and gets in touch.
At present in mobile phone and microcomputer widely used business card image recognition technology be to utilize Flame Image Process and optical character identification (OCR; Optical Character Recognition) principle; Business card image to camera absorbs or scanner scanning obtains is handled automatically and is discerned; Automatically extract useful informations such as wherein name, phone, email then; And join in the address book, for people write down the contact details of putting down in writing on the business card in electronic equipment very big convenience is provided.
Yet; Utilize Flame Image Process and optical character identification (OCR; Optical Character Recognition) contact details of extracting in the former reason business card image are difficult to guarantee that 100% is correct; Therefore; Usually also need the result of automatic identification be checked and revise; This obviously very bothers the user.
Summary of the invention
The object of the present invention is to provide a kind of method and system of coming recognition image Network Based, to guarantee to treat 100% correct recognition rata of recognition image.
Reach other purposes in order to achieve the above object, method of coming recognition image Network Based provided by the invention comprises step: 1) receive image information to be identified; 2) determine whether to discern said image information to be identified based on image recognition technology; 3), in information bank, inquire about determining whether to obtain and the corresponding identifying information of said image information to be identified based on recognition result when confirming to discern said image information to be identified; 4) when obtaining the identifying information corresponding, send said identifying information with said image information to be identified.
Preferably; Saidly Network Basedly come the method for recognition image also to comprise step: when confirming to discern said image information to be identified, said image information to be identified is sent to premise equipment so as after to obtain artificial the verification with the corresponding identifying information of said image information to be identified.
Preferably; Saidly Network Basedly come the method for recognition image also to comprise step: in the time in said information bank, can not obtaining the identifying information corresponding with said image information to be identified, said image information to be identified is sent to premise equipment so as after to obtain artificial the verification with the corresponding identifying information of said image information to be identified.
Recognition system of coming recognition image Network Based provided by the invention, comprising: receiver module is used to receive the image information to be identified from subscriber equipment; First determination module is used for determining whether to discern said image information to be identified based on image recognition technology; Second determination module is used for when confirming to discern said image information to be identified, in information bank, inquires about determining whether can obtain and the corresponding identifying information of said image information to be identified based on recognition result; First sending module is used for when obtaining the identifying information corresponding with said image information to be identified, sending said identifying information to said subscriber equipment.
Preferably; Saidly Network Basedly come the recognition system of recognition image also to comprise: second sending module; Be used for when confirming to discern said image information to be identified, said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified.
Preferably; Saidly Network Basedly come the recognition system of recognition image also to comprise: the 3rd sending module; Be used for when can not obtain the identifying information corresponding at said information bank the time with said image information to be identified, said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified.
Preferably; Saidly Network Basedly come the recognition system of recognition image also to comprise: memory module; Be used for when said information bank is not stored the identifying information corresponding with said image information to be identified, will depositing said information bank in the corresponding identifying information of said image information to be identified.
In sum, recognition methods that comes recognition image Network Based of the present invention and system be Network Based to discern image information to be identified, can exempt the user and verify recognition result voluntarily.
Description of drawings
Fig. 1 is the process flow diagram that comes the method for recognition image Network Based of the present invention;
Fig. 2 is the recognition system synoptic diagram that comes recognition image Network Based of the present invention.
Embodiment
See also Fig. 1, of the present inventionly Network Basedly come the method for recognition image mainly to be carried out by recognition system, said recognition system is to be installed in application module in the computer equipment etc.This computer equipment is a kind ofly can carry out the modernized intelligent electronic device of massive values computation and various information processings automatically, at high speed according to prior program stored, and its hardware includes but not limited to microprocessor, FPGA, DSP, embedded device etc.Preferably, this computer equipment includes but not limited to: 1) a plurality of webserver collection; 2) distributed network equipment; 3) based on set of computers of the cloud that constitutes by the great amount of calculation machine or the webserver of cloud computing (Cloud Computing) etc.Wherein, cloud computing is a kind of of Distributed Calculation, a super virtual machine of being made up of the loosely-coupled computing machine collection of a group.
In step S1, said recognition system receives the image information to be identified from subscriber equipment.
Wherein, said image information to be identified is any image information that comprises useful information, preferably, includes but not limited to business card image information, I.D. image information, student's identity card image information, employee's card image information, driver's license image information or the like.
Then, in step S2, said recognition system determines whether to discern said image information to be identified based on image recognition technology.
Wherein, said image recognition technology comprises any technology that can discern image information, preferably, includes but not limited to: Flame Image Process and optical character identification (OCR, Optical Character Recognition) technology etc.
Particularly; Said recognition system comes said image information to be identified is discerned based on image recognition technology; If can be by obtaining such as information such as literal, numeral, letters in the said image information to be identified; Then said recognition system is confirmed to discern said image information to be identified, otherwise then confirms to discern said image information to be identified.
Then, in step S3, when confirming to discern said image information to be identified, said recognition system is inquired about in information bank determining whether based on recognition result and can be obtained and the corresponding identifying information of said image information to be identified.
Particularly, information such as the literal that comprises based on recognition result of said recognition system, numeral, letter is inquired about in said information bank determining whether and can be obtained and the corresponding identifying information of said image information to be identified.
For example; Said recognition system is treated recognition image a1 based on image recognition technology and is discerned; Obtain recognition result and comprise name information " Lee two "; Then said recognition system is inquired about in said information bank based on this name information " Lee two ", to determine whether to comprise name information " Lee twos' " identifying information.
Wherein, information such as the said identifying information literal that is in the image information to be identified to be comprised, numeral, letter.For example, when said image information to be identified is business card image information, the identifying information corresponding with this business card image information be comprised in the business card image information such as information such as name, telephone number, contact addresses; Again for example, when said image information to be identified is the I.D. image information, the identifying information corresponding with this I.D. image information be comprised in the I.D. image information such as information such as name, identification card numbers.
Wherein, Said information bank stores a plurality of identifying informations; Each identifying information is corresponding with an image information to be identified respectively, in the equipment that said information bank is arranged in the computer equipment under the said recognition system or the computer equipment under the said recognition system can be visited.
In step S4, when said recognition system obtains the identifying information corresponding with said image information to be identified, then send said identifying information to said subscriber equipment.
For example, when said recognition system obtains the identifying information corresponding with said image information to be identified in said information bank, then send said identifying information to said subscriber equipment.
In step S5; When confirm to discern said image information to be identified, or when in said information bank, can not obtain the identifying information corresponding with said image information to be identified, said recognition system said image information to be identified is sent to premise equipment in case after the acquisition manual work verification with the corresponding identifying information of said image information to be identified.
Particularly; When confirm to discern said image information to be identified, or in the time in said information bank, can not obtaining the identifying information corresponding with said image information to be identified; Said recognition system is sent to background devices with said image information to be identified; So that after said image information to be identified is carried out artificial cognition or verifying by the background work personnel; And the identifying information that is identified offered said recognition system, send to said subscriber equipment by said recognition system again.
Need to prove, when manual work can not be discerned said image information to be identified, then feed back to feedback information to the said recognition system that to discern, and will comprise the feedback information that to discern by said recognition system and send to said subscriber equipment.
As a kind of optimal way, method of the present invention also comprises when not storing the identifying information corresponding with said image information to be identified in the said information bank, will deposit the step of said information bank with the corresponding identifying information of said image information to be identified in.
See also Fig. 2, recognition system 1 of coming recognition image Network Based of the present invention comprises receiver module 11, first determination module 12, second determination module 13, first sending module 14, second sending module 15 and the 3rd sending module 16.
The image information to be identified that said receiver module 11 receives from subscriber equipment.
Wherein, said image information to be identified is any image information that comprises useful information, preferably, includes but not limited to business card image information, I.D. image information, student's identity card image information, employee's card image information, driver's license image information or the like.
Then, said first determination module 12 determines whether to discern said image information to be identified based on image recognition technology.
Wherein, said image recognition technology comprises any technology that can discern image information, preferably, includes but not limited to: Flame Image Process and optical character identification (OCR, Optical Character Recognition) technology etc.
Particularly; Said first determination module 12 comes said image information to be identified is discerned based on image recognition technology; If can be by obtaining such as information such as literal, numeral, letters in the said image information to be identified; Then said first determination module 12 is confirmed to discern said image information to be identified, otherwise then confirms to discern said image information to be identified.
Then, when confirming to discern said image information to be identified, said second determination module 13 is inquired about in information bank determining whether based on recognition result and can be obtained and the corresponding identifying information of said image information to be identified.
Particularly, information such as the literal that comprises based on recognition result of said second determination module 13, numeral, letter is inquired about in said information bank determining whether and can be obtained and the corresponding identifying information of said image information to be identified.
For example; Said first determination module 12 is treated recognition image a1 based on image recognition technology and is discerned; Obtain recognition result and comprise name information " Lee two "; Then said second determination module 13 is inquired about in said information bank based on this name information " Lee two ", to determine whether to comprise name information " Lee twos' " identifying information.
Wherein, information such as the said identifying information literal that is in the image information to be identified to be comprised, numeral, letter.For example, when said image information to be identified is business card image information, the identifying information corresponding with this business card image information be comprised in the business card image information such as information such as name, telephone number, contact addresses; Again for example, when said image information to be identified is the I.D. image information, the identifying information corresponding with this I.D. image information be comprised in the I.D. image information such as information such as name, identification card numbers.
Wherein, Said information bank stores a plurality of identifying informations; Each identifying information is corresponding with an image information to be identified respectively, in the equipment that said information bank is arranged in the computer equipment under the said recognition system or the computer equipment under the said recognition system can be visited.
When obtaining the identifying information corresponding with said image information to be identified, then said first sending module 14 sends said identifying information to said subscriber equipment.
For example, when said second determination module 13 obtained the identifying information corresponding with said image information to be identified in said information bank, then said first sending module 14 sent said identifying information to said subscriber equipment.
When confirming to discern said image information to be identified; Second sending module 15 said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified; Then, send to said subscriber equipment with the corresponding identifying information of said image information to be identified after the manual work that said second sending module 15 is obtained of said first sending module 14 is verified.
In the time in said information bank, can not obtaining the identifying information corresponding with said image information to be identified; Said the 3rd sending module 16 said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified; Then, send to said subscriber equipment with the corresponding identifying information of said image information to be identified after the manual work that said the 3rd sending module 16 is obtained of said first sending module 14 is verified.
Particularly; When confirm to discern said image information to be identified, or in the time in said information bank, can not obtaining the identifying information corresponding with said image information to be identified; Said second sending module 15 or said the 3rd sending module 16 are sent to background devices with said image information to be identified; So that after said image information to be identified is carried out artificial cognition or verifying by the background work personnel; And the identifying information that is identified offered said first sending module 14, send to said subscriber equipment by said first sending module 14 again.
Need to prove; When manual work can not be discerned said image information to be identified; Then feed back to the feedback information that to discern to said first sending module 14, and will comprise the feedback information that to discern by said first sending module 14 and send to said subscriber equipment.
As a kind of optimal way, said recognition system 1 also comprises memory module (not giving diagram).When not storing the identifying information corresponding with said image information to be identified in the said information bank, said memory module will deposit said information bank in the corresponding identifying information of said image information to be identified.
In sum; The image to be identified from subscriber equipment is discerned in the identifying information that recognition methods that comes recognition image Network Based of the present invention and system store based on the networking or the manual work of net background, can guarantee to treat 100% correct recognition rata of recognition image thus.
The foregoing description is just listed expressivity principle of the present invention and effect is described, but not is used to limit the present invention.Any personnel that are familiar with this technology all can make amendment to the foregoing description under spirit of the present invention and scope.Therefore, rights protection scope of the present invention should be listed like claims.
Claims (10)
1. a method of coming recognition image Network Based is characterized in that, comprises step:
1) reception is from the image information to be identified of subscriber equipment;
2) determine whether to discern said image information to be identified based on image recognition technology;
3), in information bank, inquire about determining whether to obtain and the corresponding identifying information of said image information to be identified based on recognition result when confirming to discern said image information to be identified;
4) when obtaining the identifying information corresponding, send said identifying information to said subscriber equipment with said image information to be identified.
2. method of coming recognition image Network Based as claimed in claim 1 is characterized in that also comprising step:
When confirming to discern said image information to be identified, said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified.
3. method of coming recognition image Network Based as claimed in claim 1 is characterized in that also comprising step:
In the time in said information bank, can not obtaining the identifying information corresponding with said image information to be identified, said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified.
4. method of coming recognition image Network Based as claimed in claim 1 is characterized in that also comprising step:
When not storing the identifying information corresponding in the said information bank, will deposit said information bank in the corresponding identifying information of said image information to be identified with said image information to be identified.
5. method of coming recognition image Network Based as claimed in claim 1 is characterized in that said image information to be identified comprises business card image.
6. a recognition system of coming recognition image Network Based is characterized in that, comprising:
Receiver module is used to receive the image information to be identified from subscriber equipment;
First determination module is used for determining whether to discern said image information to be identified based on image recognition technology;
Second determination module is used for when confirming to discern said image information to be identified, in information bank, inquires about determining whether can obtain and the corresponding identifying information of said image information to be identified based on recognition result;
First sending module is used for when obtaining the identifying information corresponding with said image information to be identified, sending said identifying information to said subscriber equipment.
7. recognition system of coming recognition image Network Based as claimed in claim 6 is characterized in that also comprising:
Second sending module is used for when confirming to discern said image information to be identified, said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified.
8. recognition system of coming recognition image Network Based as claimed in claim 6; It is characterized in that also comprising: the 3rd sending module; Be used for when can not obtain the identifying information corresponding at said information bank the time with said image information to be identified, said image information to be identified is sent to premise equipment in case after obtaining artificial the verification with the corresponding identifying information of said image information to be identified.
9. recognition system of coming recognition image Network Based as claimed in claim 6 is characterized in that also comprising:
Memory module is used for when said information bank is not stored the identifying information corresponding with said image information to be identified, will depositing said information bank in the corresponding identifying information of said image information to be identified.
10. recognition system of coming recognition image Network Based as claimed in claim 6 is characterized in that said image information to be identified comprises business card image.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102854101A CN102354366A (en) | 2011-09-23 | 2011-09-23 | Network based image recognition method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011102854101A CN102354366A (en) | 2011-09-23 | 2011-09-23 | Network based image recognition method and system |
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| CN102354366A true CN102354366A (en) | 2012-02-15 |
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| CN2011102854101A Pending CN102354366A (en) | 2011-09-23 | 2011-09-23 | Network based image recognition method and system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103136660A (en) * | 2013-03-13 | 2013-06-05 | 上海合合信息科技发展有限公司 | Method and system for expanding business card information |
| CN106446165A (en) * | 2016-09-26 | 2017-02-22 | 厦门吉信德宠物用品有限公司 | Big data processing based identification method |
| CN107153844A (en) * | 2017-05-12 | 2017-09-12 | 上海斐讯数据通信技术有限公司 | The accessory system being improved to flowers identifying system and the method being improved |
| CN107454964A (en) * | 2016-12-23 | 2017-12-08 | 深圳前海达闼云端智能科技有限公司 | A kind of commodity recognition method and device |
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| CN1329323A (en) * | 2001-07-31 | 2002-01-02 | 郭根龙 | Automatic scanning identification and management method for credentials and its system |
| US20090175491A1 (en) * | 2005-10-24 | 2009-07-09 | Itesoft S.A. | Device and method for interaction with a user |
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Patent Citations (2)
| 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 |
| US20090175491A1 (en) * | 2005-10-24 | 2009-07-09 | Itesoft S.A. | Device and method for interaction with a user |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103136660A (en) * | 2013-03-13 | 2013-06-05 | 上海合合信息科技发展有限公司 | Method and system for expanding business card information |
| CN106446165A (en) * | 2016-09-26 | 2017-02-22 | 厦门吉信德宠物用品有限公司 | Big data processing based identification method |
| CN107454964A (en) * | 2016-12-23 | 2017-12-08 | 深圳前海达闼云端智能科技有限公司 | A kind of commodity recognition method and device |
| CN107153844A (en) * | 2017-05-12 | 2017-09-12 | 上海斐讯数据通信技术有限公司 | The accessory system being improved to flowers identifying system and the method being improved |
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Application publication date: 20120215 |