CN106169078A - Image-recognizing method - Google Patents
Image-recognizing method Download PDFInfo
- Publication number
- CN106169078A CN106169078A CN201610551578.5A CN201610551578A CN106169078A CN 106169078 A CN106169078 A CN 106169078A CN 201610551578 A CN201610551578 A CN 201610551578A CN 106169078 A CN106169078 A CN 106169078A
- Authority
- CN
- China
- Prior art keywords
- picture
- pixel
- identity card
- image
- recognizing method
- 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
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
Abstract
The invention discloses a kind of image-recognizing method, it comprises the following steps: input image parameters；Input parameter name, identification card number, address, sex, birthdate；Virtual identity card picture is generated according to step 2；The multiple pixels of random taking-up in the picture of step 3；By absolute position, identity card name place in OCR technique identification artwork sheet；The pixel taken in picture according to step 4, takes the pixel of equal number with same position；In two set got in comparison step four and step 6, solid colour counts, similarity is counted and all ratios counted equal to solid colour, set similarity and comprise the identity card of nominator more than the judgement of a certain fixed value for this picture, if less than, reenter step one.The present invention comprises identity card entity it can be avoided that user autodynes in picture, with copy, cause pixel to mate the most first-class problem computer screen shooting, and then avoid user to carry out fraud.
Description
Technical field
The present invention relates to a kind of recognition methods, particularly relate to a kind of image-recognizing method.
Background technology
User, during loan application, needs to submit to accredited from taking pictures to verify that this operator holds loan application people's
Identity card is in kind, but user often runs into following several problem when making and certainly taking pictures: one, comprises identity in picture and confirms
Body；Two, copy is used；Three, shooting computer screen, pixel unmatches.
Summary of the invention
The technical problem to be solved is to provide a kind of image-recognizing method, and it is picture it can be avoided that user autodynes
In comprise identity card entity, with copy, cause pixel to mate the most first-class problem computer screen shooting, and then avoid user
Other certificates comprising identification card number such as copy driver's license are used to carry out fraud.
The present invention solves above-mentioned technical problem by following technical proposals: a kind of image-recognizing method, it includes
Following steps:
Step one: input image parameters；
Step 2: input parameter name, identification card number, address, sex, birthdate；
Step 3: generate virtual identity card picture according to step 2；
Step 4: the multiple pixels of random taking-up in the picture of step 3；
Step 5: by absolute position, identity card name place in OCR technique identification artwork sheet；
Step 6: the pixel taken in picture according to step 4, takes the pixel of equal number with same position；
Step 7: the counting of solid colour in get in comparison step four and step 6 two set, similarity is equal to color
Consistent counts and all ratios counted, and sets similarity and comprises the body of nominator more than the judgement of a certain fixed value for this picture
Part card, if less than, reenter step one.
Preferably, the pixel of described step 4 is typically 2 thousand to ten ten thousand, adjusts according to the requirement of misclassification rate；Picture
Choosing of vegetarian refreshments does not comprises head portrait part；The color value of each pixel is adjusted according to misclassification rate.
Preferably, described step 5 according to the absolute position of name and the word of standard identity card and the ratio of frame,
Calculate the absolute position of identity card in this picture.
Preferably, the fixed value of described step 7 dynamically adjusts according to the requirement of algorithm precision.
The most progressive effect of the present invention is: the present invention comprises identity card entity it can be avoided that user autodynes in picture,
With copy, cause pixel to mate the most first-class problem computer screen shooting, and then avoid user to use copy driver's license
Fraud is carried out in other certificates comprising identification card number.
Accompanying drawing explanation
Fig. 1 is the flow chart of the present invention.
Detailed description of the invention
Below in conjunction with specific embodiment, the present invention is described in detail.Following example will assist in the technology of this area
Personnel are further appreciated by the present invention, but limit the present invention the most in any form.It should be pointed out that, the ordinary skill to this area
For personnel, without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement.These broadly fall into the present invention
Protection domain.
As it is shown in figure 1, image-recognizing method of the present invention comprises the following steps:
Step one: input image parameters.
Step 2: input parameter name, identification card number, address, sex, birthdate.
Step 3: generate virtual identity card picture according to step 2.
Step 4: the multiple pixels of random taking-up in the picture of step 3.
Pixel is typically 2 thousand to ten ten thousand, adjusts according to the requirement of misclassification rate；Choosing of pixel does not comprises head
As part；The color value of each pixel is adjusted according to misclassification rate.
Step 5: by absolute position, identity card name place in OCR technique identification artwork sheet.
Absolute position according to name and the word of standard identity card and the ratio of frame, calculate identity in this picture
The absolute position of card.
Step 6: the pixel taken in picture according to step 4, takes the pixel of equal number with same position.
Step 7: the counting of solid colour in get in comparison step four and step 6 two set, similarity is equal to
Counting and all ratios counted of solid colour, sets similarity and comprises nominator more than the judgement of a certain fixed value as this picture
Identity card, if less than; would reenter step one.
This fixed value dynamically adjusts according to the requirement of algorithm precision.
In sum, the present invention comprises identity card entity it can be avoided that user autodynes in picture, with copy, to computer screen
Curtain shooting causes pixel to mate the most first-class problem, and then other comprise identification card number to avoid user to use copy driver's license etc.
Certificate carry out fraud.
Above the specific embodiment of the present invention is described.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make various deformation or amendment within the scope of the claims, this not shadow
Ring the flesh and blood of the present invention.
Claims (4)
1. an image-recognizing method, it is characterised in that it comprises the following steps:
Step one: input image parameters；
Step 2: input parameter name, identification card number, address, sex, birthdate；
Step 3: generate virtual identity card picture according to step 2；
Step 4: the multiple pixels of random taking-up in the picture of step 3；
Step 5: by absolute position, identity card name place in OCR technique identification artwork sheet；
Step 6: the pixel taken in picture according to step 4, takes the pixel of equal number with same position；
Step 7: the counting of solid colour in get in comparison step four and step 6 two set, similarity is equal to color
Consistent counts and all ratios counted, and sets similarity and comprises the body of nominator more than the judgement of a certain fixed value for this picture
Part card, if less than, reenter step one.
2. image-recognizing method as claimed in claim 1, it is characterised in that the pixel of described step 4 be typically 2,000 to
100000, adjust according to the requirement of misclassification rate；Choosing of pixel does not comprises head portrait part；The color value root of each pixel
It is adjusted according to misclassification rate.
3. image-recognizing method as claimed in claim 1, it is characterised in that described step 5 according to the absolute position of name with
And the word of standard identity card and the ratio of frame, calculate the absolute position of identity card in this picture.
4. image-recognizing method as claimed in claim 1, it is characterised in that the fixed value of described step 7 is according to algorithm essence
The requirement of accuracy dynamically adjusts.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610551578.5A CN106169078B (en) | 2016-07-14 | 2016-07-14 | Image-recognizing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610551578.5A CN106169078B (en) | 2016-07-14 | 2016-07-14 | Image-recognizing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106169078A true CN106169078A (en) | 2016-11-30 |
| CN106169078B CN106169078B (en) | 2019-04-16 |
Family
ID=58065306
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610551578.5A Active CN106169078B (en) | 2016-07-14 | 2016-07-14 | Image-recognizing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106169078B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874968A (en) * | 2016-12-21 | 2017-06-20 | 江苏国光信息产业股份有限公司 | A kind of China second-generation identity card distinguishing method between true and false of efficient robust |
| CN107730574A (en) * | 2017-09-29 | 2018-02-23 | 四川长虹电器股份有限公司 | Identity card automatic generation method based on powershell |
| CN109684980A (en) * | 2018-09-19 | 2019-04-26 | 腾讯科技（深圳）有限公司 | Automatic marking method and device |
| CN110213483A (en) * | 2019-05-30 | 2019-09-06 | 苏宁金融服务(上海)有限公司 | A kind of view-finder matching process and device for papers-scanning |
| CN110248037A (en) * | 2019-05-30 | 2019-09-17 | 苏宁金融服务(上海)有限公司 | A kind of identity document scan method and device |
| CN111539406A (en) * | 2020-04-21 | 2020-08-14 | 招商局金融科技有限公司 | Certificate copy information identification method, server and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070127772A1 (en) * | 2002-02-22 | 2007-06-07 | Frederick Schuessler | System and Method for Generating and Verifying a Self-Authenticating Document |
| CN102189862A (en) * | 2011-03-11 | 2011-09-21 | 赵利军 | Identity card copy anti-counterfeiting method and special template |
| CN102955941A (en) * | 2011-08-31 | 2013-03-06 | 汉王科技股份有限公司 | Identity information recording method and device |
| KR101346328B1 (en) * | 2012-10-22 | 2013-12-31 | 인하대학교 산학협력단 | Identification distincting apparatus using degraded images and distincting apparatus using the same |
| CN105139048A (en) * | 2015-08-24 | 2015-12-09 | 汪风珍 | Double-number certificate and human-certificate identification system |
-
2016
- 2016-07-14 CN CN201610551578.5A patent/CN106169078B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070127772A1 (en) * | 2002-02-22 | 2007-06-07 | Frederick Schuessler | System and Method for Generating and Verifying a Self-Authenticating Document |
| CN102189862A (en) * | 2011-03-11 | 2011-09-21 | 赵利军 | Identity card copy anti-counterfeiting method and special template |
| CN102955941A (en) * | 2011-08-31 | 2013-03-06 | 汉王科技股份有限公司 | Identity information recording method and device |
| KR101346328B1 (en) * | 2012-10-22 | 2013-12-31 | 인하대학교 산학협력단 | Identification distincting apparatus using degraded images and distincting apparatus using the same |
| CN105139048A (en) * | 2015-08-24 | 2015-12-09 | 汪风珍 | Double-number certificate and human-certificate identification system |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106874968A (en) * | 2016-12-21 | 2017-06-20 | 江苏国光信息产业股份有限公司 | A kind of China second-generation identity card distinguishing method between true and false of efficient robust |
| CN106874968B (en) * | 2016-12-21 | 2020-03-24 | 江苏国光信息产业股份有限公司 | Second-generation identity card authenticity identification method |
| CN107730574A (en) * | 2017-09-29 | 2018-02-23 | 四川长虹电器股份有限公司 | Identity card automatic generation method based on powershell |
| CN107730574B (en) * | 2017-09-29 | 2021-04-06 | 四川长虹电器股份有限公司 | Automatic identity card generation method based on powershell |
| CN109684980A (en) * | 2018-09-19 | 2019-04-26 | 腾讯科技（深圳）有限公司 | Automatic marking method and device |
| CN109684980B (en) * | 2018-09-19 | 2022-12-13 | 腾讯科技（深圳）有限公司 | Automatic scoring method and device |
| CN110213483A (en) * | 2019-05-30 | 2019-09-06 | 苏宁金融服务(上海)有限公司 | A kind of view-finder matching process and device for papers-scanning |
| CN110248037A (en) * | 2019-05-30 | 2019-09-17 | 苏宁金融服务(上海)有限公司 | A kind of identity document scan method and device |
| CN110248037B (en) * | 2019-05-30 | 2022-01-07 | 苏宁金融服务(上海)有限公司 | Identity document scanning method and device |
| CN111539406A (en) * | 2020-04-21 | 2020-08-14 | 招商局金融科技有限公司 | Certificate copy information identification method, server and storage medium |
| CN111539406B (en) * | 2020-04-21 | 2023-04-18 | 招商局金融科技有限公司 | Certificate copy information identification method, server and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106169078B (en) | 2019-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106169078A (en) | Image-recognizing method | |
| CN105608722B (en) | It is a kind of that pouch method and system are gone based on face key point automatically | |
| US20190325564A1 (en) | Image blurring methods and apparatuses, storage media, and electronic devices | |
| DE102016011998A1 (en) | Style rendering for head picture portraits | |
| US20190130536A1 (en) | Image blurring methods and apparatuses, storage media, and electronic devices | |
| JP2011516965A (en) | Automatic facial detection and identity masking in images and its applications | |
| JP2010217954A5 (en) | ||
| WO2021008205A1 (en) | Image processing | |
| CN107798704A (en) | A kind of realtime graphic stacking method and device for augmented reality | |
| CN109636745B (en) | Optimal order image enhancement method based on fractional order differential image enhancement algorithm | |
| CN110458792A (en) | Method and device for evaluating quality of face image | |
| CN110298792A (en) | Low light image enhancing and denoising method, system and computer equipment | |
| CN104240259A (en) | High-speed photographing instrument voucher intelligent edge cutting and correcting system and high-speed photographing instrument voucher intelligent edge cutting and correcting method based on silhouette extraction | |
| WO2017185452A1 (en) | Image restoration method and system | |
| CN102509266B (en) | Fast edge-preserving filtering method for image | |
| CN109669537A (en) | A kind of man-machine interactive system based on computer virtual interface | |
| CN109376618A (en) | Image processing method, device and electronic equipment | |
| CN111079689B (en) | Fingerprint image enhancement method | |
| CN110246090B (en) | Image processing method and device | |
| Jindal et al. | Bio-medical image enhancement based on spatial domain technique | |
| CN110399889A (en) | Medical image processing method, apparatus, equipment and storage medium | |
| CN105872317A (en) | Video image filtering method and device based on time domain | |
| Pei et al. | Enhancement of uneven lighting text image using line-based empirical mode decomposition | |
| CN114049670A (en) | Image processing method, image processing device, electronic equipment and storage medium | |
| AU2018284102B2 (en) | System and method for generating a photographic police lineup |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Room 1810, 56-62 Changliu Road, Pudong New District, Shanghai, 201203 Applicant after: MicroExpress (Group) Co., Ltd. Address before: Room 1810, 56-62 Changliu Road, Pudong New District, Shanghai, 201203 Applicant before: The amount of micro shortdial (Shanghai) Financial Information Services Limited |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |