CN106981016A - A kind of remote self-help real name buys the method and system of phonecard - Google Patents
A kind of remote self-help real name buys the method and system of phonecard Download PDFInfo
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- 238000010606 normalization Methods 0.000 claims description 16
- 238000001727 in vivo Methods 0.000 claims description 15
- 238000012790 confirmation Methods 0.000 claims description 12
- 239000000284 extract Substances 0.000 claims description 12
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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Abstract
The invention discloses a kind of method that remote self-help real name buys phonecard, comprise the following steps：S1, user uploads ID card information, carries out the true and false that identity card is verified in online checking；If ID card information is true, step S2 is turned to；Otherwise, refusal purchase phonecard；Whether S2, it is true man to judge the face captured by scene；If it is, collection facial image, turns to step S3；Otherwise, refusal purchase phonecard；S3, the live facial image of shooting and identity card facial image are compared, and judge whether it is same people, if it is, turning to step S4；Otherwise, Authenticate afresh is once；S4, shoots bank card positive and negative, obtains bank's card graphic, recognize bank card essential information, and it is whether consistent with the ID card information of upload using the ID card information bound in online checking cross validation bank card, if cross validation success, purchase phonecard success.This method ensure that remote self-help real name buys the convenience and security of phonecard.
Description
Technical field
Internet and people are based on the present invention relates to a kind of method that remote self-help real name buys phonecard, more particularly to one kind
Body biometrics identification technology remote self-help phonecard purchase method, while be related to realize the phonecard purchasing method be
System.
Background technology
With the development of society, the obtaining means of information are more and more, the card that claims the identity of others fraudulently carries out system of real name purchase card
Behavior happens occasionally.People gradually step up to the attention degree of information security.Relevant department points out：To take precautions against and hitting illegal point
Son carries out illegal activity using non-real name phonecard, it is desirable to which new networking user must use real name.But real name purchase electricity
Words fixture body is implemented, and there are many difficulties.
At present, carry out phone using following two methods substantially and open card and system of real name registration：
1) user goes to business hall to handle Kai Ka and real name registration using my effective identity certificate, and shop assistant passes through identity card
Identification reading instrument reading identity card chip information carries out authentication, and carries out opening card and real name registration.This method is to Kai Ka and reality
The user particularly working clan of name registration brings great inconvenience, and opening card people and must finding business hall can just handle, time-consuming to take
Power.Further, since there is no testimony of a witness unification checking link in the method, certificate can only be carried out by staff and falsely use judgement, increased
Staff's burden is added, it is impossible to avoid falsely using situation due to what working experience, working strength, careless mistake or collusion from both within and without were brought
Occur.
2) user carries out on-line real name registration and opens card.User on the net by filling in Real Name and identity card piece number
Code, while uploading the positive and negative image and personal photo of identity document, then submits personal information, and wait after pending success just
Card and real name registration can be completed open.The authenticity for the ID card information that this method may insure to upload by online checking, but
The authenticity of personal photo uploaded can not be ensured, i.e., can not differentiate that criminal carries out PS using photo above other people identity cards
Processing is come auditing system of out-tricking.In addition, the card progress system of real name purchase card that claims the identity of others fraudulently can not be prevented.Therefore, this method can not
Ensure that holding effective identity certificate in person carries out opening card and real name registration.
So, a kind of method that not only can guarantee that purchase card is convenient but also the card that can prevent to claim the identity of others fraudulently carries out system of real name purchase card
Active demand as people.
The content of the invention
In view of the shortcomings of the prior art, primary technical problem to be solved by this invention is to provide a kind of remote self-help reality
The method of name purchase phonecard；
Another technical problem to be solved by this invention is to provide a kind of remote self-help real name purchase for realizing this method
The system of phonecard.
For achieving the above object, the present invention uses following technical schemes：
A kind of method that remote self-help real name buys phonecard, comprises the following steps：
S1, uploads ID card information, and carry out the true and false that ID card information is verified in online checking；If true, then turn to
Step S2；Otherwise, refusal purchase phonecard；
S2, judges whether the face captured by scene is true man using In vivo detection technology；If it is, collection face figure
Picture, turns to step S3；Otherwise, refusal purchase phonecard；
S3, the facial image of shooting is compared with identity card facial image, judges whether it is same people, if it is,
Then turn to step S4；Otherwise, Authenticate afresh is once；
S4, shoots bank card positive and negative, obtains bank's card graphic, recognizes bank card essential information, and utilize online checking
Whether the ID card information bound in cross validation bank card is consistent with the ID card information of upload, if be proved to be successful, opens up
Show confirmation, confirm errorless rear handwritten signature, purchase phonecard success；Otherwise, verify again once.
Wherein more preferably, in step sl, the upload ID card information, and carry out online checking checking ID card information
The true and false, comprise the following steps：
S11, starts mobile phone camera and shoots identity card positive and negative, captured identity card positive and negative image；
S12, the character information on identification identity card surface carries out networking core by the identity card face character information identified
Look into, if finding user profile, transfer the identity card face character information and identity card facial image in checking system；
S13, the identity witness for being returned to the facial image on identity card surface and online checking using face recognition technology
Face image is compared, and judges its consistency；
S14, when the identity card face character information by identifying carries out online checking, user profile is present；And face
When the facial image on the identity card surface that identification technology is identified is consistent with the identity card facial image that online checking is returned, identity
It is true to demonstrate,prove information；Otherwise, ID card information is false.
Wherein more preferably, in step s 2, judge whether the face captured by scene is true man using In vivo detection technology,
Comprise the following steps：
S21, starts camera and shoots face, and intercept serial compulsory exercise photo；
S22, the crucial point location of face is carried out in the photo of interception, judges whether successfully be detected within the defined time
All required movements；If it is detected turning to step S23；Otherwise, authentication failed；
S23, captures N facial images, face normalization processing is carried out for every facial image, extract various features
Value, score is calculated using SVM classifier, and true man are determined whether according to score, and wherein N is positive integer.
Wherein more preferably, in step S23, N facial images is captured, face normalization is carried out for every facial image
Processing, extract various features value, using SVM classifier calculate score, including the score processing procedure based on diffusion velocity figure and
The score processing procedure analyzed based on image fault；Finally the score of two kinds of processing procedures merge obtaining final score.
Wherein more preferably, face is carried out for every facial image using the score processing method based on diffusion velocity figure to return
One change is handled, and extracts various features value, is calculated score using SVM classifier, is comprised the following steps：
S2311, the random interception image during video verification carries out Face datection and crucial point location, and to interception
Image carry out face normalization processing, extract various features value；
The feature extracted in S2312, the Polaroid, secondary imaging stored according to history image and the image being repeatedly imaged
Value construction SVM classifier；
S2313, inputs SVM classifier by the various features value of extraction, is given a mark, obtain the first fraction.
Wherein more preferably, in step s3, using face recognition technology by the live facial image of shooting and identity witness
Face image is compared, and judges whether it is same people, if it is decided that be not same people, then Authenticate afresh is once；If twice all
Identification failure, then exit application.
In step s 4, confirmation is shown, confirms after errorless rear handwritten signature, before purchase phonecard success, goes back
Comprise the following steps：
Start camera, open user video witness flow.
Wherein more preferably, the user video witness includes double vision frequency witness and single video witness；
Wherein, the double vision frequency witness requires that client face occurs in video, and whole witness process is ensured in video extremely
It is same person to begin to end, and server end has response；
The single video witness, which requires nothing more than client face, to be occurred in video, and whole witness process ensures extremely to begin extremely in video
It is same person eventually.
The system that a kind of remote self-help real name buys phonecard, the remote self-help real name purchase phonecard above-mentioned for realizing
Method, including login module, identification module, identity falsely use identification module, cross validation module and user and confirm module；
Wherein, the login module is used for preliminary identification user identity, after being verified, and starts the identification mould
Block；
The identification module is used for the authenticity for verifying the ID card information that user uploads, and starts institute after being verified
State identity and falsely use identification module；
The identity, which is falsely used, identifies that module is used to verify whether user is true man, and true man's body is verified when user is true man
Part, start the cross validation module when people's identity is consistent with ID card information surely；
The cross validation module is used to obtain bank card information, and bank card application is led into people's information and ID card information
Carry out cross validation, when cross validation by after, by identity information be sent to user confirm module, confirm through user.
Wherein more preferably, the system that the remote self-help real name stated buys phonecard, in addition to video witness module；
The video witness module is used to carry out user Kai Ka wishes to include preservation.
The method that remote self-help real name provided by the present invention buys phonecard, by Internet technology and human body biological characteristics
Identification technology is applied to remote self-help and purchases card and system of real name, by uploading ID card information, and carries out online checking checking identity
The true and false of card；Afterwards, start camera and shoot face, judge whether the face captured by scene is true using In vivo detection technology
People；The facial image of shooting is compared with identity card facial image using face recognition technology, whether judge it is same
People, finally, starts camera and shoots bank card positive and negative, obtain bank's card graphic, is believed substantially using OCR technique identification bank card
Breath, and verify whether the identity card bound in bank card is consistent with identity card that user uploads using online checking, triple checkings
After succeeding, confirmation is shown, errorless rear purchase phonecard success is confirmed.This method ensure that remote self-help real name is bought
The convenience and security of phonecard.
Brief description of the drawings
Fig. 1 is the flow chart for the method that remote self-help real name provided by the present invention buys phonecard.
Embodiment
Detailed specific description is carried out to the technology contents of the present invention with specific embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, the method that remote self-help real name provided by the present invention buys phonecard, comprises the following steps：It is first
First, after User logs in, ID card information is uploaded, and carry out the true and false that identity card is verified in online checking；If ID card information
It is false, then authentication fails, and refusal carries out purchase phonecard；Otherwise, start camera and shoot face, using In vivo detection skill
Art judges whether the face captured by scene is true man；If not true man, then refuse to carry out purchase phonecard；Otherwise, utilize
The live facial image of shooting and identity card facial image are compared face recognition technology, and whether judge it is same people,
If not same people, then Authenticate afresh is once；If all identification failures twice, exit application, refusal carries out purchase phone
Card；Otherwise, start camera and shoot bank card positive and negative, obtain bank card positive and negative image, bank card is recognized using OCR technique
Essential information, and verify whether the identity card bound in bank card is consistent with identity card that user uploads using online checking, such as
The success of fruit cross validation, then show confirmation, confirms errorless rear purchase phonecard success；Otherwise, verify again once.Below
This processing procedure is described in detail.
After S1, User logs in, ID card information is uploaded, and carry out the true and false that ID card information is verified in online checking；Such as
Fruit ID card information is true, then turns to step S2；Otherwise, prompting authentication failure, please be re-typed, and refusal carries out purchase electricity
Words card.
In embodiment provided by the present invention, User logs in includes phone number, the tri- kinds of logins of QQ number code or Email
Mode, user can select input handset number, QQ number code or Email addresses, and click on acquisition identifying code.Then, user is defeated
Enter the identifying code received, if checking, which unanimously, is registered/logined successfully, enters next step；Otherwise, it is necessary to re-register/log in.
After registering/logining successfully, user can select operator；Then select phone number, cell-phone number code division it is free and
Pay two kinds, confirm that after phone number ID card information can be uploaded.Wherein, when phone number is pays, way of paying
Can select bank card pay, telephone expenses bales catch remove, wechat pay or Alipay pay etc..
After User logs in, ID card information can be uploaded, and carries out the true and false that ID card information is verified in online checking, tool
Body comprises the following steps：
S11, starts mobile phone camera and shoots identity card positive and negative, captured identity card positive and negative image.In order to improve the later stage
OCR and the efficiency of recognition of face, using image quality assessment technology ensure collection identity card positive and negative image it is up-to-standard.
Then, up-to-standard identity card positive and negative image is uploaded to background server.
Wherein, using image quality assessment technology ensure collection identity card positive and negative image quality, it is necessary to detection
Key element includes：The excessive too small, image of identity card positive and negative picture size is excessively bright, image is excessively dark, image blurring, image lacks side, figure
As the factor such as unfilled corner, image are blocked, image is reflective.Specifically include following steps：
S111, obtains the size of identity card positive and negative image, judges it whether in defined size range, if it is
Turn to step S112；Otherwise, image is undesirable, gives up the identity card positive and negative image.
The size of identity card positive and negative image is obtained, judges that it whether in defined size range, as judges identity
Whether the size for demonstrate,proving positive and negative image is more than defined minimum dimension and less than defined full-size.
First, the minimum constructive height threshold value and maximum height of identity card positive and negative image-region are obtained according to historical statistical data
Threshold value；Wherein, minimum constructive height threshold value and maximum height threshold value be respectively the permission of identity card positive and negative image minimum constructive height and
The maximum height being no more than.It is then detected that, positioning image in identity card positive and negative image shared by region, judge identity card
Whether the height in region is in threshold range shared by positive and negative image.If minimum constructive height threshold value≤identity card positive and negative image institute
Region height≤maximum height threshold value is accounted for, then judges and passes through, carry out next step judgement；If identity card positive and negative image institute occupied area
Domain height≤minimum constructive height threshold value, or region height shared by identity card positive and negative >=maximum height threshold value, then judge failure, house
Abandon the identity card positive and negative image.
S112, identity card positive and negative figure is judged by calculating the brightness and contrast of pixel in identity card positive and negative image
Whether the brightness and contrast of picture meets graphics standard；If meeting graphics standard, step S113 is turned to；Otherwise, this is given up
Identity card positive and negative image.
The max-thresholds for obtaining brightness of image are counted according to a large amount of historical datas；Figure is obtained according to a large amount of historical datas statistics
The minimum threshold of image contrast；Calculate the brightness and contrast of image；Judge whether the brightness and contrast of image meets regulation
Threshold condition.Brightness=average brightest pixel point gray value/255.Contrast=(average brightest pixel point gray value-average
Most dark pixel point gray value)/maximum brightness value * 100.
Wherein, average brightest pixel point gray value=brightest pixel point gray value summation/brightest pixel point sum.Averagely most
Dark pixel point gray value=most dark pixel point gray value summation/most dark pixel point sum.Brightest pixel point sum=brightest pixel
The total pixels of ratio *.The most dark pixel point sum=most total pixels of dark pixel ratio *.Brightest pixel point gray value be image most
High-gray level value, most dark pixel point gray value are the minimum gradation value of image.Image brightness values≤brightness max-thresholds and image
Contrast value >=contrast minimum threshold, then judge and pass through；Figure brightness value>Brightness max-thresholds or image contrast value<Contrast
Minimum threshold is spent, failure is judged.
Judge whether China second-generation identity card positive and negative image lacks enough brightness.Method is：United according to a large amount of historical datas
Meter obtains brightness of image threshold value；Image brightness values are calculated, judge whether it meets luminance threshold.Brightness=average brightest pixel point
Gray value/255.Average brightest pixel point gray value=brightest pixel point gray value summation/brightest pixel point sum.Brightest pixel
Point sum=total pixels of brightest pixel ratio *.If image brightness values >=luminance threshold, judge passes through, if brightness of image
Value<Luminance threshold, then judge failure.
S113, calculates the definition of current identity card positive and negative image.Judge whether it is more than or equal to clarity threshold, such as
Fruit is more than or equal to clarity threshold, then turns to step S114；Otherwise, the identity card positive and negative image is given up.
Visibility minimum scoring threshold value (clarity threshold) is obtained according to a large amount of historical datas statistics；Clarity threshold is full
The minimum value of sufficient image definition requirements.Present image definition is calculated, and judges its threshold value for whether meeting setting.Wherein：
The definition of image=greatest gradient value summation/maximum gradient pixel point sum.Maximum gradient pixel point sum=greatest gradient
Pixel ratio * total pixel numbers.If definition values >=clarity threshold of image, judge passes through；If the definition of image
Value<Definition values threshold value, then judge failure.
S114, detects the region of identity card positive and negative image, whether judge it is complete image, if it is turns to step
Rapid S115；Otherwise, the identity card positive and negative image is given up.
The region of identity card positive and negative image is detected, whether be complete image, that is, judge identity card positive and negative if judging it
Whether the four edges of image are all in picture, and whether four angles are all in picture.Specifically include following steps：
First, the region of detection difference identity card positive and negative image, secondly, identity card side is being likely to occur according to the region
Detection of straight lines at edge, if detecting straight line, illustrates that identity card does not lack side；If inspection does not measure straight line, illustrate identity card
Lack side.If detecting straight line, it is verified；If inspection does not measure straight line, authentication failed.Then, detection is come from respectively
The four edges of part card positive and negative image, the position of four angle points are calculated according to four edges, if four angle points have the position of one
The scope beyond original picture is put, then is judged as identity card unfilled corner；If all of point all in the range of artwork, then it is judged as body
Part demonstrate,proves not unfilled corner.If angle point is in the range of artwork, it is verified；If angle point is beyond artwork scope, authentication failed.
S115, obtains ash in identity card positive and negative image-region, the background area by detecting identity card positive and negative image
The continuity of degree or texture, whether be the image that is blocked, if it is turn to step S116 if judging it；Otherwise, this is given up
Identity card positive and negative image.
Detect accurate identity card positive and negative image-region, judge in the background area of identity card positive and negative image whether
There are gray scale or the discontinuous situation of texture to occur.If gray scale and texture continuity, are verified；If gray scale or texture are not
Continuously, then authentication failed, gives up the identity card positive and negative image.
S116, judges identity card positive and negative image with the presence or absence of reflective respectively, if being not present reflective, identity card is just
The quality of verso images meets image quality assessment technical requirements；Otherwise, the identity card positive and negative image is given up.
Minimum reflective threshold value can be obtained according to a large amount of historical datas statistics, minimum reflective threshold value is non-reflective for judgement picture
Maximum gradation value, if having on ID Card Image (direct picture or verso images) pixel gray value be more than it is minimum reflective
Threshold value, the number of the such pixel of statistics, and its gray difference with background is calculated, if the number of such pixel is more than most
Low reflective area threshold value and gray difference is also greater than minimum discrepancy threshold, then be judged as that identity card is reflective, authentication failed.If figure
There is grey scale pixel value on picture>Minimum reflective threshold value and reflective pixel number>Minimum reflective area threshold value and reflective pixel gray scale is equal
Value-background gray average>Minimum discrepancy threshold, then authentication failed.If there is grey scale pixel value≤minimum reflective threshold value on image
Or reflective pixel number≤minimum reflective area threshold value or reflective pixel gray average-background gray average≤minimum difference threshold
Value, then be verified.
S12, recognizes identity card face character information using OCR technique, passes through the identity card face character information identified
Online checking is carried out, if finding user profile, identity card face character information therein and identity card facial image is transferred.
It is automatically that name and ID card No. is defeated after by OCR technique, the character information on identity card surface is identified
Enter into citizenship information networking checking system inquiry, there is the name and ID card No., system in storehouse if inquired
The certificate information consistent with ID card No. with this name is then returned, is specifically included：Name, identification card number, residence, nationality,
Birthdate, photo etc..
S13, the identity witness for being returned to the facial image on identity card and network verification system using face recognition technology
Face image is compared, and judges its consistency.
S14, when the identity card face character information by identifying carries out online checking, user profile is in citizen ID certificate
Exist in part checking system；The identity that the facial image on the identity card surface that face recognition technology is identified is returned with checking system
When witness's face image is consistent, ID card information is true；Otherwise, ID card information is false.
If ID card information is true, turns to step S2 and carry out further checking work；Otherwise, authentication is pointed out
Failure, please be re-typed, and refusal carries out purchase phonecard.
S2, is started camera and shoots face, judged whether the face captured by scene is true man using In vivo detection technology；
If it is, collection facial image, turns to step S3；Otherwise, refusal carries out purchase phonecard.
If ID card information is true, start camera shooting face, scene is judged using In vivo detection technology
Whether captured face is true man.If it is, collection facial image, turns to step S3 and is further verified；Otherwise,
Refusal carries out purchase phonecard.Wherein, judge whether the face captured by scene is true man using In vivo detection technology, specific bag
Include following steps：
S21, starts camera and shoots face, and intercept serial compulsory exercise photo.
S22, the action to interception is detected, judges whether the motion detection time is overtime, if it times out, exiting inspection
Survey, authentication failed；Otherwise, the crucial point location of face is carried out in the photo of interception, judges whether succeed within the defined time
Detect all required movements.Fail if detected, again detection operation collection；Otherwise, step S23 is turned to.
The crucial point location of face is carried out in the photo of interception, judges whether to successfully be detected within the defined time all
Required movement.In embodiment provided by the present invention, required movement is acted including opening one's mouth, smile is acted, blink is acted etc..
Wherein, motion detection of opening one's mouth is detected using the method for trigger-type, i.e., using the crucial locus of points Expressive Features+SVM classifier of face
Method detection, add the robustness of motion detection.
S23, captures N facial images, face normalization processing is carried out for every facial image, extract various features
Value, calculates score using SVM classifier, true man is determined whether according to score.
Motion detection is the relative position change based on the human face key point in video flowing, whether judges Field Force
There is the action done and specified.Due to crucial point location easily by light, posture, the factor such as block and influenceed, can have positioning not accurate enough
Really, finally result in the In vivo detection based on motion detection and there is certain difficulty, in order to overcome this problem, based on action inspection
The secondary judgement of In vivo detection is introduced on the basis of survey.In motion detection process, N relatively positive faces can be captured, are moved
After the completion of detecting, this N faces are input in secondary judgement and carry out secondary judgement, it is secondary be judged as after live body it is just finally defeated
Go out for live body.The accuracy of In vivo detection is added, the deficiency of conventional action detection is compensate for.
In the present invention, before for every facial image progress face normalization processing, face is carried out to view data
Detection, judges whether to meet pretreatment condition, such as：Whether face is whether to meet uniformity, people for colored human face, face brightness
Whether face definition meets minimum standard etc..Face normalization processing is carried out for every facial image if condition is met,
Otherwise, detection failure is directly judged.
In embodiment provided by the present invention, N facial images are captured, face normalizing is carried out for every facial image
Change is handled, and extracts various features value, and score, including the score processing procedure based on diffusion velocity figure are calculated using SVM classifier
Score processing procedure with (IDA) is analyzed based on image fault, is finally merged the score of two kinds of processing procedures most
Score afterwards.
Wherein, carried out using the score processing procedure based on diffusion velocity figure for every facial image at face normalization
Reason, extracts various features value, calculates score using SVM classifier, specifically includes following steps：
S2311, the random interception image during video verification carries out Face datection and crucial point location, and to interception
Image carry out face normalization processing, extract various features value.In embodiment provided by the present invention, based on diffusion velocity
The feature extracted in the score processing procedure of figure is traditional textural characteristics；Such as：LBP (Local Binary Patterns, i.e.,
Local binary patterns), HOG (Histogram of Oriented Gradient, i.e. histograms of oriented gradients) etc..Wherein, enter
Row Face datection and crucial point location, and face normalization processing is carried out to truncated picture, for face normalization image is drawn
It is divided into 8 misaligned grid of 8X, single features key element A histogram is counted in each grid, such as：In LBP, HOG etc.
One kind.All histograms are connected in series, the single features key element A of multidimensional feature description is formed；To normalized face
Image, using different scale parameters, is filtered processing, and filtering image is divided into 8 misaligned grid of 8X, statistics
The average and variance of filtering image in each grid, so each width filtering image can obtain the feature of 128 dimensions, by a variety of chis
The feature of degree parameter is connected in series, and is formed a kind of characteristic value, herein, from multiple yardsticks, can be obtained the feature of various dimensions.
Various features value is sent into SVM classifier, you can obtain the first fraction.
The feature extracted in S2312, the Polaroid, secondary imaging stored according to history image and the image being repeatedly imaged
Value construction SVM classifier.
Image that is Polaroid and secondary or being repeatedly imaged, its diffusion velocity is different.During Polaroid, due into
Image surface (face) is three-dimensional, and its light reflected can be along all directions, and image intensity value diffusion is very fast, and secondary imaging
Or repeatedly imaging, its imaging surface is plane, and the direction of reflection is uniform towards a direction substantially, and image intensity value expands
Dissipate slower.Means are extracted using various features, this diffusion velocity can be described.By video intercepting image be it is Polaroid,
Secondary imaging, the judgement being repeatedly imaged, the possibility that the video before can further excluding user's use is applied, enter one
Step improves the reliability of true man's detection, and real name buys the security of phonecard.
S2313, inputs SVM classifier by the various features value of extraction, is given a mark, obtain the first fraction.
Wherein, face normalization is carried out for every facial image using the score processing procedure analyzed based on image fault
Processing, extracts various features value, calculates score using SVM classifier, specifically includes following steps：
S2321, the random interception image during video verification, and face normalization processing is carried out to truncated picture,
Extract various features value.In the score processing procedure analyzed based on image fault, the characteristic value of extraction for fuzziness feature and
Specular reflective characteristics etc..Image that is Polaroid and secondary or being repeatedly imaged, light field can be otherwise varied, and traditional texture is special
The description for levying such as DOG, LBP feature is single, and generalization ability is not enough, therefore introduces IDA (Image Distortion
Analysis) feature.It is in particular in that the former (Polaroid facial image) definition is high, belongs to diffusing reflection；The latter is (secondary
Or the facial image being repeatedly imaged) definition is relatively low, there is mirror-reflection.Pin is in this regard, proposition analyzes feature with image fault
(IDA is represented with fuzziness and specular reflective characteristics herein) weighs the difference in the difference and definition in this light field.
Wherein, the calculation of fuzziness feature is as follows：Marginal point is obtained first by edge detection algorithm, then to every
One marginal point, calculates its difference with field average, is used as fuzziness feature.As for specular reflective characteristics, image is first extracted
High light pixel, the average, variance and accounting for then calculating high light pixel is equivalent.Wherein, high light pixel (mirror-reflection pixel)
Extraction comprises the following steps：(1) colourity of each pixel and the minimum and maximum colourity of image are calculated based on RGB channel.(2)
Judge whether current pixel is mirror-reflection pixel according to image chroma, maximum, minimal color.
It is extracted after both features, the SVM classifier built just can be used to calculate the second fraction.
That is extracted in S2322, the Polaroid, secondary imaging stored according to history image and the image being repeatedly imaged is fuzzy
Spend feature and specular reflective characteristics construction SVM classifier.
S2323, inputs SVM classifier by the various features value of extraction, is given a mark, obtain the second fraction.
Finally, the first fraction two kinds of processing procedures obtained and the second fraction merge obtaining final score.At this
In the provided embodiment of invention, convergence strategy point two parts content：
1) the first fraction that the score processing procedure based on diffusion velocity figure is obtained and the score based on image fault analysis
The second fraction that processing procedure is obtained carries out linear fusion, draw last thresholding judges in prescribed limit, then scene face as
Live body, is otherwise judged as attacking sample.
2) multiframe is merged.For motion detection by rear, multiple faces are captured, multiframe face after grader by being thrown
Ticket, when the picture frame for finally having more than 3/4 is judged as live body, can just export live face for live body, otherwise be judged as attack
Sample.
S3, the facial image of shooting is compared with identity card facial image using face recognition technology, judges that it is
No is same people, judges that identity card falsely uses situation with this.If it is determined that it is consistent, then turn to step S4；Otherwise, Authenticate afresh one
It is secondary.
When it is true man that the face captured by scene is judged using In vivo detection technology；Using image quality assessment technology,
A up-to-standard facial image is picked out from captured facial image.Then, by up-to-standard live face figure
As being uploaded to background server.The qualified facial image of shooting and identity card facial image are compared using face recognition technology
It is right, judge whether it is same people, judge that identity card falsely uses situation with this.If it is determined that it is consistent, then enter step S4 and enter to advance
The checking work of one step；Otherwise, Authenticate afresh once, if all identification fails twice, exits application.
S4, starts camera and shoots bank card positive and negative, obtain bank's card graphic, bank card base is recognized using OCR technique
This information, and it is whether consistent using the identity card bound in online checking cross validation bank card and identity card that user uploads,
The authenticity of identity is further verified with this.If cross validation success, shows confirmation, errorless rear purchase electricity is confirmed
Words are blocked successfully；Otherwise, verify again once, if all failed twice, exit application.
The qualified facial image of shooting and identity card facial image are compared when using face recognition technology, judgement is
During same people, point out user to start camera and shoot bank card positive and negative, and ensure what is used using image quality assessment technology
The quality of bank's card graphic.Then, up-to-standard bank's card graphic is uploaded to background server.Recognized using OCR technique
The bank card essential information such as bank card bank of deposit and card number, and utilize the identity card bound in online checking cross validation bank card
Whether information is consistent with user identity card information, and the authenticity of identity is further verified with this.If cross validation success,
Confirmation is shown, errorless rear purchase phonecard success is confirmed；Otherwise, verify once, if all failed twice, exit again
Application.
In embodiment provided by the present invention, displaying confirmation be identity cross validation by rear, return is opened card and believed
Cease to user terminal, including customer name, open the identity informations such as card number code, identification card number and address, check and provide for user
Manual modification and supplementary functions.After user's confirmation is errorless, user is pointed out to provide phonecard posting address and programmed emergency name
And phone.Finally, prompting client sets phone clip pin；Confirmation form and on-line trial are read out, and starts camera by visitor
Family is read out puts on record with signature process video and audio recording storage archive.
In embodiment provided by the present invention, after the confirmation for confirming displaying is errorless, purchase phonecard success
Before, also comprise the following steps：
Start camera, open user video witness flow.
User is carried out after validation of information, is clicked on video witness button and is started camera, opens user video witness flow.
In embodiment provided by the present invention, user video witness includes double vision frequency witness and single video witness.Wherein, double vision frequency is witnessed
It is required that client face occurs in video, whole witness process ensures in video the same person to beginning to being eventually, and server
There is response at end.Single video witness, which requires nothing more than client face, to be occurred in video, and whole witness process was ensured in video to beginning to end
It is same person.Wherein, whole witness process ensures that to beginning to end be that same person is realized by face recognition technology.
After video is witnessed successfully, witness video is uploaded to background server by system automatically.After the completion of video is uploaded, then show
Show purchase phonecard success.The purchase of user self-help remote phone card and real-name authentication can be realized by above step.
The method for the remote self-help real name purchase phonecard that the present invention is provided has the following advantages relative to prior art
And effect：
1) unique purchase card mode：Human body biological characteristics identification technology is applied to remote self-help by the method that the present invention is provided
Purchase card and system of real name, solve the problem such as authentication and risk management and control during long-range purchase card, meet numerous working clans and
The inconvenient problem of purchase card of rural area remote districts, makes purchase card and system of real name not limited by when and where, can obtain preferable warp
Ji benefit, while also creating good social benefit.
2) customer experience of high-quality：OCR technique is applied to remote self-help purchase card and has ensured whole by the method that the present invention is provided
Individual process is intelligent, and operation is simple and reliable, is easy to training for trade company, should be readily appreciated that for client.Whole process client only needs
It is manually entered phone clip pin, programmed emergency and posting address etc. and is simply input operation, high-quality is brought to client
Experience.
3) high reliability and operability：The business application of the present invention is except using advanced human body biological characteristics identification technology
Carry out authentication and consistency on messaging checking is outer, also judge whether the face captured by scene is true using In vivo detection technology
People, it is ensured that open the authenticity of card user.In addition, also use video witness function preservation audio frequency and video evidence and carry out management and control risk
With anti-repudiation event, having good grounds for card transaction is remotely opened so as to ensure, it is ensured that the legal power of telecom operators and the client that applies for card
Benefit.
The present invention need to only install mobile phone A PP in client, so that it may realize high reliable far distance intelligently purchase card function, and operation
It is simple and convenient, eliminate the expenses such as operator's sales counter shop front, equipment purchase, installation, debugging and maintenance.
The present invention further discloses one kind in addition to disclosing the method for above-mentioned remote self-help real name purchase phonecard
The system that the purchase phonecard of phone chucking method is bought using above-mentioned remote self-help real name.The remote self-help real name buys phonecard
System include login module, identification module, identity and falsely use identification module, cross validation module and user confirming module.
Wherein, login module is used for preliminary identification user identity, after being verified, and starts identification module and carries out identification and mirror
It is fixed.Identification module is used for the authenticity for verifying the ID card information that user uploads, and starts identity after being verified and falsely uses mirror
Cover half block；Identity, which is falsely used, identifies that module is used to verify whether user is true man, is tested when user is true man by ID card information
Demonstrate,prove true man's identity.Surely cross validation module is started when people's identity is consistent with ID card information.Cross validation module is used to obtain
Bank card information, and lead people's information to carry out cross validation with ID card information bank card application, to judge that bank card claims people
Whether it is same person with identity card holder, when verifying that bank card application people holds artificial same person with identity card, hands over
Fork is verified.Afterwards, by customer name, open the identity information such as card number code, identification card number and address and be sent to user and confirm mould
Block, confirms through user.
In embodiment provided by the present invention, the system of remote self-help real name purchase phonecard also includes video and witnesses mould
Block, video witness module is used to carry out user Kai Ka wishes to include preservation, and preservation audio frequency and video evidence carrys out management and control risk to be supported with anti-
Rely event, having good grounds for card transaction is remotely opened so as to ensure, it is ensured that telecom operators and the legitimate rights and interests for opening card client.
In summary, the method that remote self-help real name provided by the present invention buys phonecard, by Internet technology and human body
Biometrics identification technology is applied to remote self-help and purchases card and system of real name, by uploading ID card information, and carries out online checking
Verify the true and false of identity card；Start camera afterwards and shoot face, the face captured by scene is judged using In vivo detection technology
Whether it is true man；The live facial image of shooting and identity card facial image are compared using face recognition technology, judged
Whether it is same people, finally, starts camera and shoots bank card positive and negative, obtains bank's card graphic, recognized using OCR technique
Bank card essential information, and verify whether ID card information and user identity bound in bank card demonstrate,prove information using online checking
Unanimously, after triple checkings succeed, confirmation is shown, errorless rear purchase phonecard success is confirmed.This method ensure that remote
The self-service real name of journey buys the convenience and security of phonecard.
The method and system that remote self-help real name provided by the present invention buys phonecard have been carried out specifically above
It is bright.For those of ordinary skill in the art, on the premise of without departing substantially from true spirit to it done it is any aobvious
And the change being clear to, it will all constitute to infringement of patent right of the present invention, corresponding legal liabilities will be undertaken.
Claims (10)
1. a kind of method that remote self-help real name buys phonecard, it is characterised in that comprise the following steps：
S1, uploads ID card information, and carry out the true and false that ID card information is verified in online checking；If true, then step is turned to
S2；Otherwise, refusal purchase phonecard；
S2, judges whether the face captured by scene is true man using In vivo detection technology；If it is, collection facial image,
Turn to step S3；Otherwise, refusal purchase phonecard；
S3, the facial image of shooting is compared with identity card facial image, judges whether it is same people, if it is, turning
To step S4；Otherwise, Authenticate afresh is once；
S4, shoots bank card positive and negative, obtains bank's card graphic, recognizes bank card essential information, and intersect using online checking
Verify whether the ID card information bound in bank card is consistent with the ID card information of upload, if be proved to be successful, displaying is true
Recognize information, confirm errorless rear handwritten signature, purchase phonecard success；Otherwise, verify again once.
2. the method that remote self-help real name as claimed in claim 1 buys phonecard, it is characterised in that in step sl, described
ID card information is uploaded, and carries out the true and false that ID card information is verified in online checking, is comprised the following steps：
S11, starts mobile phone camera and shoots identity card positive and negative, captured identity card positive and negative image；
S12, the character information on identification identity card surface carries out online checking by the identity card face character information identified,
If finding user profile, the identity card face character information and identity card facial image in checking system are transferred；
S13, the identity card face figure for being returned to the facial image on identity card surface and online checking using face recognition technology
As being compared, its consistency is judged；
S14, when the identity card face character information by identifying carries out online checking, user profile is present；And recognition of face
When the facial image on the identity card surface that technology is identified is consistent with the identity card facial image that online checking is returned, identity card letter
Breath is true；Otherwise, ID card information is false.
3. the method that remote self-help real name as claimed in claim 1 buys phonecard, it is characterised in that in step s 2, is used
In vivo detection technology judges whether the face captured by scene is true man, is comprised the following steps：
S21, starts camera and shoots face, and intercept serial compulsory exercise photo；
Whether S22, carries out the crucial point location of face in the photo of interception, judge to successfully be detected within the defined time all
Required movement；If it is detected turning to step S23；Otherwise, authentication failed；
S23, captures N facial images, face normalization processing is carried out for every facial image, extracts various features value, profit
Score is calculated with SVM classifier, true man are determined whether according to score, wherein N is positive integer.
4. the method that remote self-help real name as claimed in claim 3 buys phonecard, it is characterised in that：
In step S23, N facial images are captured, face normalization processing is carried out for every facial image, a variety of spies are extracted
Value indicative, using SVM classifier calculate score, including the score processing procedure based on diffusion velocity figure and based on image fault analysis
Score processing procedure；Finally the score of two kinds of processing procedures merge obtaining final score.
5. the method that remote self-help real name as claimed in claim 4 buys phonecard, it is characterised in that using based on diffusion speed
The score processing method for spending figure carries out face normalization processing for every facial image, extracts various features value, utilizes SVM points
Class device calculates score, comprises the following steps：
S2311, the random interception image during video verification carries out Face datection and crucial point location, and to the figure of interception
As carrying out face normalization processing, various features value is extracted；
The characteristic value structure extracted in S2312, the Polaroid, secondary imaging stored according to history image and the image being repeatedly imaged
Make SVM classifier；
S2313, inputs SVM classifier by the various features value of extraction, is given a mark, obtain the first fraction.
6. the method that remote self-help real name as claimed in claim 1 buys phonecard, it is characterised in that：
In step s3, the live facial image of shooting and identity card facial image are compared using face recognition technology,
Judge whether it is same people, if it is decided that be not same people, then Authenticate afresh is once；If all identification failures, are exited twice
Application.
7. the method that remote self-help real name as claimed in claim 1 buys phonecard, it is characterised in that in step s 4, displaying
Confirmation, confirms after errorless rear handwritten signature, before purchase phonecard success, also comprises the following steps：
Start camera, open user video witness flow.
8. the method that remote self-help real name as claimed in claim 7 buys phonecard, it is characterised in that：
The user video witness includes double vision frequency witness and single video witness；
Wherein, the double vision frequency witness requires that client face occurs in video, and whole witness process ensures extremely to begin extremely in video
It is same person eventually, and server end has response；
The single video witness, which requires nothing more than client face, to be occurred in video, and whole witness process is ensured in video to beginning to being eventually
Same person.
9. the system that a kind of remote self-help real name buys phonecard, for realizing the remote self-help real name purchase described in claim 1
The method for buying phonecard, it is characterised in that falsely use identification module, cross validation including login module, identification module, identity
Module and user confirm module；
Wherein, the login module is used for preliminary identification user identity, after being verified, and starts the identification module；
The identification module is used for the authenticity for verifying the ID card information that user uploads, and starts the body after being verified
Part falsely uses identification module；
The identity, which is falsely used, identifies that module is used to verify whether user is true man, and true man's identity is verified when user is true man, when
True man's identity starts the cross validation module when consistent with ID card information；
The cross validation module is used to obtain bank card information, and leads people's information to be carried out with ID card information bank card application
Cross validation, when cross validation by after, by identity information be sent to user confirm module, confirm through user.
10. the system that remote self-help real name as claimed in claim 9 buys phonecard, it is characterised in that also witnessed including video
Module；
The video witness module is used to carry out user Kai Ka wishes to include preservation.
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Application publication date: 20170725 |