CN108133374A - System is verified in a kind of mobile payment - Google Patents
System is verified in a kind of mobile payment Download PDFInfo
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- CN108133374A CN108133374A CN201810022605.9A CN201810022605A CN108133374A CN 108133374 A CN108133374 A CN 108133374A CN 201810022605 A CN201810022605 A CN 201810022605A CN 108133374 A CN108133374 A CN 108133374A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
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- 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
- G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
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- 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
- G06V10/30—Noise filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/757—Matching configurations of points or features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
- G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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Abstract
The present invention provides a kind of mobile payments to verify system, including mobile terminal and high in the clouds, the mobile terminal includes image capture module, image rotation module, characteristics of image processing module, palm print characteristics matching module and display module, described image acquisition module and image rotation module wired connection, for acquiring the original palmprint image of user；Described image rotary module and described image feature processing block wired connection, for carrying out noise reduction and enhancing processing to the original palmprint image of user；The palm print characteristics matching module and the display module wired connection.The standard palmprint image that the present invention stores after handling the palmprint image of user with high in the clouds again carries out matching evaluation, improves the accuracy of palmprint feature extraction, maintains the property safety of user.
Description
Technical field
The present invention relates to biometric authentication identification technology fields, and in particular to system is verified in a kind of mobile payment.
Background technology
As mobile Internet and mobile payment are in the rapid development in China, the means of payment of city dweller's daily life
Mobile banking has been turned to by paying in cash.The main verification mode of mobile-phone payment includes the payment of input password and fingerprint at present
Validation of payment, it is apparent to be manually entered password payment shortcoming, such as the relatively high long password of safety coefficient is difficult to remember, and easy
The numerical ciphers of memory are easily cracked.Fingerprint authentication payment is the relatively high verification mode of safety coefficient, but due to referring to
The area of line verification is smaller, and the characteristic point of extraction is limited, belongs to relatively simple, safety coefficient in biological characteristics identity recognizing technology
Relatively low one kind.Compared to fingerprint, palmmprint has the characteristics that abundant information, and can be non-contact during progress palmmprint verification,
Without separately putting verification device, therefore line verification is following most possibly as the mode of mobile payment verification to the palm.
Invention content
In view of the above-mentioned problems, the present invention is intended to provide system is verified in a kind of mobile payment.
The purpose of the present invention is realized using following technical scheme：
System is verified in a kind of mobile payment, including mobile terminal and high in the clouds, the mobile terminal include image capture module,
Image rotation module, characteristics of image processing module, palm print characteristics matching module and display module, described image acquisition module and figure
As rotary module wired connection, for acquiring the original palmprint image of user；Described image rotary module and described image feature
Processing module wired connection, for carrying out noise reduction and enhancing processing to the original palmprint image of user；The palm print characteristics
With module and the display module wired connection.
Beneficial effects of the present invention are：The standard that the present invention stores after handling the palmprint image of user with high in the clouds again
Palmprint image carries out matching evaluation, improves the accuracy of palmprint feature extraction, maintains the property safety of user.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not form any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the frame construction drawing of the present invention.
Reference numeral：
Mobile terminal 1, high in the clouds 2, image capture module 101, image rotation module 102, characteristics of image processing module 103,
Palm print characteristics matching module 104 and display module 105.
Specific embodiment
With reference to following application scenarios, the invention will be further described.
Referring to Fig. 1, a kind of mobile payment verification system of the present embodiment, including mobile terminal 1 and high in the clouds 2, the movement
Terminal 1 includes image capture module 101, image rotation module 102, characteristics of image processing module 103, palm print characteristics matching module
104 and display module 105, described image acquisition module 101 and 102 wired connection of image rotation module, for acquiring user's
Original palmprint image；Described image rotary module 102 and 103 wired connection of described image feature processing block, for user
Original palmprint image carry out noise reduction and enhancing processing；The palm print characteristics matching module 104 has with the display module 105
Line connects.
Preferably, the standard palm print information of the individual subscriber of prior typing is stored in the high in the clouds.
Preferably, the mobile terminal is the smart mobile phone or tablet computer of individual subscriber.
The above embodiment of the present invention, the standard palmprint image stored again with high in the clouds after handling the palmprint image of user
Matching evaluation is carried out, improves the accuracy of palmprint feature extraction, maintains the property safety of user.
Preferably, described image acquisition module is the rear camera that smart mobile phone or tablet computer carry；
After described image acquisition module collects the original palmprint image of user, by wire transmission, by original palmmprint
To described image rotary module, described image rotary module is judged and is carried out to the direction of original palmprint image image transmitting
Adjustment.In the process, primarily directed to palmmprint crestal line carry out feature-extraction analysis, the present invention using based on the method for gradient come
Original palmprint image ridge direction character value is extracted, wherein self-defined gradient formula is：
Wherein, T (m, n) represents original palmprint image in the ridge direction character value of point (m, n), 0≤T (m, n)≤180 °, β
Represent angle modification coefficient,WithIt is that original palmprint image is converted along the gradient on a and b directions respectively, tab(m, n) point
Gradient average value on not representing a size using centered on (m, n) as 17 × 17 regional areas along the positive angle directions of ab, p tables
Show the radius collapsing length of m axis directions, q represents the radius collapsing length of n axis directions；
After obtaining the ridge direction character of original palmprint image, to the original palm on the basis of the direction character of standard palmprint image
The direction of print image is adjusted so that and the crestal line of original palmprint image farthest can be in the same direction with standard palmprint image,
So as to make two same or similar features of palmprint image as close possible to.
The above embodiment of the present invention asks for the ridge direction character of original palmprint image, energy using based on the method for gradient
Enough accuracys improved when carrying out original palmprint image rotation so that the operation of image rotation module is more flexible, improves and uses
Speed of the family when using smart mobile phone or tablet computer carries out payment verification, enhances user experience.
Preferably, described image feature processing block using wave filter enhance pre- to the original palmprint image after adjustment
Processing and binary conversion treatment, specially：
(1) denoising is carried out to original palmprint image using self-defined filter function：
When | nδDuring |≤T,
Work as nδDuring ＞ T or n δ ＜ T,
Wherein,Represent self-defined filter function, mδ=mcos δ+nsin δ, nδ=-mcos δ+nsin δ, m and n represent two
A different axis direction, ζ are the radian frequencies of unit length, and δ represents filter direction, and ζ and δ are respectively set to current location and go out
Ridge frequency and ridge direction, λ and ν represent wave filter respectively along the oval deviation in m and n axis directions, T represents time coefficient, and A is
Original palmprint image,The pretreatment palmprint image obtained after being pre-processed for enhancing,For convolution algorithm；
(2) binary conversion treatment is carried out to the palmprint image after denoising：
Wherein, A*For the target palmprint image after binaryzation.
The above embodiment of the present invention carries out denoising using self-defined wave filter to the original palmprint image that user voluntarily shoots
And enhancing pre-processes, and is conducive to eliminate the noise of the original palmprint image of non-contact acquisition under varying environment, after substantially reducing
The error of continuous palm print characteristics matching module improves verification accuracy, maintains the financial payment safety of user.
Preferably, the palm print characteristics matching module to the target palmprint image after binaryzation and the palmprint image of standard into
Row Characteristic Contrast calculates the matching degree of two images, wherein the self-defined matching evaluation function used is：
Wherein, matching degrees of the η for target palmprint image and standard palmprint image, W1、W2Target palmprint image is represented respectively
It counts out with the minutia of standard palmprint image；
The display module is the smart mobile phone or tablet personal computer display screen of individual subscriber, as η >=C, opens automatic branch
It pays, and shows " paying successfully " printed words；As η ＜ C, payment is terminated, and show " authentication failed " printed words.
The above embodiment of the present invention carries out verification judgement to the palmprint image after binaryzation, improves the number of signature verification
Amount improves the accuracy of verification identification, has concurrently set matching degree threshold value so that in inevitable machine error range
Interior, the accuracy of verification reaches highest, and the accuracy of verification identification is ensure that while arithmetic speed is not reduced, and is user's
Safety of payment provides good guarantee.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention rather than the present invention is protected
The limitation of range is protected, although being explained in detail with reference to preferred embodiment to the present invention, those of ordinary skill in the art should
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. system is verified in a kind of mobile payment, it is characterized in that, including mobile terminal and high in the clouds, the mobile terminal is adopted including image
Collect module, image rotation module, characteristics of image processing module, palm print characteristics matching module and display module, described image acquisition
Module and image rotation module wired connection, for acquiring the original palmprint image of user；Described image rotary module with it is described
Characteristics of image processing module wired connection, for carrying out noise reduction and enhancing processing to the original palmprint image of user；The palm
Line characteristic matching module and the display module wired connection.
2. a kind of mobile payment verification system according to claim 1, it is characterized in that, prior record is stored in the high in the clouds
The standard palmprint image of the individual subscriber entered.
3. a kind of mobile payment verification system according to claim 2, it is characterized in that, the mobile terminal is individual subscriber
Smart mobile phone or tablet computer.
4. a kind of mobile payment verification system according to claim 3, it is characterized in that, described image acquisition module is intelligence
The rear camera that mobile phone or tablet computer carry；
After described image acquisition module collects the original palmprint image of user, by wire transmission, by original palmprint image
Described image rotary module is transmitted to, described image rotary module is judged and adjusted to the direction of original palmprint image
It is whole.In the process, feature-extraction analysis is carried out primarily directed to palmmprint crestal line, the present invention is utilized to be carried based on the method for gradient
Original palmprint image ridge direction character value is taken, wherein self-defined gradient formula is：
Wherein, T (m, n) represents original palmprint image in the ridge direction character value of point (m, n), 0≤T (m, n)≤180 °, β expressions
Angle modification coefficient,WithIt is that original palmprint image is converted along the gradient on a and b directions respectively, tab(m, n) difference table
Gradient average value on showing a size using centered on (m, n) as 17 × 17 regional areas along the positive angle directions of ab, p represent m
The radius collapsing length of axis direction, q represent the radius collapsing length of n axis directions；
After obtaining the ridge direction character of original palmprint image, to original palmmprint figure on the basis of the direction character of standard palmprint image
The direction of picture is adjusted so that and the crestal line of original palmprint image farthest can be in the same direction with standard palmprint image, so as to
Make two same or similar features of palmprint image as close possible to.
5. a kind of mobile payment verification system according to claim 3, it is characterized in that, described image feature processing block pair
Original palmprint image after adjustment carries out enhancing pretreatment and binary conversion treatment using wave filter, specially：
(1) denoising is carried out to original palmprint image using self-defined filter function：
When | nδDuring |≤T,
Work as nδ>T or nδ<During T,
Wherein,Represent self-defined filter function, mδ=mcos δ+nsin δ, nδ=-mcos δ+nsin δ, m and n represent two differences
Axis direction, ζ is the radian frequency of unit length, and δ represents filter direction, and ζ and δ are respectively set to the ridge frequency that current location goes out
Rate and ridge direction, λ and ν represent wave filter along the oval deviation in m and n axis directions respectively, and T represents time coefficient, and A is the original palm
Print image,The pretreatment palmprint image obtained after being pre-processed for enhancing,For convolution algorithm；
(2) binary conversion treatment is carried out to the palmprint image after denoising：
Wherein, A*For the target palmprint image after binaryzation.
6. a kind of mobile payment verification system according to claim 3, it is characterized in that, the palm print characteristics matching module pair
The palmprint image of target palmprint image and standard after binaryzation carries out Characteristic Contrast, calculates the matching degree of two images, wherein
The self-defined matching evaluation function used is：
Wherein, matching degrees of the η for target palmprint image and standard palmprint image, W1、W2Target palmprint image and mark are represented respectively
The minutia of quasi- palmprint image is counted out；
The display module is the smart mobile phone or tablet personal computer display screen of individual subscriber, as η >=C, opens automatic payment, and
Show " paying successfully " printed words；Work as η<C terminates payment, and shows " authentication failed " printed words.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810022605.9A CN108133374A (en) | 2018-01-10 | 2018-01-10 | System is verified in a kind of mobile payment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810022605.9A CN108133374A (en) | 2018-01-10 | 2018-01-10 | System is verified in a kind of mobile payment |
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| Publication Number | Publication Date |
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| CN108133374A true CN108133374A (en) | 2018-06-08 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810022605.9A Pending CN108133374A (en) | 2018-01-10 | 2018-01-10 | System is verified in a kind of mobile payment |
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104951940A (en) * | 2015-06-05 | 2015-09-30 | 西安理工大学 | Mobile payment verification method based on palmprint recognition |
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2018
- 2018-01-10 CN CN201810022605.9A patent/CN108133374A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104951940A (en) * | 2015-06-05 | 2015-09-30 | 西安理工大学 | Mobile payment verification method based on palmprint recognition |
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Application publication date: 20180608 |
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