CN109214825A - High-payment system and method based on finger vein recognition - Google Patents
High-payment system and method based on finger vein recognition Download PDFInfo
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- CN109214825A CN109214825A CN201811080116.5A CN201811080116A CN109214825A CN 109214825 A CN109214825 A CN 109214825A CN 201811080116 A CN201811080116 A CN 201811080116A CN 109214825 A CN109214825 A CN 109214825A
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- 210000003462 vein Anatomy 0.000 title claims abstract description 160
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000000605 extraction Methods 0.000 claims abstract description 22
- 238000001914 filtration Methods 0.000 claims description 23
- 238000003860 storage Methods 0.000 claims description 21
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 6
- 238000012011 method of payment Methods 0.000 claims description 5
- 210000001367 artery Anatomy 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 3
- 230000003760 hair shine Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 13
- 210000003811 finger Anatomy 0.000 description 64
- 230000008859 change Effects 0.000 description 5
- 238000005286 illumination Methods 0.000 description 3
- 238000001990 intravenous administration Methods 0.000 description 3
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 210000003813 thumb Anatomy 0.000 description 2
- 206010010071 Coma Diseases 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 208000010513 Stupor Diseases 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 230000001678 irradiating effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007920 subcutaneous administration Methods 0.000 description 1
- 230000002792 vascular Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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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
- 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
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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
- G06V40/14—Vascular patterns
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Abstract
The invention discloses a high-payment system and a high-payment method based on finger vein recognition, belonging to the field of safe payment. The invention achieves the purpose of a safer high-payment system by using a sequential multi-entry mode technology. The mismatching of the sequence, the input finger vein characteristic value and the interval input can fail, even if finger vein data is stolen, a thief cannot know the input steps of a party, the waiting time of the interval input is short, and the safety is greatly improved; simultaneously, the characteristic value extraction and waiting interval time entering and identification or identification reading and waiting interval time comparison are carried out simultaneously, so that the data processing speed can be greatly increased, the operation is faster and more convenient, a comparison result can be obtained quickly after a user finishes, the user does not need to wait for the comparison result in a lot of time, and the user experience is better.
Description
[technical field]
The present invention relates to safety of payment fields, and in particular to a kind of based on the great number payment system for referring to hand vein recognition and side
Method.
[background technique]
As people are to property safety, advance and the raising of stability requirement, there is an urgent need to a kind of safe and convenient
System, eyeprint is identified due to its high safety and accurate discrimination, while opposite other biological identification technology threshold
Cost is relatively low with scheme, and the eyeprint identification technology of system is all the template data by recording and saving specific user early period, matching
User can possess permission and pay after success, and this recognition methods still has certain risk, for example party is in
It goes into a coma or state of sleeping soundly, is all to be very easy to just be carried out theft use.The scene that current network video frequently uses simultaneously
Under, it is all possible to by the crawl data of hacking technique and being cracked, in addition focusing on safety and intelligence in today's society
Change instantly, people's demand is more more and more intense.It is a kind of improve safety of payment recognition methods occur becoming certain trend.
Vein identification technology is one of biological identification technology, by living to finger or palm medium sized vein image
Body identifies to achieve the purpose that identification certification, has anti-fake height, In vivo detection, precision height, is convenient for the characteristics such as operation.With
Development in science and technology is maked rapid progress, and raising of the people to safety, advance and stability requirement, there is an urgent need to a kind of safe and convenient
System, current some systems such as safe system, storage cabinet system, automotive system etc. has all used password, advanced
Finger hand vein recognition is then used, traditional finger vein identification technology is all individually to refer to vein by record early period and save user
Template data, user can possess permission and enter system after successful match, and this recognition methods still has certain risk,
Such as party is in stupor or state of sleeping soundly, and is very easy to just be stolen, by the crawl data of hacking technique and
It is cracked and is all possible to, it is a kind of that the multiple typing mould of sequence is used based on the great number payment system for referring to hand vein recognition and method
The mode of formula and single while typing different characteristic occurs becoming certain trend.
[summary of the invention]
It is a kind of based on the great number payment system and method that refer to hand vein recognition the present invention is directed to disclose, it solves existing finger vein and knows
The not high problem of other payment system safety, the present invention is in the technology using the multiple typing mode of sequence, to reach one kind more
Safety identification personal information and the purpose for entering system.
The technical scheme adopted by the invention is as follows:
A kind of great number payment system and method based on finger hand vein recognition, the system comprises
Human and machine interface unit, for for user input instruction control refer to hand vein recognition start and terminate, check waiting interval
Entry time and check typing comparing result data；
Data processing unit for receiving the incoming control instruction of human and machine interface unit, and analyzes the instruction, to finger vein figure
As carrying out processing and characteristics extraction, issue characteristic value comparison request, the characteristic value of extraction according to typing sequence with collect in advance
The finger vein pattern value comparison for entering respective sequence, compares the interval entry time of waiting interval entry time and preparatory typing,
Refer to vein pattern value comparing result and interval entry time comparing result carries out and operation, returns and be transmitted to man-machine boundary with operation result
Face unit；
Refer to vein acquiring unit, refers to vein on finger accordingly for referring to that the sequence of vein obtains respectively according to user's typing
Image, and acquisition is referred to that vein image is transmitted to data processing unit according to typing sequence；
Database Unit refers to vein pattern value and feature typing sequence and finger vein interval typing for storing preparatory typing
Time compares request according to the characteristic value of data processing unit and feeds back corresponding correlation data；
Time quantum for providing time data to data processing unit, and gives man-machine interface list time data feedback
Member；
The human and machine interface unit refers to vein acquiring unit, Database Unit and time quantum and data processing unit
Connection.
Further, the data processing unit includes
Image filtering module is filtered for the finger vein image incoming to finger vein acquiring unit and is filtered
Image；
Image binaryzation module carries out two-value to filtering image for receiving the incoming filtering image of image filtering module
Change handles to obtain binary image data,
Image floating-point conversion module, for receiving the incoming binary image data of image binaryzation module, to two-value
Change image data and carry out real-coded GA conversion, obtains floating type image data；
Image characteristics extraction module, for receiving the incoming floating type image data of image floating-point conversion module, and to floating
Point-type image data carries out characteristics extraction, obtains the characteristic value of vein image；
And feature is to module, for receiving the incoming characteristic value of image characteristics extraction module, according to human and machine interface unit
Incoming vein typing interval time initiates interval time comparison request to Database Unit, vein typing interval time and number
It is compared according to the interval time that library returns, then the characteristic that characteristic value is returned with Database Unit is compared, is referred to
Vein pattern value comparing result and interval entry time comparing result progress and operation, return and are transmitted to man-machine interface with operation result
Unit；
Described image filter module is connect through image binaryzation module with image floating-point conversion module, and described image floating-point turns
The output end for changing module connect module with feature through image characteristics extraction module.
Further, the finger vein acquiring unit includes
Lighting module shines for issuing infrared light, and opponent, which refers to, to be irradiated；
And vein shooting module obtains referring to vein image for taking pictures to the finger part that lighting module irradiates, and
Referring to that vein image is transmitted to image filtering module.
Further, the Database Unit includes
Typing interval time memory module, for storing the finger hand vein recognition interval time of preparatory typing, and according to request
The time data compared required for returning；
And characteristic storage module, for storing the finger vein pattern value of preparatory typing；And according to refering in particular to vein pattern value pair
Than request, matched characteristic value required for returning.
Further, the detailed process of the finger vein pattern value of the preparatory typing of characteristic storage module are as follows:
Feature value table storage is established, the every row of feature value table storage is used to store the user information of a user and refers to that vein is special
Value indicative information, not for the user information of the preparatory typing of user and refer to vein pattern be inserted into feature value table storage in order.
Further, described image filter module uses Gassian low-pass filter algorithm, Gauss high pass filtering algorithm or double
Linearly
Filtering algorithm is filtered finger vein image.
A kind of great number method of payment based on finger hand vein recognition, the method for payment include the following steps:
Step 1: click human and machine interface unit, start typing, refer to hand vein recognition, to refer to hand vein recognition finger vein image into
Row characteristics extraction；
Step 2: waiting interval time to be logged, system in advance deposits the finger vein pattern value that the last time extracts with system simultaneously
The finger vein pattern value for storing up corresponding typing sequence compares, and caches comparing result；
Step 3: typing interval time terminates, when system carries out finger hand vein recognition, system while handle last time typing interval
Between compared with the interval entry time stored in Database Unit, cache comparing result；
Step 4: repeating step 2- step 3, after the completion of the identification that user clicks in human and machine interface unit, system is to institute
Some caching comparing results carry out and operation, and the result with operation is returned to human and machine interface unit；
Step 5: when the result with operation is successfully, into amount of money payment flow, when failure, return is re-recognized
Typing.
Further, the typing interval time in the step 2 is accurate to 0.1s, typing interval time and Database Unit
Inside be prestored into interval time comparison when, do difference comparsion, when the absolute value of difference comparison result be less than 0.5s when, matching at
Function, otherwise it fails to match.
It is had the advantage that using technical solution of the present invention
By the present invention in that with the multiple typing pattern technology of sequence, to reach a kind of mesh of safer great number payment system
's.Sequentially, typing refers to that the typing mismatch at vein pattern value and interval can all fail, even if referring to that intravenous data is stolen, theft
Person does not know the typing step of party yet, the waiting time at typing interval, substantially increases safety；It is identified simultaneously in typing
Extraction characteristic value with wait interval time or identification read with wait interval time compare carry out simultaneously, so as to significantly
The processing speed for being added to data, faster, more convenient, available comparing result quickly after user is complete do not need user's use
Many time waits comparing result, and user experience is more preferable.
[Detailed description of the invention]
Fig. 1 is that the present invention is a kind of based on the great number payment system block diagram for referring to hand vein recognition.
Fig. 2 is a kind of data processing unit module frame chart based on the great number payment system for referring to hand vein recognition of the present invention.
Fig. 3 is a kind of finger vein acquiring unit module frame chart based on the great number payment system for referring to hand vein recognition of the present invention.
Fig. 4 is a kind of Database Unit module frame chart based on the great number payment system for referring to hand vein recognition of the present invention.
Fig. 5 is that the present invention is a kind of based on the great number method of payment flow chart for referring to hand vein recognition.
The present invention that the following detailed description will be further explained with reference to the above drawings.
[specific embodiment]
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It should be noted that the term used in embodiments of the present invention is only merely for the mesh of description specific embodiment
, it is not intended to limit the invention." the one of the embodiment of the present invention and singular used in the attached claims
Kind ", " described " and "the" are also intended to including most forms, unless the context clearly indicates other meaning.It is also understood that this
Term "and/or" used herein refers to and includes one or more associated any or all possible group for listing project
It closes.
Term " includes " in description and claims of this specification and above-mentioned attached drawing and " having " and they appoint
What is deformed, it is intended that is covered and non-exclusive is included.Such as contain the process, method, system, production of a series of steps or units
Product or equipment are not limited to listed step or unit, but optionally further comprising the step of not listing or unit, or
Optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
It should be noted that the embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings,
In which the same or similar labels are throughly indicated same or similar element or elements with the same or similar functions.Under
Face is exemplary by reference to the embodiment that attached drawing describes, and for explaining only the invention, and cannot be construed to of the invention
Limitation.
Following disclosure provides many different embodiments or example is used to realize different structure of the invention.For letter
Change disclosure of the invention, hereinafter the component of specific examples and setting are described.Certainly, they are merely examples, and
It is not intended to limit the present invention.In addition, the present invention can in different examples repeat reference numerals and/or letter.It is this heavy
It is for purposes of simplicity and clarity, itself not indicate the relationship between discussed various embodiments and/or setting again.
Referring to Fig. 1, being a kind of great number payment system block diagram based on finger hand vein recognition provided in an embodiment of the present invention, such as
Shown in Fig. 1, the system comprises
Human and machine interface unit 1, for referring to vein typing mode for user's input and checking typing comparing result data；
Data processing unit 2, for receiving the incoming finger vein typing mode of human and machine interface unit 1, to finger vein image
Processing and characteristics extraction are carried out, characteristic value comparison request is issued, the characteristic value of extraction and the finger vein pattern of pre-selection typing
Value comparison returns to comparing result and is transmitted to human and machine interface unit 1；
Refer to vein acquiring unit 3, for obtaining the finger vein image on finger, and handle refers to that vein image is transmitted to data processing
Unit 2；
Database Unit 4 refers to vein pattern value for storing preparatory typing, is compared according to the characteristic value of data processing unit
Corresponding correlation data is fed back in request；
And time quantum 5, for providing time data to data processing unit 5, and man-machine boundary is given time data feedback
Face unit 1；
The human and machine interface unit 1 refers to vein acquiring unit 3, Database Unit 4 and time quantum 5 and data processing
Unit 2 connects.
Refer to the vascular distribution figure formed when vein biometric identification technology is exactly superficial vein subcutaneous through finger using blood stream
Case carries out identity authentication method as biological characteristic.Refer to that vein is by blood stream unlike fingerprint static state biometric image
The dynamic dynamic image constituted.He is a kind of vivo identification technology.This feature will disappear after being detached from human body, be difficult to be stolen.
Meanwhile everyone finger vein image is different from, and has uniqueness.It is most safe and reliable biological identification technology.Man-machine boundary
Face unit 1 is touch display screen or key and voice module, and user can input the mould for needing typing by touch display screen
Formula, then touch display screen feedback shows the comparing result of typing.Key user can also by the mode of key-press input typing,
Typing comparing result and other information etc. are listened to by voice module.What human and machine interface unit 1 played is between people and machine part
Information interchange.Data processing unit 2 plays the role of center brain, the processing to image, and comparison etc. uses DSP
Processor, so that processing speed is faster.After referring to that vein acquiring unit 3 is illuminated by illumination opponent's fingering row, it is possible to visualise sell
Then the vein of finger carries out the image for obtaining and referring to vein of taking pictures again.Finger of the Database Unit 4 to registered in advance or preparatory typing
Vein pattern value store by mode, is requested according to the comparison in later period, returns to corresponding correlation data.
In embodiments of the present invention, as shown in Fig. 2, the data processing unit includes
Image filtering module 21, for being filtered to obtain to the finger vein image for referring to that vein acquiring unit 3 is passed to
Filtering image；
Image binaryzation module 22 carries out filtering image for receiving the incoming filtering image of image filtering module 21
Binary conversion treatment obtains binary image data,
Image floating-point conversion module 23, it is right for receiving the incoming binary image data of image binaryzation module 22
Binary image data carry out real-coded GA conversion, obtain floating type image data；
Image characteristics extraction module 24, for receiving the incoming floating type image data of image floating-point conversion module 23, and
Characteristics extraction is carried out to floating type image data, obtains the characteristic value of vein image；
And feature is to module 25, for receiving the incoming characteristic value of image characteristics extraction module 24, according to man-machine interface
The incoming vein typing interval time of unit 1 initiates interval time comparison request to Database Unit, when vein typing interval
Between interval time for being returned with database compare, then the characteristic that characteristic value and Database Unit return is carried out pair
Than referring to vein pattern value comparing result and interval entry time comparing result carries out and operation, return and be transmitted to people with operation result
Machine boundary element；
Described image filter module 21 is connect through image binaryzation module 22 with image floating-point conversion module 23, described image
The output end of floating-point conversion module 23 connect module 25 with feature through image characteristics extraction module 24.
After being filtered by 21 pairs of finger vein images of image filtering module, some impurity or noise-filtering are fallen,
So that the special zone of the characteristic value in later period is more accurate, the result of comparison is more accurate, improves processing accuracy.Image binaryzation
Image is carried out gray proces by module 22, so that image becomes simply, data volume is less, but will not lack necessary image again
Characteristic, can be with speed up processing.Image floating-point conversion module 23 is by can be very good to image data micronization processes
Meet the requirement of real-time.
In embodiments of the present invention, as shown in figure 3, the finger vein acquiring unit includes
Lighting module 31 shines for issuing infrared light, and opponent, which refers to, to be irradiated；
And vein shooting module 32, the finger part for irradiating to lighting module 31 are taken pictures, and obtain referring to vein figure
Picture, and handle refers to that vein image is transmitted to image filtering module 21.
Finger inductive pick-up is placed on lighting module 31, after finger is put down, illumination is lighted, and illumination is infrared ray
It looks after, opponent, which refers to, to be irradiated, so that clearly showing the vein situation of finger.Vein shooting module 32 uses infrared
Line image, so that the image taken pictures is clearer, more preferable phenomenon vein situation.
In embodiments of the present invention, as shown in figure 4, the Database Unit includes
Typing interval time memory module 41, for storing the finger hand vein recognition interval time of preparatory typing, and according to asking
Seek the time data compared required for returning；
And characteristic storage module 42, for storing the finger vein pattern value of preparatory typing；And according to refering in particular to vein pattern value
Comparison request, matched characteristic value required for returning.
By the way that typing interval time is stored separately with the data for referring to vein pattern, data can be greatly increased
Safety, while can also greatly increase the speed of data comparison.According to different correlation datas, corresponding modes are fed back to
The data of storage reduce the retrieval that the data of another mode storage are also not necessarily in comparison.
In embodiments of the present invention, the detailed process of the finger vein pattern value of the preparatory typing of characteristic storage module are as follows:
Feature value table storage is established, the every row of feature value table storage is used to store the user information of a user and refers to that vein is special
Value indicative information is in order inserted into the user information and finger vein pattern of the preparatory typing of user in feature value table storage.The spy
Value indicative storage table includes several rows and 3628801 column, first row for storing user basic information, behind 3628800 column be used for
Storage refers to vein pattern value information, and the characteristic value of the finger vein of each finger is stored in each column of particular row, from secondary series
It stores backward, the column not stored directly are left a blank.
It is stored by data of every row to a user, while ten fingers is had according to everyone, therefore arranged
Column combination obtains corresponding possible data splitting.Ten fingers, therefore be quite 10 different data, it carries out obtaining A5 5Kind can
The data of energy, therefore the characteristic value storage columns being arranged is above-mentioned number, is more accelerated in comparison retrieving, and safe
Property is higher.
In embodiments of the present invention, described image filter module is calculated using Gassian low-pass filter algorithm, Gauss high-pass filtering
Method or bilinear filter algorithm are filtered finger vein image.It is filtered by these, so that referring to vein image
It is more accurate, improve the accuracy rate of comparison.
A kind of great number method of payment based on finger hand vein recognition, the method for payment include the following steps:
Step 1: click human and machine interface unit, start typing, refer to hand vein recognition, to refer to hand vein recognition finger vein image into
Row characteristics extraction.
Step 2: waiting interval time to be logged, system in advance deposits the finger vein pattern value that the last time extracts with system simultaneously
The finger vein pattern value of storage compares, and caches comparing result.Typing interval time is accurate to 0.1s, typing interval time and number
When according to the interval time comparison being prestored into library unit, difference comparsion is done, when the absolute value of difference comparison result is less than 0.5s,
Successful match, otherwise it fails to match.
Step 3: typing interval time terminates, when system carries out finger hand vein recognition, system while handle last time typing interval
Between compared with the interval entry time stored in Database Unit, cache comparing result.
Step 4: repeating step 2- step 3, after the completion of the identification that user clicks in human and machine interface unit, system is to institute
Some caching comparing results carry out and operation, and the result with operation is returned to human and machine interface unit.
Step 5: when the result with operation is successfully, into amount of money payment flow, when failure, return is re-recognized
Typing.
By using the technology of the multiple typing pattern-recognition of sequence, to reach a kind of safer identification great number payment system
Purpose, described great number is the payment that single pays 50,000 yuan or more in my scheme.Sequentially, typing refer to vein pattern value and
Wait interval entry time mismatch that can all fail, even if referring to that intravenous data is stolen, thief does not know the record of party yet
Enter step, substantially increases safety.
Concrete example:
The finger intravenous data of user a preparatory typing originally is first are as follows: " left hand thumb refers to vein " waits interval typing
Time is " 5 seconds ", second are as follows: " left index finger refers to vein ", waiting interval entry time is " 10 seconds ", third are as follows: " the right hand
Index finger refers to vein ", wait interval entry time for " 8 seconds ", the 4th are as follows: when " right hand index finger refers to vein ", needing progress high
The sequence that when volume payment verification must be typing is also first are as follows: and " left hand thumb refers to vein ", it is then intermediate to wait interval
Time is -5.5 seconds 4.5 seconds, second are as follows: " left index finger refers to vein ", it is -10.5 seconds 9.5 seconds that centre, which waits interval time,
Three are as follows: " right hand index finger refers to vein ", it is -8.5 seconds 7.5 seconds, the 4th are as follows: " right hand index finger refers to quiet that centre, which waits interval time,
Arteries and veins " can just identify success in this way.When one of sequence exchange or the finger vein pattern value comparison of one of them are unsuccessful
Or when the waiting time difference of interval, last comparing result is cannot be successful.Only all comparing results are successful
After can carry out great number payment, so as to greatly improve great number payment safety.
Wherein, wait interval time that can show that user inputs next by touch screen in human and machine interface unit 1
When secondary finger hand vein recognition, the waiting time just stops, and the time at this time is the interval time waited.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of based on the great number payment system for referring to hand vein recognition, it is characterised in that: the system comprises
Human and machine interface unit, for for user input instruction control refer to hand vein recognition start and terminate, check waiting interval typing
Time and check typing comparing result data；
Data processing unit for receiving the incoming control instruction of human and machine interface unit, and analyzes the instruction, to refer to vein image into
Row processing and characteristics extraction issue characteristic value comparison request, the characteristic value of extraction according to typing sequence with preselect typing phase
It answers the finger vein pattern value of sequence to compare, waiting the interval entry time of interval entry time and preparatory typing to compare, refers to quiet
Arteries and veins characteristic value comparing result and interval entry time comparing result progress and operation, return and are transmitted to man-machine interface list with operation result
Member；
Refer to vein acquiring unit, refers to vein figure on finger accordingly for referring to that the sequence of vein obtains respectively according to user's typing
Picture, and acquisition is referred to that vein image is transmitted to data processing unit according to typing sequence；
Database Unit, when referring to vein pattern value and feature typing sequence for storing preparatory typing and refer to the typing of vein interval
Between, request is compared according to the characteristic value of data processing unit and feeds back corresponding correlation data；
Time quantum, for providing time data to data processing unit, and time data feedback to human and machine interface unit；
The human and machine interface unit refers to that vein acquiring unit, Database Unit and time quantum are connect with data processing unit.
2. according to claim 1 a kind of based on the great number payment system for referring to hand vein recognition, it is characterised in that: the data
Processing unit includes
Image filtering module, for being filtered to obtain filtering figure to the finger vein image for referring to that vein acquiring unit is passed to
Picture；
Image binaryzation module carries out at binaryzation filtering image for receiving the incoming filtering image of image filtering module
Reason obtains binary image data,
Image floating-point conversion module, for receiving the incoming binary image data of image binaryzation module, to binary picture
As data progress real-coded GA conversion, floating type image data is obtained；
Image characteristics extraction module, for receiving the incoming floating type image data of image floating-point conversion module, and to floating type
Image data carries out characteristics extraction, obtains the characteristic value of vein image；
Feature is passed to module for receiving the incoming characteristic value of image characteristics extraction module according to human and machine interface unit
Vein typing interval time initiates interval time comparison request to Database Unit, and vein typing interval time is returned with database
The interval time returned compares, and then the characteristic that characteristic value is returned with Database Unit is compared, and refers to vein spy
Value indicative comparing result and interval entry time comparing result progress and operation, return to operation result and are transmitted to human and machine interface unit；
Described image filter module is connect through image binaryzation module with image floating-point conversion module, and described image floating-point converts mould
The output end of block connect module with feature through image characteristics extraction module.
3. according to claim 2 a kind of based on the great number payment system for referring to hand vein recognition, it is characterised in that: the finger is quiet
Arteries and veins acquiring unit includes
Lighting module shines for issuing infrared light, and opponent, which refers to, to be irradiated；
Vein shooting module obtains referring to vein image, and quiet referring to for taking pictures to the finger part that lighting module irradiates
Arteries and veins image is transmitted to image filtering module.
4. according to claim 3 a kind of based on the great number payment system for referring to hand vein recognition, it is characterised in that: the data
Library unit includes
Typing interval time memory module is returned for storing the finger hand vein recognition interval time of preparatory typing, and according to request
The time data of required comparison；
Characteristic storage module, for storing the finger vein pattern value of preparatory typing；And requested according to the comparison of vein pattern value is refered in particular to,
Matched characteristic value required for returning.
5. according to claim 4 a kind of based on the great number payment system for referring to hand vein recognition, it is characterised in that: the feature
The detailed process of the finger vein pattern value of the preparatory typing of memory module are as follows:
Feature value table storage is established, the every row of feature value table storage is used to store the user information of a user and refers to vein pattern value
Information is in order inserted into the user information and finger vein pattern of the preparatory typing of user in feature value table storage.
6. according to claim 2 a kind of based on the great number payment system for referring to hand vein recognition, it is characterised in that: described image
Filter module is using Gassian low-pass filter algorithm, Gauss high pass filtering algorithm or bilinear filter algorithm to finger vein image
It is filtered.
7. a kind of based on the great number method of payment for referring to hand vein recognition, which is characterized in that the method for payment includes the following steps:
Step 1: clicking human and machine interface unit, start typing, refer to hand vein recognition, spy is carried out to the finger vein image for referring to hand vein recognition
Value indicative is extracted；
Step 2: waiting interval time to be logged, the finger vein pattern value and system that system simultaneously extracts the last time are pre-stored
The finger vein pattern value of corresponding typing sequence compares, and caches comparing result；
Step 3: typing interval time terminates, and system carries out finger hand vein recognition, system simultaneously last typing interval time with
The interval entry time stored in Database Unit compares, and caches comparing result；
Step 4: repeating step 2- step 3, after the completion of the identification that user clicks in human and machine interface unit, system is to all
Comparing result progress and operation are cached, the result with operation is returned to human and machine interface unit；
Step 5: when the result with operation is successfully, into amount of money payment flow, when failure, return re-recognizes record
Enter.
8. according to claim 7 a kind of based on the great number method of payment for referring to hand vein recognition, it is characterised in that: the step
Typing interval time in 2 is accurate to 0.1s, when the interval time being prestored into typing interval time and Database Unit compares,
Difference comparsion is done, when the absolute value of difference comparison result is less than 0.5s, successful match, otherwise it fails to match.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811080116.5A CN109214825A (en) | 2018-09-17 | 2018-09-17 | High-payment system and method based on finger vein recognition |
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| CN201811080116.5A CN109214825A (en) | 2018-09-17 | 2018-09-17 | High-payment system and method based on finger vein recognition |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111931609A (en) * | 2020-07-24 | 2020-11-13 | 广州市公共交通数据管理中心 | Hand vein or vein feature recognition and payment method for public transport means |
| CN112633216A (en) * | 2020-12-30 | 2021-04-09 | 深兰盛视科技（苏州）有限公司 | Identity recognition method and device, electronic equipment and storage medium |
-
2018
- 2018-09-17 CN CN201811080116.5A patent/CN109214825A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111931609A (en) * | 2020-07-24 | 2020-11-13 | 广州市公共交通数据管理中心 | Hand vein or vein feature recognition and payment method for public transport means |
| CN112633216A (en) * | 2020-12-30 | 2021-04-09 | 深兰盛视科技（苏州）有限公司 | Identity recognition method and device, electronic equipment and storage medium |
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