CN107169444A - Finger vein recognition system and method based on smart mobile phone separating treatment - Google Patents
Finger vein recognition system and method based on smart mobile phone separating treatment Download PDFInfo
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- CN107169444A CN107169444A CN201710329102.1A CN201710329102A CN107169444A CN 107169444 A CN107169444 A CN 107169444A CN 201710329102 A CN201710329102 A CN 201710329102A CN 107169444 A CN107169444 A CN 107169444A
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- mobile phone
- finger
- finger vena
- acquisition terminal
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
-
- 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
Abstract
The invention provides a kind of finger vein recognition system based on smart mobile phone separating treatment and method, its system includes finger vena acquisition terminal and intelligent mobile phone platform, and finger vena acquisition terminal includes near infrared light source module, near-infrared camera, microcontroller and the first wireless communication module；The finger vena information that intelligent mobile phone platform is uploaded by wireless communication receiver finger vena acquisition terminal, extracts the signal characteristic of finger vena information, and is fed back in finger vena acquisition terminal；Finger vena acquisition terminal with default signal characteristic in database by matching, final output finger vena recognition result.Its effect is, reduce hardware platform cost, make full use of the ability of hardware handles digital picture on existing mobile phone, existing system is effectively overcome because hardware cost is higher and is difficult to the defect that market is popularized, the data volume transmitted simultaneously between equipment is relatively fewer, and the real-time of information processing has been effectively ensured.
Description
Technical field
The present invention relates to finger vein identification technology, and in particular to a kind of finger vena based on smart mobile phone separating treatment
Identifying system and method.
Background technology
Existing finger vein identification technology is the equipment platform being combined together based on collection and processing, collects finger
After vein image data, then pre-processed, feature extraction and certification identification, due to finger venous image contrast and signal to noise ratio
All than relatively low, it is necessary to more complicated enhancing algorithm, such as gabor filtering, need to use SURF etc. in terms of feature extraction multiple
Miscellaneous local feature region is extracted, and extracts and compression is also needed to after feature, and above-mentioned algorithm is related to accuracy of identification, there is substantial amounts of floating number
And interative computation, that is, require that the equipment platform has very strong computing capability and larger memory headroom.
At present, finger vena identification equipment on the market be mostly integrate collection and handle, device hardware cost compared with
It is high, it is difficult to meet a wide range of promote.
The content of the invention
For defect of the prior art, present invention firstly provides a kind of finger vena based on smart mobile phone separating treatment
Identifying system, the system is by finger vena collection and information processing separating treatment, by means of existing smart mobile phone, by complexity
Processing Algorithm is transplanted on smart mobile phone, effectively reduction system hardware cost, is easy to promote.
To achieve the above object, concrete technical scheme of the present invention is as follows：
A kind of finger vein recognition system based on smart mobile phone separating treatment, it including finger vena it is critical that adopt
Collect terminal and intelligent mobile phone platform, realized and believed by radio communication between the finger vena acquisition terminal and intelligent mobile phone platform
Breath interaction, wherein：
The finger vena acquisition terminal includes near infrared light source module, near-infrared camera, microcontroller and first
Wireless communication module, the near infrared light source module and near-infrared camera module are oppositely arranged, and be reserved with is used for therebetween
The collection groove of finger is placed, on the one hand the microcontroller is used for the intensity of illumination for controlling the infrared light supply module, the opposing party
Face gathers finger vena information by the near-infrared camera, and is uploaded to intelligent hand by first wireless communication module
Machine platform；
The intelligent mobile phone platform is provided with the second wireless communication module matched with first wireless communication module,
The intelligent mobile phone platform receives the finger vena that the finger vena acquisition terminal is uploaded by second wireless communication module
Signal processor in information, intelligent mobile phone platform extracts the signal characteristic of finger vena information, and it is quiet to be fed back to finger
In arteries and veins acquisition terminal；
Finger vena acquisition terminal with default signal characteristic in database by matching, the identification of final output finger vena
As a result.
Based on said system, four identification process that the present invention functionally recognizes finger vena (collection, pretreatment,
Feature extraction and matching is recognized) to separate, it would be desirable to the pretreatment and feature extraction of a large amount of computing resources move to smart mobile phone
It is upper to carry out, the function of original live live body collection and certification is retained on finger vena acquisition terminal, finger vena is simplified
The design of identification terminal, need to only retain collection and simple matching feature, so as to reduce computing resource requirement, save system hardware
Cost.
Further, be provided with the intelligent mobile phone platform kernel, digital signal processor, graphics processing unit and
Liquid crystal display, digital signal processor is mainly used in the pretreatment of image information, and graphics processing unit is used to realize that image is special
Levy extraction.
Further, first wireless communication module and the second wireless communication module are bluetooth module, naturally it is also possible to
Using other communications, such as WiFi network.
Further, the finger vena acquisition terminal is provided with Quick Response Code, the intelligent mobile phone platform passes through scanning
The Quick Response Code AutoLink enters server, and downloads the processing software for realizing finger vena identification.
Based on said system design, the present invention also proposes a kind of finger vena identification side based on smart mobile phone separating treatment
Method, is followed the steps below：
S1：Finger venous image is gathered by finger vena acquisition terminal；
S2：The finger venous image encryption that finger vena acquisition terminal is gathered to step S1；
S3：Finger venous image after encryption is uploaded to intelligent hand by finger vena acquisition terminal by communication
Machine platform；
S4：Reduction is decrypted to the finger venous image after encryption in intelligent mobile phone platform；
S5：Intelligent mobile phone platform carries out image enhancement processing to the finger venous image after decryption reduction；
S6：Intelligent mobile phone platform carries out feature extraction to enhanced finger venous image, obtains characteristic vector；
S7：Intelligent mobile phone platform is compressed encryption to the characteristic vector after extraction；
S8：Intelligent mobile phone platform downloads to the characteristic vector compressed after encryption in finger vena acquisition terminal；
S9：Processing is decrypted to the characteristic vector of download in finger vena acquisition terminal；
S10：Finger vena acquisition terminal judges whether the characteristic vector downloaded is used to carry out judgement identification, if it is,
Into step S11, otherwise, this feature vector is the characteristic vector for registration, is stored it in database；
S11:Finger vena acquisition terminal by the characteristic vector and database after decryption each characteristic vector carry out
Match somebody with somebody；
S12：By the outside output matching result of the finger vena acquisition terminal.
Further, the intelligent mobile phone platform is additionally provided with is placed into finger vena for exporting prompting user by finger
Step on acquisition terminal.
Further, the image encryption in step S2 uses chaos logistic scrambling encryptions.
Further, the key of the chaos logistic scrambling encryptions is random daily by the finger vena acquisition terminal
Produce, and shaken hands with the intelligent mobile phone platform be connected when, intelligent mobile phone platform is sent to by handshake.
Further, the original image size that the near-infrared camera in the finger vena acquisition terminal is acquired is
320*240, microcontroller is done the encryption process again after being cut to 160*64 size, by image cropping, only selects that portion
The picture for carrying vein image information is divided to carry out strange land processing, so as to effectively reduce the transmission quantity of data.
Beneficial effects of the present invention：
The present invention separates finger vein image acquisition and identification processing procedure, simplifies finger vena identification collecting device
Hardware and software, reduce the microcontroller in its hardware platform cost, acquisition platform only need to control camera, light source and with nothing
Line communication module, makes full use of the ability of hardware handles digital picture on existing mobile phone, effectively overcome existing system because
For the higher defect for being difficult to market popularization of hardware cost, while the data volume transmitted between equipment is relatively fewer, it is effectively ensured
The real-time of information processing.
Brief description of the drawings
, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical scheme of the prior art
The accompanying drawing used required in embodiment or description of the prior art is briefly described.
Fig. 1 is system principle diagram of the invention；
Fig. 2 is message processing flow figure of the invention.
Embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with accompanying drawing.Following examples are only used for
Clearly illustrate technical scheme, therefore be only used as example, and the protection model of the present invention can not be limited with this
Enclose.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
As shown in figure 1, a kind of finger vena identification system based on smart mobile phone separating treatment is provided in the present embodiment first
System, including finger vena acquisition terminal and intelligent mobile phone platform, between the finger vena acquisition terminal and intelligent mobile phone platform
Information exchange is realized by wireless communication module, wherein：
The finger vena acquisition terminal includes near infrared light source module, near-infrared camera, microcontroller and first
Wireless communication module, the near infrared light source module and near-infrared camera module are oppositely arranged, and be reserved with is used for therebetween
The collection groove of finger is placed, on the one hand the microcontroller is used for the intensity of illumination for controlling the infrared light supply module, the opposing party
Face gathers finger vena information by the near-infrared camera, and is uploaded to intelligent hand by first wireless communication module
Machine platform；
The intelligent mobile phone platform is provided with the second wireless communication module matched with first wireless communication module,
The intelligent mobile phone platform receives the finger vena that the finger vena acquisition terminal is uploaded by second wireless communication module
Signal processor in information, intelligent mobile phone platform extracts the signal characteristic of finger vena information, and it is quiet to be fed back to finger
In arteries and veins acquisition terminal；
Finger vena acquisition terminal with default signal characteristic in database by matching, the identification of final output finger vena
As a result.
In implementation process, first wireless communication module and the second wireless communication module are bluetooth module.
In order to preferably realize that the separate type of finger venous image is handled, be provided with the intelligent mobile phone platform kernel,
Digital signal processor, graphics processing unit and liquid crystal display.
Based on the development of current smart mobile phone, the finger vein recognition system in intelligent mobile phone platform is usually disposed as a
Special APP softwares, for convenience software download and installation is provided with Quick Response Code, this two in the finger vena acquisition terminal
One software download address of code correspondence is tieed up, the intelligent mobile phone platform enters server by scanning the Quick Response Code AutoLink,
And download for realizing the processing software that finger vena is recognized, by installing default processing software, intelligent mobile phone platform
Closely bluetooth wireless connection is carried out between finger vena acquisition terminal.
As shown in Fig. 2 the present embodiment also proposes a kind of finger vein identification method based on smart mobile phone separating treatment,
In concrete processing procedure, follow the steps below：
S1：After intelligent mobile phone platform and finger vena acquisition terminal set up bluetooth connection, on the intelligent mobile phone platform
It is preassembled to be used to realize that the APP softwares of finger vena identification are started working, prompt message is first exported, user is pointed out by hand
Finger is placed on finger vena acquisition terminal, and user is made after the action, and finger vena acquisition terminal detects finger placement
When in place, you can the finger venous image of the user is gathered by near-infrared camera；
It is original in order to reduce that the near-infrared camera in transinformation, the finger vena acquisition terminal acquires
Image size is 320*240, and microcontroller, which is cut to enter back into step S2 after 160*64 size, to be done the encryption process, and is cut
Vein image afterwards is designated as I0, the gray value of each pixel is between [0 255].
S2：The finger venous image encryption that finger vena acquisition terminal is gathered to step S1；
In the present embodiment, original finger venous image I is obtained0Chaos logistic scrambling encryptions are carried out afterwards,
Logistic functions are derived from a demographic dynamic system, and its system equation form is as follows：
X (k+1)=u*X (k) * [1-X (k)] (k=0,1 ..., n) (1)
The equation only needs to 2 parameters, is initial value X (0) and parameter u respectively, when meeting following two conditions：
①：0<X(0)<1；②：3.5699456...<u<=4
Logistic function works are in chaos state.X (0)=0.1 and u=4 can be for example taken, must after iteration n times
Arrived X (1), X (2) ..., X (n) sequence.So here it is a chaos sequence, is one-dimensional referred to as sequence A for the time being, also
It is the sequence that we want to obtain, the sequential digit values may map between (0,255) between (0,1).If n value
With the pixel value of vein ROI region as many, i.e. the sequence is also arranged in a matrix of 160*64 sizes by n=160*64,
Referred to as B.
Image array A and the pixel value of each correspondence position (i, j) of matrix B are carried out into XOR to obtain after new encryption
Image C, shown in equation below：
I1(i, j)=I0(i,j)⊕B(i,j)
The key of above-mentioned ciphering process is：U and X (0), can daily be randomly generated by the finger vena acquisition terminal,
And shaken hands with the intelligent mobile phone platform be connected when, intelligent mobile phone platform is sent to by handshake, is easy to subsequent decryption
Processing.
S3：Finger venous image after encryption is uploaded to intelligent hand by finger vena acquisition terminal by communication
Machine platform；
S4：Reduction is decrypted to the finger venous image after encryption in intelligent mobile phone platform；
With reference to previously mentioned, when the App programs in intelligent mobile phone platform receive I1After image, then with following formula decrypt
Recover I0Image, D and A is identical image：
I0(i, j)=I1(i,j)⊕B(i,j)
Because key is randomly generated by finger vena acquisition terminal, one day one close, after finger vena acquisition terminal will be encrypted
Finger venous image and dynamic password be uploaded to intelligent mobile phone platform, intelligent mobile phone platform APP decryption obtains original finger
Vein image, then pre-process.
S5：Intelligent mobile phone platform carries out image enhancement processing to the finger venous image after decryption reduction；
In image enhancement processes, medium filtering, gray scale balance, and three yardsticks, eight directions are generally included
Gabor is filtered, and the formula of Gabor filtering cores is described as follows：
WhereinI is imaginary unit, and ψ=0, σ is yardstick, and θ is
Direction is filtered, when taking behind three yardsticks, eight directions, 24 Gabor Filtering Templates can be obtained, these Filtering Templates are distinguished
24 result images are obtained after carrying out convolution with finger venous image, then the minimum value on each position is taken out permeated
Sub-picture, so as to obtain enhanced vein image and be recorded as I2。
S6：Intelligent mobile phone platform carries out feature extraction to enhanced finger venous image, obtains characteristic vector；Use increasing
Vein image after strong carries out feature extraction, such as first extracts uniform LBP features, then LBP characteristic patterns are divided into 16*16's
Block, counts the histogram of 58 kinds of uniform LBP features in each block, and original image size is 160*64, piecemeal 16*16, i.e.,
There are 40 blocks, each block there are 58 bytes, and the LBP histogram datas of all pieces of connection are used as characteristic vector T0, the vector is 40*
58=2320 byte；
S7：Intelligent mobile phone platform is compressed encryption to the characteristic vector after extraction；
In implementation process, encryption is still compressed by chaos logistic scrambling encryptions above, it is last after be changed into
Characteristic vector T1；
S8：Intelligent mobile phone platform will compress the characteristic vector T after encryption1Download in finger vena acquisition terminal；
S9：Processing is decrypted to the characteristic vector of download in finger vena acquisition terminal；
S10：Finger vena acquisition terminal judges whether the characteristic vector downloaded is used to carry out judgement identification, if it is,
Into step S11, otherwise, this feature vector is the characteristic vector for registration, is stored it in database；
S11:Finger vena acquisition terminal by the characteristic vector and database after decryption each characteristic vector carry out
Match somebody with somebody；
S12：By the outside output matching result of the finger vena acquisition terminal.
By said process it is appreciated that finger vena acquisition terminal receives the characteristic vector T after encryption1Afterwards, if
It is to belong to log-on message, is then stored directly in external memory Flash, if doing match cognization, just first by T1Decrypt as spy
Levy vector T0, by the characteristic vector T of recovery0Enter row distance with all registered characteristic vectors to match, select distance minimum
Registration feature is vectorial to be compared with threshold value set in advance, is to recognize that the finger vena is the minimum use of distance less than the threshold value
Family, so that outwards output matching result, allows it to carry out gate inhibition or perform punching operation.
Based on above-mentioned design, it will be understood that the present embodiment was recognized by four that functionally recognize finger vena
Journey (collection, pretreatment, feature extraction and matching identification) is separated, it would be desirable to which the pretreatment of a large amount of computing resources and feature are carried
Take to move on smart mobile phone and carry out, retain the function of original live live body collection and certification in finger vena acquisition terminal.Letter
Change the design of finger vein recognition terminal, need to only retain collection and simple matching feature, reduction computing resource requirement saves hard
Part cost.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover among the claim of the present invention and the scope of specification.
Claims (9)
1. a kind of finger vein recognition system based on smart mobile phone separating treatment, it is characterised in that including finger vena collection
Terminal and intelligent mobile phone platform, information is realized between the finger vena acquisition terminal and intelligent mobile phone platform by radio communication
Interaction, wherein：
It is wireless that the finger vena acquisition terminal includes near infrared light source module, near-infrared camera, microcontroller and first
Communication module, the near infrared light source module and near-infrared camera module are oppositely arranged, and are reserved with therebetween for placing
On the one hand the collection groove of finger, the microcontroller is used for the intensity of illumination for controlling the infrared light supply module, on the other hand logical
The near-infrared camera collection finger vena information is crossed, and smart mobile phone is uploaded to by first wireless communication module and is put down
Platform；
The intelligent mobile phone platform is provided with the second wireless communication module matched with first wireless communication module, the intelligence
Energy cell phone platform receives the finger vena information that the finger vena acquisition terminal is uploaded by second wireless communication module,
Signal processor in intelligent mobile phone platform extracts the signal characteristic of finger vena information, and is fed back to finger vena collection
In terminal；
Finger vena acquisition terminal with default signal characteristic in database by matching, final output finger vena identification knot
Really.
2. the finger vein recognition system according to claim 1 based on smart mobile phone separating treatment, it is characterised in that institute
State and kernel, digital signal processor, graphics processing unit and liquid crystal display are provided with intelligent mobile phone platform.
3. the finger vein recognition system according to claim 1 based on smart mobile phone separating treatment, it is characterised in that institute
It is bluetooth module to state the first wireless communication module and the second wireless communication module.
4. the finger vein recognition system according to claim 1 based on smart mobile phone separating treatment, it is characterised in that
The finger vena acquisition terminal is provided with Quick Response Code, and the intelligent mobile phone platform is entered by scanning the Quick Response Code AutoLink
Server, and download the processing software for realizing finger vena identification.
5. a kind of finger vein identification method based on smart mobile phone separating treatment, it is characterised in that follow the steps below：
S1：Finger venous image is gathered by finger vena acquisition terminal；
S2：The finger venous image encryption that finger vena acquisition terminal is gathered to step S1；
S3：Finger venous image after encryption is uploaded to smart mobile phone by communication and put down by finger vena acquisition terminal
Platform；
S4：Reduction is decrypted to the finger venous image after encryption in intelligent mobile phone platform；
S5：Intelligent mobile phone platform carries out image enhancement processing to the finger venous image after decryption reduction；
S6：Intelligent mobile phone platform carries out feature extraction to enhanced finger venous image, obtains characteristic vector；
S7：Intelligent mobile phone platform is compressed encryption to the characteristic vector after extraction；
S8：Intelligent mobile phone platform downloads to the characteristic vector compressed after encryption in finger vena acquisition terminal；
S9：Processing is decrypted to the characteristic vector of download in finger vena acquisition terminal；
S10：Finger vena acquisition terminal judges whether the characteristic vector downloaded is used to carry out judgement identification, if it is, into
Step S11, otherwise, this feature vector are the characteristic vectors for registration, are stored it in database；
S11:Finger vena acquisition terminal is matched the characteristic vector after decryption with each characteristic vector in database；
S12：By the outside output matching result of the finger vena acquisition terminal.
6. the finger vein identification method according to claim 5 based on smart mobile phone separating treatment, it is characterised in that institute
Intelligent mobile phone platform is stated to be additionally provided with for exporting the step that finger is placed on finger vena acquisition terminal by prompting user.
7. the finger vein identification method according to claim 5 based on smart mobile phone separating treatment, it is characterised in that step
Image encryption in rapid S2 uses chaos logistic scrambling encryptions.
8. the finger vein identification method according to claim 7 based on smart mobile phone separating treatment, it is characterised in that institute
The key for stating chaos logistic scrambling encryptions is randomly generated daily by the finger vena acquisition terminal, and with the intelligence
Cell phone platform shake hands connection when, intelligent mobile phone platform is sent to by handshake.
9. the finger vein identification method according to claim 5 based on smart mobile phone separating treatment, it is characterised in that institute
It is 320*240 to state the original image size that the near-infrared camera in finger vena acquisition terminal acquires, and microcontroller will
It does the encryption process again after being cut to 160*64 size.
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| CN201710329102.1A CN107169444A (en) | 2017-05-11 | 2017-05-11 | Finger vein recognition system and method based on smart mobile phone separating treatment |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108428263A (en) * | 2018-05-14 | 2018-08-21 | 北京洛斯达数字遥感技术有限公司 | Attendance management method for work transmission line scene |
| CN109409293A (en) * | 2018-10-28 | 2019-03-01 | 中国地质大学（武汉） | Finger vein identification device based on NB-IoT |
| CN109787775A (en) * | 2019-03-06 | 2019-05-21 | 杭州电子科技大学 | A kind of safety certifying method based on Chen's chaotic system and finger vein auxiliary data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103258192A (en) * | 2013-05-20 | 2013-08-21 | 中国人民解放军国防科学技术大学 | Multifunctional vein collection method based on cloud platform |
| CN203250323U (en) * | 2013-04-03 | 2013-10-23 | 中国人民解放军国防科学技术大学 | Multifunctional vein acquisition device based on cloud platform |
| CN103825735A (en) * | 2012-11-19 | 2014-05-28 | 成都芯软科技发展有限公司 | Full-automatic intelligent identity information identification system and realization method thereof |
| CN103825921A (en) * | 2012-11-19 | 2014-05-28 | 成都芯软科技发展有限公司 | Bio-information interaction system based on network transmission and realization method thereof |
| CN104143226A (en) * | 2013-05-10 | 2014-11-12 | 常熟安智生物识别技术有限公司 | Finger vein recognition cloud calculating system |
| CN104978506A (en) * | 2014-04-03 | 2015-10-14 | 杭州智尔科技有限公司 | Intelligent recognition and authentication system of biological characteristics on the basis of cloud computing |
-
2017
- 2017-05-11 CN CN201710329102.1A patent/CN107169444A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103825735A (en) * | 2012-11-19 | 2014-05-28 | 成都芯软科技发展有限公司 | Full-automatic intelligent identity information identification system and realization method thereof |
| CN103825921A (en) * | 2012-11-19 | 2014-05-28 | 成都芯软科技发展有限公司 | Bio-information interaction system based on network transmission and realization method thereof |
| CN203250323U (en) * | 2013-04-03 | 2013-10-23 | 中国人民解放军国防科学技术大学 | Multifunctional vein acquisition device based on cloud platform |
| CN104143226A (en) * | 2013-05-10 | 2014-11-12 | 常熟安智生物识别技术有限公司 | Finger vein recognition cloud calculating system |
| CN103258192A (en) * | 2013-05-20 | 2013-08-21 | 中国人民解放军国防科学技术大学 | Multifunctional vein collection method based on cloud platform |
| CN104978506A (en) * | 2014-04-03 | 2015-10-14 | 杭州智尔科技有限公司 | Intelligent recognition and authentication system of biological characteristics on the basis of cloud computing |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108428263A (en) * | 2018-05-14 | 2018-08-21 | 北京洛斯达数字遥感技术有限公司 | Attendance management method for work transmission line scene |
| CN109409293A (en) * | 2018-10-28 | 2019-03-01 | 中国地质大学（武汉） | Finger vein identification device based on NB-IoT |
| CN109787775A (en) * | 2019-03-06 | 2019-05-21 | 杭州电子科技大学 | A kind of safety certifying method based on Chen's chaotic system and finger vein auxiliary data |
| CN109787775B (en) * | 2019-03-06 | 2021-10-22 | 杭州电子科技大学 | Security authentication method based on Chen chaos system and finger vein auxiliary data |
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