CN106557761A - A kind of method and device of fingerprint recognition - Google Patents
A kind of method and device of fingerprint recognition Download PDFInfo
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- CN106557761A CN106557761A CN201611069207.XA CN201611069207A CN106557761A CN 106557761 A CN106557761 A CN 106557761A CN 201611069207 A CN201611069207 A CN 201611069207A CN 106557761 A CN106557761 A CN 106557761A
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- fingerprint
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- Databases & Information Systems (AREA)
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- Computer Hardware Design (AREA)
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- Computer Vision & Pattern Recognition (AREA)
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- Collating Specific Patterns (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
A kind of method of fingerprint recognition is embodiments provided, is related to fingerprint identification technology field, the fingerprint for collecting can quickly be recognized according to typing fingerprint the match is successful frequency.The method includes：Collection user fingerprints；According to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that the comparison sequence of the user fingerprints for collecting and typing fingerprint；According to the comparison sequence for determining the user fingerprints and typing fingerprint for collecting, typing fingerprint is chosen successively and is compared with the user fingerprints.During technical scheme provided in an embodiment of the present invention suitable for the social function such as completing such as to unlock, checking card, pay by fingerprint recognition.
Description
【Technical field】
The present invention relates to fingerprint identification technology field, more particularly to a kind of method and device of fingerprint recognition.
【Background technology】
The features such as having uniqueness, convenience and lifelong consistency due to fingerprint, fingerprint has become living things feature recognition
Synonym.In the modern society that science and technology is more and more flourishing, fingerprint identification technology has increasing social function, such as refers to
Line is unlocked, fingerprint is checked card, fingerprint pays.
The major part of fingerprint recognition includes fingerprint collecting, image procossing, feature extraction and fingerprint matching etc..Fingerprint matching
Be with the fingerprint of collection in worksite compared with the fingerprint preserved in fingerprint base, judge whether to belong to same fingerprint, conventional is base
In the matching of fingerprint characteristic structure, i.e., matched using the information enriched inside fingerprint image.Using the most in fingerprint matching
It is widely minutiae matches, needs compare the fingerprint of collection in worksite one by one with the characteristic point of fingerprint in fingerprint base
It is right, subsequent operation is carried out after the match is successful.
In process of the present invention is realized, inventor has found that at least there are the following problems in prior art：
When the various fingerprint of stored number in fingerprint base, in freshly harvested fingerprint and fingerprint base, typing fingerprint is carried out
Compare one by one, necessarily cause match time prolongation, fingerprint recognition inefficiency, affect Consumer's Experience.
【The content of the invention】
In view of this, embodiments provide a kind of method and device of fingerprint recognition, according to typing fingerprint
With successful frequency, the user fingerprints and typing fingerprint for collecting are compared, the fingerprint matching time is reduced, is improved fingerprint recognition efficiency.
On the one hand, a kind of method of fingerprint recognition is embodiments provided, methods described includes：
Collection user fingerprints；
According to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that the user fingerprints for collecting and record
Enter the comparison sequence of fingerprint；
According to the comparison sequence for determining the user fingerprints and typing fingerprint for collecting, typing fingerprint and the use are chosen successively
Family fingerprint is compared.
On the one hand, a kind of device of fingerprint recognition is embodiments provided, described device includes：
Collecting unit, for gathering user fingerprints；
First determining unit, for according to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that adopting
The user fingerprints for collecting and the comparison sequence of typing fingerprint；
Comparing unit, for according to the comparison sequence for determining the user fingerprints for collecting and typing fingerprint, choosing record successively
Enter fingerprint to compare with the user fingerprints.
Embodiments provide a kind of method and apparatus of fingerprint recognition, according to typing fingerprint the match is successful frequency
Rate, from the beginning of the order in fingerprint base correspondence fingerprint pattern from high to low, carries out characteristic point ratio with the user fingerprints of collection in worksite
It is right, the fingerprint matching time is reduced, fingerprint recognition efficiency is improved, Consumer's Experience is lifted.
【Description of the drawings】
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below by to be used attached needed for embodiment
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this area
For those of ordinary skill, without having to pay creative labor, can be with other attached according to these accompanying drawings acquisitions
Figure.
Fig. 1 is a kind of method flow diagram of fingerprint recognition provided in an embodiment of the present invention；
Fig. 2 is the method flow diagram of another kind of fingerprint recognition provided in an embodiment of the present invention；
Fig. 3 is the method flow diagram of another kind of fingerprint recognition provided in an embodiment of the present invention；
Fig. 4 is the method flow diagram of another kind of fingerprint recognition provided in an embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of typing fingerprint provided in an embodiment of the present invention；
Fig. 6 is a kind of allocation process diagram of fingerprint function provided in an embodiment of the present invention；
Fig. 7 is a kind of method flow diagram of unlocked by fingerprint equipment provided in an embodiment of the present invention；
Fig. 8 is a kind of composition frame chart of fingerprint identification device provided in an embodiment of the present invention；
Fig. 9 is the composition frame chart of another kind of fingerprint identification device provided in an embodiment of the present invention；
Figure 10 is the composition frame chart of another kind of fingerprint identification device provided in an embodiment of the present invention；
Figure 11 is the composition frame chart of another kind of fingerprint identification device provided in an embodiment of the present invention.
【Specific embodiment】
In order to be better understood from technical scheme, below in conjunction with the accompanying drawings the embodiment of the present invention is retouched in detail
State.
It will be appreciated that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.Base
Embodiment in the present invention, those of ordinary skill in the art obtained under the premise of creative work is not made it is all its
Its embodiment, belongs to the scope of protection of the invention.
The term for using in embodiments of the present invention is the purpose only merely for description specific embodiment, and is not intended to be limiting
The present invention." one kind ", " described " and " being somebody's turn to do " of singulative used in the embodiment of the present invention and appended claims
It is also intended to include most forms, unless context clearly shows that other implications.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation of description affiliated partner, represent
There may be three kinds of relations, for example, A and/or B can be represented：Individualism A, while there is A and B, individualism B these three
Situation.In addition, character "/" herein, typicallys represent forward-backward correlation to liking a kind of relation of "or".
Embodiments provide a kind of method of fingerprint recognition, it is adaptable to complete such as unblock, beat by fingerprint recognition
During the social functions such as card, payment, as shown in figure 1, methods described includes：
101st, user fingerprints are gathered.
Wherein, the fingerprint has unchangeable property, uniqueness and convenience, almost becomes the generation of living things feature recognition
Noun, refers to the convex recessed uneven streakline for producing of the positive surface skin of finger tips of people.
When the user wants unlocker device or carries out next step operation, the user's finger is with fingerprint collecting head gently
Contact, triggering fingerprint identification device carry out fingerprint collecting.
Wherein, the fingerprint identification device includes fingerprint Identification sensor, processor and fingerprint base.
Wherein, the fingerprint Identification sensor is the main devices for realizing fingerprint automatic data collection, the fingerprint collecting head category
In an external module of the fingerprint Identification sensor.
102nd, according to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that the user fingerprints for collecting
With the comparison sequence of typing fingerprint.
Wherein, the fingerprint base refers to the fingerprint database of all users of the storage of typing in advance.
Wherein, the match is successful that frequency refers to when must carry out fingerprint recognition every time for the typing fingerprint, each typing fingerprint
With the user fingerprints of the collection in worksite probability that the match is successful.
103rd, according to the comparison sequence for determining the user fingerprints and typing fingerprint for collecting, typing fingerprint and institute are chosen successively
State user fingerprints to compare.
Wherein, by typing fingerprint matching success frequency order from high to low, open with the user fingerprints of collection in worksite
Beginning compares.
Wherein, the mode of fingerprint comparison is compared using fingerprint feature point.
Wherein, the fingerprint feature point includes starting point, terminal, binding site and bifurcation of streakline etc..
Fingerprint characteristic includes fingerprint morphological feature and fingerprint feature point, can be by the processor of the fingerprint identification device to referring to
Print image carries out Digital Signal Processing acquisition.
A kind of method of fingerprint recognition is embodiments provided, according to typing fingerprint the match is successful frequency, from finger
Order in the correspondence fingerprint pattern of line storehouse from high to low starts, and carries out characteristic point with the user fingerprints of collection in worksite and compares, reduces
The fingerprint matching time, fingerprint recognition efficiency is improved, lift Consumer's Experience.
Furthermore, it is understood that in order to reduce the scope that the user fingerprints for collecting are compared with the typing fingerprint,
Further reduce the fingerprint matching time, according to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that adopting
Before the user fingerprints for collecting and the comparison sequence of typing fingerprint, as shown in Fig. 2 methods described also includes：
104th, according to the user fingerprints for collecting, determine the corresponding fingerprint pattern of the user fingerprints.
Wherein, the fingerprint pattern is the basic classification of fingerprint, is determined by the fingerprint morphological feature, is by core
With the grown form division of triangle.Typically, fingerprint is divided into arch pattern (plain arch, tented arch), dustpan type by fingerprint recognition system
Line (left dustpan, right dustpan), whorl and miscellaneous shape line etc..
105th, typing fingerprint corresponding with the fingerprint pattern is chosen from the fingerprint base.
Wherein, during the initial typing fingerprint of the fingerprint base, the processor of the fingerprint identification device is carried out to fingerprint image
Digital Signal Processing obtains the morphological feature and fingerprint feature point of the typing fingerprint, according to the morphological feature of the typing fingerprint
Determine the typing fingerprint pattern, and the typing fingerprint classification is stored to the fingerprint base.
Then step 102 can be replaced step 106, specifically be expressed as follows：
106th, according to typing fingerprint corresponding with the fingerprint pattern the match is successful frequency, it is determined that the user for collecting refers to
The comparison sequence of line and typing fingerprint.
The step 106 refers to from the fingerprint base choose the record consistent with the user fingerprints type for collecting
Enter fingerprint classification, according still further to typing fingerprint the match is successful frequency order from high to low, with the user fingerprints for collecting
Carry out characteristic point comparison.
Furthermore, it is understood that with the increased frequency of fingerprint recognition, the match is successful that frequency can also be produced for the typing fingerprint
It is corresponding to change, it is therefore desirable to adjust the typing fingerprint the match is successful frequency, as shown in figure 3, methods described also includes：
107th, when a typing fingerprint matching in the user fingerprints and fingerprint base that collect, the typing to matching refers to
Line is corresponding, and the match is successful that frequency is adjusted.
Wherein, the method for adjustment of the typing fingerprint matching success frequency is usually value added on the basis of original.
Furthermore, it is understood that in order to clearly recording the typing fingerprint the match is successful frequency, as shown in figure 4, institute
Stating method also includes：
108th, during the first typing fingerprint of user, it is the fingerprint distribution initial matching success frequency of each new typing
Rate.
Wherein, the initial matching success frequency is generally certain value, can be set to 0, can also be set to other values.
In order to be better understood from the technical program, the embodiment of the present invention is provided by taking unlocked by fingerprint equipment as an example and is embodied as
Mode：
Step 1, first typing fingerprint, fingerprint Identification sensor are sent to processor after obtaining the typing fingerprint image；
The processor carries out Digital Signal Processing to the fingerprint image, and take the fingerprint characteristic point；The fingerprint feature point is preserved
In the fingerprint base of memory, principle is as shown in Figure 5.
Step 2, the fingerprint of first user's typing of definition are user 1, and the fingerprint of second user's typing is user 2, with
This analogizes, and the fingerprint of nth user's typing is user n.
Step 3, define a function Zn=(Xn, Yn, k), the function Zn represents the fingerprint of the nth user, institute
The fingerprint feature point that Xn represents the nth user is stated, the Yn represents the fingerprint matching success frequency of the nth user,
The k is fingerprint pattern.
Wherein, the Yn is a positive integer, and when certain user typing fingerprint first, processor distributes a Zn to user
And Yn is set to 0 is stored in fingerprint base, the Yn=Yn+1 when user unlocks primary equipment.
Wherein, the k is a positive integer, and the fingerprint of each type corresponds to a numerical value, by the processor to institute
State after fingerprint image carries out Digital Signal Processing, the morphological feature for obtaining the typing fingerprint determines, the distribution of the function Zn
Flow process is as shown in Figure 6.
1) processor to 1 partition function Z1=of the user (X1, Y1, k) after be stored in the fingerprint base；
2) processor to 2 partition function Z2=of the user (X2, Y2, k) after be stored in the fingerprint base；
3) ... by that analogy；
4) processor to the user n partition function Zn=(Xn, Yn, k) after be stored in the fingerprint base.
The fingerprint of step 4, collection user m；And determined according to the typing fingerprint function Zn the match is successful frequencies Yn and adopt
The user fingerprints for collecting and the comparison sequence of typing fingerprint；According to the comparison sequence, typing fingerprint feature point Xn is chosen successively
Compare with user fingerprints characteristic point Xm, idiographic flow is as follows：
1) the user m triggers the fingerprint identification device；
2) equipment starts the fingerprint image that the fingerprint Identification sensor gathers the user m, and is sent to the process
Device；
3) processor carries out Digital Signal Processing by the fingerprint image to the user m, extracts the user m's
Fingerprint feature point Xm simultaneously determines the corresponding fingerprint patterns of the user m；
4) processor chooses all fingers with the user m fingerprint patterns corresponding (i.e. k is identical) in the fingerprint base
Line function Zn；
5) processor judges the size of the Yn in the fingerprint function Zn, and determines Xn and Xm's according to the sequence of Yn
Comparison sequence, Yn are then preferentially compared Xn greatly with Xm；
6) when the match is successful for comparison, the processor output equipment unlock instruction；
When comparing matching and being unsuccessful, the processor is transferred the less Xn of the Yn and Xm successively and is compared, if institute
The fingerprint comparison for having same type is all mismatched after terminating, then prompting cannot be unlocked.
Wherein, when Yn is the same, then sequence is judged with the size of n, the little person's priority orderings of n, also the big persons of definable n preferentially arrange
Sequence.
The flow process of step 4 is as shown in Figure 7.
Embodiments provide a kind of device of fingerprint recognition, it is adaptable to preceding method flow process, as shown in figure 8, institute
Stating device includes：
Collecting unit 51, for gathering user fingerprints.
First determining unit 52, for according to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that
The user fingerprints for collecting and the comparison sequence of typing fingerprint.
Comparing unit 53, for according to the comparison sequence for determining the user fingerprints for collecting and typing fingerprint, choosing successively
Typing fingerprint is compared with the user fingerprints.
Optionally, as shown in figure 9, described device also includes：
Second determining unit 54, for according to the user fingerprints for collecting, determining the corresponding fingerprint class of the user fingerprints
Type.
Unit 55 is chosen, for typing fingerprint corresponding with the fingerprint pattern is chosen from the fingerprint base.
Then the first determining unit 52 is additionally operable to：
According to typing fingerprint corresponding with the fingerprint pattern the match is successful frequency, it is determined that the user fingerprints for collecting with
The comparison sequence of typing fingerprint.
Optionally, as shown in Figure 10, described device also includes：
Adjustment unit 56, for when a typing fingerprint matching in the user fingerprints that collect with fingerprint base, to
The typing fingerprint that is fitted on is corresponding, and the match is successful that frequency is adjusted.
Optionally, as shown in figure 11, described device also includes：
Allocation unit 57, the fingerprint distribution for during the first typing fingerprint of user, being each new typing are initial
Frequency that the match is successful.
A kind of device of fingerprint recognition is embodiments provided, according to typing fingerprint the match is successful frequency, from finger
Order in the correspondence fingerprint pattern of line storehouse from high to low starts, and carries out characteristic point with the user fingerprints of collection in worksite and compares, reduces
The fingerprint matching time, fingerprint recognition efficiency is improved, lift Consumer's Experience.
Those skilled in the art can be understood that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be described here.
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematic, for example, the unit
Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, for example, multiple units or group
Part can with reference to or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown
Or discuss coupling each other direct-coupling or communication connection can be by the indirect of some interfaces, device or unit
Coupling is communicated to connect, and can be electrical, mechanical or other forms.
The unit as separating component explanation can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can local to be located at one, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be realized in the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit to realize.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in an embodied on computer readable and deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, is used so that a computer including some instructions
Device (can be personal computer, server, or network equipment etc.) or processor (Processor) perform the present invention each
The part steps of embodiment methods described.And aforesaid storage medium includes：USB flash disk, portable hard drive, read-only storage (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
Can be with the medium of store program codes.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvements done etc. are should be included within the scope of protection of the invention.
Claims (8)
1. a kind of method of fingerprint recognition, it is characterised in that methods described includes：
Collection user fingerprints；
According to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that the user fingerprints for collecting are referred to typing
The comparison sequence of line；
According to the comparison sequence for determining the user fingerprints and typing fingerprint for collecting, typing fingerprint is chosen successively and is referred to the user
Line is compared.
2. method according to claim 1, it is characterised in that according to each typing fingerprint stored in fingerprint base
With successful frequency, it is determined that before the comparison sequence of the user fingerprints for collecting and typing fingerprint, also including：
According to the user fingerprints for collecting, the corresponding fingerprint pattern of the user fingerprints is determined；
Typing fingerprint corresponding with the fingerprint pattern is chosen from the fingerprint base；
Then according to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that the user fingerprints for collecting and typing
The comparison sequence of fingerprint includes：
According to typing fingerprint corresponding with the fingerprint pattern the match is successful frequency, it is determined that the user fingerprints for collecting and typing
The comparison sequence of fingerprint.
3. method according to claim 2, it is characterised in that also include：
When a typing fingerprint matching in the user fingerprints for collecting with fingerprint base, the typing fingerprint to matching is corresponding
The match is successful, and frequency is adjusted.
4. method according to claim 3, it is characterised in that also include：
During the first typing fingerprint of user, it is the fingerprint distribution initial matching success frequency of each new typing.
5. a kind of device of fingerprint recognition, it is characterised in that described device includes：
Collecting unit, for gathering user fingerprints；
First determining unit, for according to each typing fingerprint stored in fingerprint base the match is successful frequency, it is determined that collecting
User fingerprints and typing fingerprint comparison sequence；
Comparing unit, for according to the comparison sequence for determining the user fingerprints for collecting and typing fingerprint, choosing typing successively and referring to
Line is compared with the user fingerprints.
6. device according to claim 5, it is characterised in that described device also includes：
Second determining unit, for according to the user fingerprints for collecting, determining the corresponding fingerprint pattern of the user fingerprints；
Unit is chosen, for typing fingerprint corresponding with the fingerprint pattern is chosen from the fingerprint base；
Then the first determining unit is additionally operable to：
According to typing fingerprint corresponding with the fingerprint pattern the match is successful frequency, it is determined that the user fingerprints for collecting and typing
The comparison sequence of fingerprint.
7. device according to claim 6, it is characterised in that described device also includes：
Adjustment unit, for when a typing fingerprint matching in the user fingerprints that collect with fingerprint base, to what is matched
Typing fingerprint is corresponding, and the match is successful that frequency is adjusted.
8. device according to claim 7, it is characterised in that described device also includes：
Allocation unit, for during the first typing fingerprint of user, be each new typing fingerprint distribute initial matching into
Work(frequency.
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| CN201611069207.XA CN106557761A (en) | 2016-11-29 | 2016-11-29 | A kind of method and device of fingerprint recognition |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611069207.XA CN106557761A (en) | 2016-11-29 | 2016-11-29 | A kind of method and device of fingerprint recognition |
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| CN201611069207.XA Pending CN106557761A (en) | 2016-11-29 | 2016-11-29 | A kind of method and device of fingerprint recognition |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107958217A (en) * | 2017-11-28 | 2018-04-24 | 广州麦仑信息科技有限公司 | A kind of fingerprint classification identifying system and method based on deep learning |
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| CN105469033A (en) * | 2015-11-13 | 2016-04-06 | 广东欧珀移动通信有限公司 | Fingerprint identification method, fingerprint identification device and terminal equipment |
| CN105631278A (en) * | 2015-06-24 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Identity verification method and device |
| CN105989333A (en) * | 2015-02-12 | 2016-10-05 | 深圳市汇顶科技股份有限公司 | Fingerprint authentication method, fingerprint authentication system and terminal supporting fingerprint authentication function |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1521684A (en) * | 2003-02-13 | 2004-08-18 | 合肥工业大学 | Synergic fingerprint identification method |
| CN105989333A (en) * | 2015-02-12 | 2016-10-05 | 深圳市汇顶科技股份有限公司 | Fingerprint authentication method, fingerprint authentication system and terminal supporting fingerprint authentication function |
| CN105631278A (en) * | 2015-06-24 | 2016-06-01 | 宇龙计算机通信科技(深圳)有限公司 | Identity verification method and device |
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