CN110175446A - Personal identification method and relevant apparatus - Google Patents
Personal identification method and relevant apparatus Download PDFInfo
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- CN110175446A CN110175446A CN201910472649.6A CN201910472649A CN110175446A CN 110175446 A CN110175446 A CN 110175446A CN 201910472649 A CN201910472649 A CN 201910472649A CN 110175446 A CN110175446 A CN 110175446A
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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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- 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
- G06V40/13—Sensors therefor
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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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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- 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
This application discloses a kind of personal identification method and relevant apparatus, applied to the electronic equipment including bio-identification mould group, this method comprises: carrying out bio-identification by bio-identification mould group, obtaining fingerprint image and referring to vein image；Fingerprint image is parsed, fingerprint feature information is obtained, and parsing refers to vein image, obtains referring to vein pattern information；The first quality evaluation value of fingerprint image is determined based on fingerprint feature information, and the second quality evaluation value for referring to vein image is determined based on finger vein pattern information；The first ratio and the second ratio are determined based on the first quality evaluation value and the second quality evaluation value；Identification is carried out based on the first ratio and the second ratio.The success rate of identification can be improved using the embodiment of the present application.
Description
Technical field
This application involves electronic technology field more particularly to a kind of personal identification methods and relevant apparatus.
Background technique
The usual way of identification for example has fingerprint recognition, pupil identification, recognition of face etc..Currently, electronic equipment (example
Such as mobile phone, plate) on the identification method that is arranged be usually one of above-mentioned usual way.There are this for this single mode identification
One problem of sample, when effective identification region of acquired image is less, even if characteristic point all in effective identification region
With predetermined characteristic point whole successful match, electronic equipment still judges identification failure, so as to cause identification at
Power reduces.
Summary of the invention
The embodiment of the present application provides a kind of personal identification method and relevant apparatus, for improving the success rate of identification.
In a first aspect, the embodiment of the present application provides a kind of personal identification method, applied to the electricity including bio-identification mould group
Sub- equipment, which comprises
Bio-identification is carried out by the bio-identification mould group, obtain fingerprint image and refers to vein image；
The fingerprint image is parsed, fingerprint feature information, and the parsing finger vein image are obtained, obtains referring to that vein is special
Reference breath；
The first quality evaluation value of the fingerprint image is determined based on the fingerprint feature information, and quiet based on the finger
Arteries and veins characteristic information determines the second quality evaluation value for referring to vein image；
The first ratio and the second ratio are determined based on the first quality evaluation value and the second quality evaluation value, it is described
First ratio is used for table for characterizing accounting of the fingerprint feature information in total biological information, second ratio
Levy accounting of the finger vein pattern information in total biological information；
Identification is carried out based on first ratio and second ratio.
Second aspect, the embodiment of the present application provide a kind of identity recognition device, applied to the electricity including bio-identification mould group
Sub- equipment, described device include:
Image acquisition units, for carrying out bio-identification by the bio-identification mould group, obtaining fingerprint image and referring to quiet
Arteries and veins image；
Resolution unit obtains fingerprint feature information, and the parsing finger vein figure for parsing the fingerprint image
Picture obtains referring to vein pattern information；
Determination unit, for determining the first quality evaluation value of the fingerprint image based on the fingerprint feature information, with
And the second quality evaluation value for referring to vein image is determined based on the finger vein pattern information；It is commented based on first mass
Value and the second quality evaluation value determine that the first ratio and the second ratio, first ratio are special for characterizing the fingerprint
Reference ceases the accounting in total biological information, and second ratio is for characterizing the finger vein pattern information total
Accounting in biological information；
Identity recognizing unit, for carrying out identification based on first ratio and second ratio.
The third aspect, the embodiment of the present application provide a kind of electronic equipment, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure is included the steps that for executing the instruction in method described in the embodiment of the present application first aspect.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable
Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as
Step some or all of described in method described in the embodiment of the present application first aspect.
5th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product
Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate
Step some or all of described in method of the machine execution as described in the embodiment of the present application first aspect.The computer program produces
Product can be a software installation packet.
As can be seen that in the embodiment of the present application, first passing through bio-identification mould group and carrying out bio-identification, obtain fingerprint image
With finger vein image；Then the fingerprint image is parsed, fingerprint feature information is obtained, and parses this and refers to vein image, is referred to
Vein pattern information；The first quality evaluation value of fingerprint image is determined based on the fingerprint feature information, and vein is referred to based on this
Characteristic information determines the second quality evaluation value for referring to vein image；It is determined based on the first quality evaluation value and the second quality evaluation value
First ratio and the second ratio, and identification is carried out based on the first ratio and the second ratio, this fusion fingerprint recognition with
Refer to that the multimode recognition of hand vein recognition, collected characteristic information identify collected characteristic information more than single mode, it can be more
The problem of leading to recognition failures since collected characteristic information is very few under single mode identification is mended, to promote identification
Success rate；Meanwhile fingerprint recognition and finger hand vein recognition share a set of bio-identification mould group, solve in multimode recognition using two
Set bio-identification mould group leads to that the bigger space problem of electronic equipment need to be occupied.
These aspects or other aspects of the application can more straightforward in the following description.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of personal identification method provided by the embodiments of the present application；
Fig. 3 is a kind of flow diagram of personal identification method provided by the embodiments of the present application；
Fig. 4 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of identity recognition device provided by the embodiments of the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
The embodiment of the application a part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's every other embodiment obtained without making creative work, all should belong to the model of the application protection
It encloses.
It is described in detail separately below.
The description and claims of this application and term " first ", " second ", " third " and " in the attached drawing
Four " etc. are not use to describe a particular order for distinguishing different objects.In addition, term " includes " and " having " and it
Any deformation, it is intended that cover and non-exclusive include.Such as it contains the process, method of a series of steps or units, be
System, product or equipment are not limited to listed step or unit, but optionally further comprising the step of not listing or list
Member, or optionally further comprising other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Hereinafter, the part term in the application is explained, in order to those skilled in the art understand that.
Referring to Figure 1, Fig. 1 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application, the electronic equipment
Including processor, memory, signal processor, communication interface, touch screen, bio-identification module, loudspeaker, microphone, random
Access memory (Random Access Memory, RAM) and camera etc..
Wherein, processor is also possible to AP processor, is also possible to other processors.
Wherein, memory, signal processor, touch screen, loudspeaker, microphone, RAM and camera are connect with processor,
Communication interface is connect with signal processor.
Wherein, bio-identification mould group includes biometric sensor, transmitter, gyroscope etc..The transmitter is for sending out
Infrared signal is penetrated, the bio-identification mould group is for carrying out bio-identification, obtaining fingerprint image and referring to vein image.Biology is known
Other mould group can be set the front in electronic equipment, the back side, two sides or other be easy to implement and refer to hand vein recognition and fingerprint recognition
Position, it is not limited here.
Wherein, touch screen includes bio-identification region, and bio-identification mould group is located at the lower section in bio-identification region.
In the embodiment of the present application, processor obtains fingerprint for carrying out bio-identification by the bio-identification mould group
Image and finger vein image；The fingerprint image is parsed, fingerprint feature information, and the parsing finger vein image is obtained, obtains
To finger vein pattern information；The first quality evaluation value of the fingerprint image, Yi Jiji are determined based on the fingerprint feature information
The second quality evaluation value for referring to vein image is determined in the finger vein pattern information；Based on the first quality evaluation value
The first ratio and the second ratio are determined with the second quality evaluation value, and first ratio is for characterizing the fingerprint characteristic letter
The accounting in total biological information is ceased, second ratio is for characterizing the finger vein pattern information in total biology
Accounting in characteristic information；Identification is carried out based on first ratio and second ratio.
In the implementation of the application, the fingerprint feature information includes multiple first information, and the finger vein is special
Reference breath includes multiple second information, and each first information corresponds to first numerical value, and each second information is one second corresponding
Numerical value, corresponding first weight of each first information, corresponding second weight of each second information are being based on the fingerprint
Characteristic information determines the first quality evaluation value of the fingerprint image, and determines the finger based on the finger vein pattern information
In terms of second quality evaluation value of vein image, processor is specifically used for based on the multiple first information corresponding multiple the
One weight, corresponding multiple first numerical value of the multiple first information and quality evaluation formula are calculated, and the fingerprint is obtained
First quality evaluation value of image；Based on corresponding multiple second weights of the multiple second information, the multiple second information
Corresponding multiple second values and the quality evaluation formula are calculated, and second quality evaluation for referring to vein image is obtained
Value.
In the implementation of the application, identification side is being carried out based on first ratio and second ratio
Face, processor, specifically for matching the fingerprint image with predetermined fingerprint image, to obtain the first matching degree；By institute
It states and refers to that vein image refers to that vein image is matched with predetermined, to obtain the second matching degree；In first matching degree and described
When second matching degree is all larger than or is equal to first threshold, based on first matching degree, first ratio, second matching
Degree, second ratio and matching degree formula determine third matching degree；It is greater than or equal to second threshold in the third matching degree
When, determine identification success.
In the implementation of the application, processor is also used in first matching degree or second matching degree
When less than the first threshold, alternatively, determining that the identification is lost when the third matching degree is less than the second threshold
It loses.
In the implementation of the application, the electronic equipment further includes bio-identification region, the bio-identification mould
Group includes transmitter and biometric sensor, and the transmitter is passing through the bio-identification for emitting infrared signal
Mould group carries out bio-identification, and in terms of obtaining fingerprint image and referring to vein image, processor is specifically used for controlling the transmitter hair
It penetrates the first infrared signal and irradiates the bio-identification region, and fingerprint recognition is carried out by the bio-identification mould group, obtain
To fingerprint image；It controls the transmitter and emits the second infrared signal irradiation bio-identification region, and by described
Bio-identification mould group carries out finger hand vein recognition, obtains referring to vein image；First infrared signal and second infrared light
The frequency of signal is different, and finger vena blood, which is less than the absorptivity of first infrared signal, believes second infrared light
Number absorptivity.
In the implementation of the application, the finger venous information includes third information, and the third information includes hand
Refer to the light and shade variation degree of venous blood and/or the stretch variation degree of finger vena, based on first ratio and described
Before second ratio carries out identification, processor is also used to determine the flowing of finger vena blood based on the third information
Speed；When the flowing velocity of the finger vena blood is greater than or equal to First Speed, the fingerprint image and described is determined
The finger associated finger of vein image is live finger.
In the implementation of the application, emit the first infrared signal irradiation biology controlling the transmitter
Before identification region, processor is also used to determine the fingerprint image and the associated finger of the finger vein image and the life
The movement speed of the first distance of object identification sensor and the finger；It is determined based on the first distance and the movement speed
The running parameter of the transmitter, the running parameter comprise at least one of the following: transmission power, launch time, optical signal are strong
Degree.
It should be noted that the specific implementation process of step performed by each module can be found in it is specific described in following methods
Realization process, no longer describes herein.
Fig. 2 is referred to, Fig. 2 is a kind of flow diagram of personal identification method provided by the embodiments of the present application, is applied to
Above-mentioned electronic equipment, method include:
Step 201: bio-identification being carried out by the bio-identification mould group, fingerprint image is obtained and refers to vein image.
Wherein, bio-identification mould group has fingerprint image acquisition function and refers to vein image acquisition function, can adopt simultaneously
Collect fingerprint image and refers to vein image；Fingerprint image can also be first acquired, then acquires and refers to vein image；Can also first acquire refer to it is quiet
Arteries and veins image, then fingerprint image is acquired, it is not limited thereto.
Step 202: parsing the fingerprint image, obtain fingerprint feature information, and the parsing finger vein image, obtain
Refer to vein pattern information.
In the implementation of the application, the multiple first information include it is following at least one: the fingerprint image
Effective area, the drift rate of the fingerprint image, the characteristic point of the humidity of the fingerprint image, the fingerprint image；Institute
State multiple second information include it is following at least one: it is described refer to vein image effective area, it is described refer to vein image offset
Degree, the contrast for referring to vein image, the characteristic point for referring to vein image.
Wherein, fingerprint image and finger vein image include foreground area and background area, the effective area of fingerprint image
The area for referring to foreground area in fingerprint image refers to that the effective area of vein image refers to the face for referring to foreground area in vein image
Product.
Wherein, the drift rate of fingerprint image is mass center of the mass center relative to fingerprint image of the effective area of fingerprint image
Degrees of offset refers to the mass center that the drift rate of vein image refers to the mass center of the effective area of vein image relative to fingerprint image
Degrees of offset.
Wherein, the humidity of fingerprint image is remove to measure fingerprint image quality from the dry and wet situation angle of typing finger one
A parameter.Finger overdrying or the fingerprint lines overly moist that will cause typing are unintelligible, characteristic point quantity is few, directional information is chaotic etc. asks
Topic.When finger overdrying, the fingerprint image of typing is based on white pixel, and gray variance is smaller and gray average is larger；Finger mistake
When wet, for the fingerprint image of typing based on black pixel, gray variance and gray average are smaller.
Wherein, the contrast for referring to vein image is to go to measure a parameter for referring to vein image quality from lighting angle.Refer to
During vein image acquisition, due to the influence that uneven illumination is even, it is partially bright or partially dark to will lead to image, to be unfavorable for subsequent figure
As processing.Refer to that the contrast of vein image can be determined by referring to the mean square deviation of vein image.
Wherein, the characteristic point of fingerprint image provides the confirmation message of fingerprint uniqueness, and the characteristic point of fingerprint image is for example
There are core point, triangulation point, line number, bifurcation, ramification point, isolated point, circling point, short grain etc..
Wherein, refer to that the characteristic point of vein image provides the confirmation message for referring to vein uniqueness, refer to the feature of vein image
Point is such as having endpoint, crosspoint, streakline.
Step 203: determining the first quality evaluation value of the fingerprint image based on the fingerprint feature information, and be based on
It is described to refer to that vein pattern information determines the second quality evaluation value for referring to vein image.
In the implementation of the application, the fingerprint feature information includes multiple first information, and the finger vein is special
Reference breath includes multiple second information, and each first information corresponds to first numerical value, and each second information is one second corresponding
Numerical value, corresponding first weight of each first information, corresponding second weight of each second information are described to be based on the finger
Line characteristic information determines the first quality evaluation value of the fingerprint image, and based on described in finger vein pattern information determination
Refer to the second quality evaluation value of vein image, comprising:
Based on corresponding multiple first weights of the multiple first information, the multiple first information corresponding multiple first
Numerical value and quality evaluation formula are calculated, and the first quality evaluation value of the fingerprint image is obtained；
Based on corresponding multiple second weights of the multiple second information, the multiple second information corresponding multiple second
Numerical value and the quality evaluation formula are calculated, and the second quality evaluation value for referring to vein image is obtained.
In the implementation of the application, it is true that corresponding first numerical value of the effective area of fingerprint image is based on the first formula
Fixed, the first formula is Q1=S0/ S, wherein Q1For corresponding first numerical value of effective area of fingerprint image, S0For fingerprint image
Effective area, S are the gross area of fingerprint image, S=S0+S1, S0For the invalid of fingerprint image.
In the implementation of the application, it is true that corresponding first numerical value of the drift rate of fingerprint image is based on the second formula
Fixed, the second formula is Q2=1- (Xc- W/2)/(W/2) or Q2=1- (Yc- H/2)/(H/2), wherein Q2For the offset of fingerprint image
Spend corresponding first numerical value, XcAnd YcThe respectively abscissa and ordinate of the mass center in the effective area region of fingerprint image, W and H
The respectively width and length of fingerprint image.
In the implementation of the application, it is true that corresponding first numerical value of the humidity of fingerprint image is based on third formula
Fixed, third formula is Q3=1-ND/N-NW/ N, wherein Q3For corresponding first numerical value of humidity of fingerprint image, ND、NW, N point
It Wei not the dry image block number of fingerprint image, wet image block number and foreground blocks sum.
In the implementation of the application, it is true that corresponding first numerical value of the characteristic point of fingerprint image is based on the 4th formula
Fixed, the 4th formula is Q4=PT/ P, wherein Q4For corresponding first numerical value of characteristic point of fingerprint image, PT, P be respectively fingerprint image
Characteristic point quantity in the characteristic point quantity number and preset fingerprint image of picture.
In the implementation of the application, it is true to refer to that the corresponding second value of the contrast of vein image is based on the 5th formula
Fixed, the 5th formula is Q5=Cδ/ C, wherein Q5For corresponding first numerical value of contrast for referring to vein image, Cδ, C respectively refer to it is quiet
The mean square deviation and standard deviation of arteries and veins image.
It should be noted that the finger corresponding second value of effective area of vein image and having for the fingerprint image
It is identical to imitate the corresponding first numerical value method of determination of area, the corresponding second value of drift rate for referring to vein image and the finger
The corresponding first numerical value method of determination of the drift rate of print image is identical, the corresponding second value of characteristic point for referring to vein image
The first numerical value method of determination corresponding with the characteristic point of the fingerprint image is identical, and this will not be repeated here.
In the implementation of the application, the quality evaluation formula is determined based on the 6th formula, the 6th formula
Are as follows:Wherein Q is total quality evaluation value, QiFor the corresponding numerical value of i-th of information, RiI-th of information is corresponding
Weight.
Step 204: the first ratio and second are determined based on the first quality evaluation value and the second quality evaluation value
Ratio, first ratio is for characterizing accounting of the fingerprint feature information in total biological information, and described second
Ratio is used to characterize accounting of the finger vein pattern information in total biological information.
It is described to be based on the first quality evaluation value and the second quality evaluation value in the implementation of the application
Determine the first ratio and the second ratio, comprising:
The first ratio is determined based on the 7th formula and the second ratio is determined based on the 8th formula, and the 7th formula is m1=
q6/(q6+q7), the 8th formula is m2=q7/(q6+q7), the m1With the m2Respectively described first ratio and described
Two ratios, the q6With the q7The respectively described first quality evaluation value and the second quality evaluation value.
Step 205: identification is carried out based on first ratio and second ratio.
As can be seen that in the embodiment of the present application, first passing through bio-identification mould group and carrying out bio-identification, obtain fingerprint image
With finger vein image；Then the fingerprint image is parsed, fingerprint feature information is obtained, and parses this and refers to vein image, is referred to
Vein pattern information；The first quality evaluation value of fingerprint image is determined based on the fingerprint feature information, and vein is referred to based on this
Characteristic information determines the second quality evaluation value for referring to vein image；It is determined based on the first quality evaluation value and the second quality evaluation value
First ratio and the second ratio, and identification is carried out based on the first ratio and the second ratio, this fusion fingerprint recognition with
Refer to that the multimode recognition of hand vein recognition, collected characteristic information identify collected characteristic information more than single mode, it can be more
The problem of leading to recognition failures since collected characteristic information is very few under single mode identification is mended, to promote identification
Success rate；Meanwhile fingerprint recognition and finger hand vein recognition share a set of bio-identification mould group, solve in multimode recognition using two
Set bio-identification mould group leads to that the bigger space problem of electronic equipment need to be occupied.
It is described that identity knowledge is carried out based on first ratio and second ratio in the implementation of the application
Not, comprising:
The fingerprint image is matched with predetermined fingerprint image, to obtain the first matching degree；
The finger vein image is referred to that vein image matches with predetermined, to obtain the second matching degree；
When first matching degree and second matching degree are all larger than or are equal to first threshold, it is based on described first
Third matching degree is determined with degree, first ratio, second matching degree, second ratio and matching degree formula；
When the third matching degree is greater than or equal to second threshold, identification success is determined.
In the implementation of the application, the matching degree formula is n=m1n1+m2n2, the n is the third
With degree, the n1And n2Respectively described first matching degree and second matching degree.
Wherein, first threshold is, for example, 50%, 60%, 70% or other values, is not limited thereto.
Wherein, second threshold is, for example, 80%, 85%, 90% or other values, is not limited thereto.
In the implementation of the application, the method also includes:
When first matching degree or second matching degree are less than the first threshold, alternatively, in the third
When being less than the second threshold with degree, the identification failure is determined.
For example, the first matching degree is 0, the second matching degree is 100%, and the first ratio is 1/2, and the second ratio is 1/2,
First threshold is 60%, since the first matching degree is less than first threshold, still determines identification failure.
Again for example, the first matching degree is 70%, the second matching degree is 90%, and the first ratio is 1/2, and the second ratio is
1/2, first threshold 60%, second threshold 80%, calculated third matching degree is 80%, determines identification success.
It is described that the finger vein image is referred to that vein image matches with predetermined in the implementation of the application,
Include:
Analyze the characteristic point distribution for referring to vein image；
Circular image interception is carried out to the finger vein image according to a not concentric of M, obtains M circular vein administrative division map
Picture, the M are the integer greater than 3；
Target circle venosomes image, the target circular vein are selected from the M circular vein area image
The quantity for the characteristic point that area image is included is greater than other circular vein administrative division maps in the M circular vein area image
Picture；
The target circle venosomes image is divided to obtain N number of annulus, the ring width of N number of annulus is identical；
Since N number of annulus the smallest annulus of radius, by N number of annulus successively with predetermined finger vein image into
Row Feature Points Matching, and the accumulative matching value for having matched annulus.
As can be seen that in the embodiment of the present application, being only all larger than or waiting in the first matching degree and second matching degree
When first threshold, identification is just carried out, avoid due to fingerprint recognition image or refers to that vein image is that the image of duplication is made
At the situation that identification is successful, the safety of identification is improved.
In the implementation of the application, the electronic equipment further includes bio-identification region, the bio-identification mould
Group includes transmitter and biometric sensor, and the transmitter is described to be known by the biology for emitting infrared signal
Other mould group carries out bio-identification, obtains fingerprint image and refers to vein image, comprising:
It controls the transmitter and emits the first infrared signal irradiation bio-identification region, and pass through the biology
It identifies that mould group carries out fingerprint recognition, obtains fingerprint image；
It controls the transmitter and emits the second infrared signal irradiation bio-identification region, and pass through the biology
Identification mould group carries out finger hand vein recognition, obtains referring to vein image；
The frequency of first infrared signal and second infrared signal is different, and finger vena blood is to described the
The absorptivity of one infrared signal is less than the absorptivity to second infrared signal.
Wherein, it flows through and refers to that the hemoglobin of venous blood has absorption to the infrared signal near 700nm~1000nm
Effect.For example, the frequency of the first infrared signal is 500GHz, the frequency of the second infrared signal is 375GHz.
As can be seen that in the embodiment of the present application, acquisition fingerprint image and the optical signal for referring to vein image are infrared light
Signal can carry out the acquisition of biological information without lighting up bio-identification region, save power consumption.
In the implementation of the application, the finger venous information includes third information, and the third information includes hand
Refer to the light and shade variation degree of venous blood and/or the stretch variation degree of finger vena, it is described to be based on first ratio and institute
Before stating the progress identification of the second ratio, the method also includes:
The flowing velocity of finger vena blood is determined based on the third information；
When the flowing velocity of the finger vena blood is greater than or equal to First Speed, the fingerprint image and institute are determined
It states and refers to that the associated finger of vein image is live finger.
Wherein, First Speed can be for example 0.1mm/s, 0.2mm/s, 0.3mm/s or other values, not limit herein
It is fixed.
For example, obtaining fingers vein image every 0.1ms, determine that same position is stretched in every finger vein image
Open variation degree, it is assumed that the stretch variation degree of first finger vein image is 0, the stretch variation journey of second finger vein image
Degree is 0.01mm, and third refers to that the stretch variation degree of vein image is 0.02mm, the stretch variation of the 4th finger vein image
Degree is 0.03mm, then can determine that the flowing velocity of finger vena blood is 0.1mm/s.
As can be seen that in the embodiment of the present application, before carrying out identification, first carrying out living body verifying, further mentioning
The high safety of identification.
In the implementation of the application, the control transmitter emits the first infrared signal and irradiates the life
Before object identification region, the method also includes:
Determine the first of the fingerprint image and the finger associated finger of vein image and the biometric sensor
The movement speed of distance and the finger；
The running parameter of the transmitter, the running parameter packet are determined based on the first distance and the movement speed
Include following at least one: transmission power, launch time, light signal strength.
For example, as shown in table 1, table 1 is first distance, the mapping table of movement speed and running parameter.
Table 1
As can be seen that in the embodiment of the present application, determining transmission power by first distance and movement speed, can both mentioning
The acquisition speed of high biological information, while also more enough saving power consumptions.
It is consistent with the embodiment shown in Fig. 2, referring to Fig. 3, Fig. 3 is a kind of identity provided by the embodiments of the present application
The flow diagram of recognition methods, applied to the electronic equipment including bio-identification mould group, the electronic equipment further includes biology
Identification region, the bio-identification mould group include transmitter and biometric sensor, and the transmitter is for emitting infrared light
Signal, this personal identification method include:
Step 301: determining the first distance of finger and the biometric sensor and the movement speed of the finger.
Step 302: the running parameter of the transmitter, the work are determined based on the first distance and the movement speed
It is comprised at least one of the following as parameter: transmission power, launch time, light signal strength.
Step 303: controlling the transmitter and be based on running parameter transmitting the first infrared signal irradiation biology
Identification region, and fingerprint recognition is carried out by the bio-identification mould group, obtain fingerprint image.
Step 304: controlling the transmitter and be based on running parameter transmitting the second infrared signal irradiation biology
Identification region, and finger hand vein recognition is carried out by the bio-identification mould group, it obtains referring to vein image, first infrared light
Signal is different with the frequency of second infrared signal, and finger vena blood is small to the absorptivity of first infrared signal
In the absorptivity to second infrared signal.
Step 305: parsing the fingerprint image, obtain fingerprint feature information, and the parsing finger vein image, obtain
Refer to vein pattern information, the fingerprint feature information includes multiple first information, and the finger vein pattern information includes multiple the
Two information, corresponding first numerical value of each first information, the corresponding second value of each second information, each first information
Corresponding first weight, corresponding second weight of each second information, the finger venous information includes third information, described
Third information includes the light and shade variation degree of finger vena blood and/or the stretch variation degree of finger vena.
Step 306: the flowing velocity of finger vena blood is determined based on the third information.
Step 307: determining whether the flowing velocity of the finger vena blood is greater than or equal to First Speed.
If so, thening follow the steps 308；
If it is not, thening follow the steps 318.
Step 308: determining that the finger is live finger.
Step 309: being based on corresponding multiple first weights of the multiple first information, the multiple first information is corresponding
Multiple first numerical value and quality evaluation formula are calculated, and the first quality evaluation value of the fingerprint image is obtained.
Step 310: being based on corresponding multiple second weights of the multiple second information, the multiple second information is corresponding
Multiple second values and the quality evaluation formula are calculated, and the second quality evaluation value for referring to vein image is obtained.
Step 311: the first ratio and second are determined based on the first quality evaluation value and the second quality evaluation value
Ratio, first ratio is for characterizing accounting of the fingerprint feature information in total biological information, and described second
Ratio is used to characterize accounting of the finger vein pattern information in total biological information.
Step 312: the fingerprint image is matched with predetermined fingerprint image, to obtain the first matching degree, and will
The finger vein image refers to that vein image is matched with predetermined, to obtain the second matching degree.
Step 313: determining whether first matching degree and second matching degree are all larger than or are equal to first threshold.
If so, thening follow the steps 314；
If it is not, thening follow the steps 318.
Step 314: when first matching degree and second matching degree are all larger than or are equal to first threshold, being based on institute
It states the first matching degree, first ratio, second matching degree, second ratio and matching degree formula and determines that third matches
Degree.
Step 315: determining whether the third matching degree is greater than or equal to second threshold.
If so, thening follow the steps 316.
If it is not, thening follow the steps 317.
Step 316: determining identification success.
Step 317: determining the identification failure.
It should be noted that the specific implementation process of the present embodiment can be found in specific implementation described in above method embodiment
Process no longer describes herein.
It is consistent with above-mentioned Fig. 2 and embodiment shown in Fig. 3, referring to Fig. 4, Fig. 4 is provided by the embodiments of the present application one
The structural schematic diagram of kind electronic equipment, as shown, the electronic equipment includes memory, communication interface and one or more journeys
Sequence, wherein said one or multiple programs are stored in above-mentioned memory, and are configured to be executed by above-mentioned processor, on
Stating program includes the instruction for executing following steps:
Bio-identification is carried out by the bio-identification mould group, obtain fingerprint image and refers to vein image；
The fingerprint image is parsed, fingerprint feature information, and the parsing finger vein image are obtained, obtains referring to that vein is special
Reference breath；
The first quality evaluation value of the fingerprint image is determined based on the fingerprint feature information, and quiet based on the finger
Arteries and veins characteristic information determines the second quality evaluation value for referring to vein image；
The first ratio and the second ratio are determined based on the first quality evaluation value and the second quality evaluation value, it is described
First ratio is used for table for characterizing accounting of the fingerprint feature information in total biological information, second ratio
Levy accounting of the finger vein pattern information in total biological information；
Identification is carried out based on first ratio and second ratio.
In the implementation of the application, the fingerprint feature information includes multiple first information, and the finger vein is special
Reference breath includes multiple second information, and each first information corresponds to first numerical value, and each second information is one second corresponding
Numerical value, corresponding first weight of each first information, corresponding second weight of each second information are being based on the fingerprint
Characteristic information determines the first quality evaluation value of the fingerprint image, and determines the finger based on the finger vein pattern information
In terms of second quality evaluation value of vein image, above procedure includes the instruction specifically for executing following steps:
Based on corresponding multiple first weights of the multiple first information, the multiple first information corresponding multiple first
Numerical value and quality evaluation formula are calculated, and the first quality evaluation value of the fingerprint image is obtained；
Based on corresponding multiple second weights of the multiple second information, the multiple second information corresponding multiple second
Numerical value and the quality evaluation formula are calculated, and the second quality evaluation value for referring to vein image is obtained.
In the implementation of the application, identification side is being carried out based on first ratio and second ratio
Face, above procedure include the instruction specifically for executing following steps:
The fingerprint image is matched with predetermined fingerprint image, to obtain the first matching degree；
The finger vein image is referred to that vein image matches with predetermined, to obtain the second matching degree；
When first matching degree and second matching degree are all larger than or are equal to first threshold, it is based on described first
Third matching degree is determined with degree, first ratio, second matching degree, second ratio and matching degree formula；
When the third matching degree is greater than or equal to second threshold, identification success is determined.
In the implementation of the application, identification side is being carried out based on first ratio and second ratio
Face, above procedure include the instruction specifically for executing following steps:
When first matching degree or second matching degree are less than the first threshold, alternatively, in the third
When being less than the second threshold with degree, the identification failure is determined.
In the implementation of the application, the electronic equipment further includes bio-identification region, the bio-identification mould
Group includes transmitter and biometric sensor, and the transmitter is passing through the bio-identification for emitting infrared signal
Mould group carries out bio-identification, and in terms of obtaining fingerprint image and referring to vein image, above procedure includes being specifically used for executing following step
Rapid instruction:
It controls the transmitter and emits the first infrared signal irradiation bio-identification region, and pass through the biology
It identifies that mould group carries out fingerprint recognition, obtains fingerprint image；
It controls the transmitter and emits the second infrared signal irradiation bio-identification region, and pass through the biology
Identification mould group carries out finger hand vein recognition, obtains referring to vein image；
The frequency of first infrared signal and second infrared signal is different, and finger vena blood is to described the
The absorptivity of one infrared signal is less than the absorptivity to second infrared signal.
In the implementation of the application, the finger venous information includes third information, and the third information includes hand
Refer to the light and shade variation degree of venous blood and/or the stretch variation degree of finger vena, based on first ratio and described
Before second ratio carries out identification, above procedure includes the instruction for being also used to execute following steps:
The flowing velocity of finger vena blood is determined based on the third information；
When the flowing velocity of the finger vena blood is greater than or equal to First Speed, the fingerprint image and institute are determined
It states and refers to that the associated finger of vein image is live finger.
In the implementation of the application, emit the first infrared signal irradiation biology controlling the transmitter
Before identification region, above procedure includes the instruction for being also used to execute following steps:
Determine the first of the fingerprint image and the finger associated finger of vein image and the biometric sensor
The movement speed of distance and the finger；
The running parameter of the transmitter, the running parameter packet are determined based on the first distance and the movement speed
Include following at least one: transmission power, launch time, light signal strength.
It should be noted that the specific implementation process of the present embodiment can be found in specific implementation described in above method embodiment
Process no longer describes herein.
Above-described embodiment is mainly described the scheme of the embodiment of the present application from the angle of method side implementation procedure.It can
With understanding, in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or soft for electronic equipment
Part module.Those skilled in the art should be readily appreciated that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function is studied carefully
Unexpectedly it is executed in a manner of hardware or computer software driving hardware, the specific application and design constraint depending on technical solution
Condition.Professional technician can specifically realize described function to each using distinct methods, but this
It realizes it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to the method example to electronic equipment, for example, can
With each functional unit of each function division of correspondence, two or more functions can also be integrated in a processing unit
In.The integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
It is noted that be schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
It is below the application Installation practice, the application Installation practice is realized for executing the application embodiment of the method
Method.Referring to Fig. 5, Fig. 5 is a kind of structural schematic diagram of identity recognition device provided by the embodiments of the present application, it is applied to packet
The electronic equipment of bio-identification mould group is included, described device includes:
Image acquisition units 501 obtain fingerprint image and refer to for carrying out bio-identification by the bio-identification mould group
Vein image；
Resolution unit 502 obtains fingerprint feature information, and the parsing finger vein for parsing the fingerprint image
Image obtains referring to vein pattern information；
Determination unit 503, for determining the first quality evaluation value of the fingerprint image based on the fingerprint feature information,
And the second quality evaluation value for referring to vein image is determined based on the finger vein pattern information；Based on first mass
Evaluation of estimate and the second quality evaluation value determine the first ratio and the second ratio, and first ratio is for characterizing the fingerprint
Accounting of the characteristic information in total biological information, second ratio is for characterizing the finger vein pattern information total
Biological information in accounting；
Identity recognizing unit 504, for carrying out identification based on first ratio and second ratio.
In the implementation of the application, the fingerprint feature information includes multiple first information, and the finger vein is special
Reference breath includes multiple second information, and each first information corresponds to first numerical value, and each second information is one second corresponding
Numerical value, corresponding first weight of each first information, corresponding second weight of each second information are being based on the fingerprint
Characteristic information determines the first quality evaluation value of the fingerprint image, and determines the finger based on the finger vein pattern information
In terms of second quality evaluation value of vein image, determination unit 503 is specifically used for corresponding more based on the multiple first information
A first weight, corresponding multiple first numerical value of the multiple first information and quality evaluation formula are calculated, and are obtained described
First quality evaluation value of fingerprint image；Based on corresponding multiple second weights of the multiple second information, the multiple second
The corresponding multiple second values of information and the quality evaluation formula are calculated, and second mass for referring to vein image is obtained
Evaluation of estimate.
In the implementation of the application, identification side is being carried out based on first ratio and second ratio
Face, identity recognizing unit 504, specifically for matching the fingerprint image with predetermined fingerprint image, to obtain first
With degree；The finger vein image is referred to that vein image matches with predetermined, to obtain the second matching degree；In first matching
When degree and second matching degree are all larger than or are equal to first threshold, based on first matching degree, first ratio, described
Second matching degree, second ratio and matching degree formula determine third matching degree；It is greater than or equal in the third matching degree
When second threshold, identification success is determined.
In the implementation of the application, identification side is being carried out based on first ratio and second ratio
Face, identity recognizing unit 504 are specifically used for being less than the first threshold in first matching degree or second matching degree
When, alternatively, determining the identification failure when the third matching degree is less than the second threshold.
In the implementation of the application, the electronic equipment further includes bio-identification region, the bio-identification mould
Group includes transmitter and biometric sensor, and the transmitter is passing through the bio-identification for emitting infrared signal
Mould group carries out bio-identification, and in terms of obtaining fingerprint image and referring to vein image, image acquisition units 501 are specifically used for control institute
It states transmitter and emits the first infrared signal irradiation bio-identification region, and referred to by the bio-identification mould group
Line identification, obtains fingerprint image；It controls the transmitter and emits the second infrared signal irradiation bio-identification region, and
Finger hand vein recognition is carried out by the bio-identification mould group, obtains referring to vein image；First infrared signal and described
The frequency of two infrared signals is different, and finger vena blood is less than to described second absorptivity of first infrared signal
The absorptivity of infrared signal.
In the implementation of the application, the finger venous information includes third information, and the third information includes hand
Refer to the light and shade variation degree of venous blood and/or the stretch variation degree of finger vena, based on first ratio and described
Before second ratio carries out identification, determination unit 503 is also used to determine finger vena blood based on the third information
Flowing velocity；The finger vena blood flowing velocity be greater than or equal to First Speed when, determine the fingerprint image and
The associated finger of the finger vein image is live finger.
In the implementation of the application, emit the first infrared signal irradiation biology controlling the transmitter
Before identification region, determination unit 503 is also used to determine the fingerprint image and the associated finger of the finger vein image and institute
State the first distance of biometric sensor and the movement speed of the finger；Based on the first distance and the movement speed
Determine that the running parameter of the transmitter, the running parameter comprise at least one of the following: transmission power, launch time, light letter
Number intensity.
It should be noted that image acquisition units 501, resolution unit 502, determination unit 503 and identity recognizing unit 504
It can be realized by processor.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment
Some or all of method step, above-mentioned computer include electronic equipment.
The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either record method step in method embodiment.The computer program product can be a software installation
Packet, above-mentioned computer includes electronic equipment.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of said units, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English:
Random Access Memory, referred to as: RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of personal identification method, which is characterized in that applied to the electronic equipment including bio-identification mould group, the method packet
It includes:
Bio-identification is carried out by the bio-identification mould group, obtain fingerprint image and refers to vein image；
The fingerprint image is parsed, fingerprint feature information, and the parsing finger vein image are obtained, obtains referring to vein pattern letter
Breath；
The first quality evaluation value of the fingerprint image is determined based on the fingerprint feature information, and special based on the finger vein
Reference breath determines the second quality evaluation value for referring to vein image；
The first ratio and the second ratio are determined based on the first quality evaluation value and the second quality evaluation value, described first
Ratio is for characterizing accounting of the fingerprint feature information in total biological information, and second ratio is for characterizing institute
State the accounting for referring to vein pattern information in total biological information；
Identification is carried out based on first ratio and second ratio.
2. the method according to claim 1, wherein the fingerprint feature information includes multiple first information, institute
It states and refers to that vein pattern information includes multiple second information, corresponding first numerical value of each first information, each second information pair
A second value is answered, corresponding first weight of each first information, each second information corresponds to second weight, described
The first quality evaluation value of the fingerprint image is determined based on the fingerprint feature information, and is believed based on the finger vein pattern
Breath determines the second quality evaluation value for referring to vein image, comprising:
Based on corresponding multiple first weights of the multiple first information, corresponding multiple first numerical value of the multiple first information
It is calculated with quality evaluation formula, obtains the first quality evaluation value of the fingerprint image；
Based on corresponding multiple second weights of the multiple second information, the corresponding multiple second values of the multiple second information
It is calculated with the quality evaluation formula, obtains the second quality evaluation value for referring to vein image.
3. method according to claim 1 or 2, which is characterized in that described to be compared based on first ratio with described second
Example carries out identification, comprising:
The fingerprint image is matched with predetermined fingerprint image, to obtain the first matching degree；
The finger vein image is referred to that vein image matches with predetermined, to obtain the second matching degree；
When first matching degree and second matching degree are all larger than or are equal to first threshold, based on first matching
Degree, first ratio, second matching degree, second ratio and matching degree formula determine third matching degree；
When the third matching degree is greater than or equal to second threshold, identification success is determined.
4. according to the method described in claim 3, it is characterized in that, the method also includes:
When first matching degree or second matching degree are less than the first threshold, alternatively, in the third matching degree
When less than the second threshold, the identification failure is determined.
5. method according to claim 1-4, which is characterized in that the electronic equipment further includes bio-identification area
Domain, the bio-identification mould group include transmitter and biometric sensor, and the transmitter is for emitting infrared signal, institute
It states and bio-identification is carried out by the bio-identification mould group, obtain fingerprint image and refer to vein image, comprising:
It controls the transmitter and emits the first infrared signal irradiation bio-identification region, and pass through the bio-identification
Mould group carries out fingerprint recognition, obtains fingerprint image；
It controls the transmitter and emits the second infrared signal irradiation bio-identification region, and pass through the bio-identification
Mould group carries out finger hand vein recognition, obtains referring to vein image；
First infrared signal is different with the frequency of second infrared signal, and finger vena blood is red to described first
The absorptivity of outer optical signal is less than the absorptivity to second infrared signal.
6. method according to claim 1-5, which is characterized in that the finger venous information includes third information,
The third information includes the light and shade variation degree of finger vena blood and/or the stretch variation degree of finger vena, the base
Before first ratio and second ratio carry out identification, the method also includes:
The flowing velocity of finger vena blood is determined based on the third information；
When the flowing velocity of the finger vena blood is greater than or equal to First Speed, the fingerprint image and the finger are determined
The associated finger of vein image is live finger.
7. method according to claim 5 or 6, the control transmitter emits described in the irradiation of the first infrared signal
Before bio-identification region, the method also includes:
Determine the fingerprint image and the first distance for referring to vein image associated finger and the biometric sensor
With the movement speed of the finger；
Determine the running parameter of the transmitter based on the first distance and the movement speed, the running parameter include with
Lower at least one: transmission power, launch time, light signal strength.
8. a kind of identity recognition device, which is characterized in that applied to the electronic equipment including bio-identification mould group, described device packet
It includes:
Image acquisition units, for carrying out bio-identification by the bio-identification mould group, obtaining fingerprint image and referring to vein figure
Picture；
Resolution unit obtains fingerprint feature information, and the parsing finger vein image, obtains for parsing the fingerprint image
To finger vein pattern information；
Determination unit, for determining the first quality evaluation value of the fingerprint image, Yi Jiji based on the fingerprint feature information
The second quality evaluation value for referring to vein image is determined in the finger vein pattern information；Based on the first quality evaluation value
The first ratio and the second ratio are determined with the second quality evaluation value, and first ratio is for characterizing the fingerprint characteristic letter
The accounting in total biological information is ceased, second ratio is for characterizing the finger vein pattern information in total biology
Accounting in characteristic information；
Identity recognizing unit, for carrying out identification based on first ratio and second ratio.
9. a kind of electronic equipment, which is characterized in that including processor, memory, communication interface, and one or more programs,
One or more of programs are stored in the memory, and are configured to be executed by the processor, described program packet
Include the instruction for executing the step in the method according to claim 1 to 7.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program are executed by processor to realize method described in claim 1 to 7 any one.
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| CN111274890A (en) * | 2020-01-14 | 2020-06-12 | 北京集创北方科技股份有限公司 | Detection method, device, equipment and storage medium |
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