CN105912906B - The method of the unlatching application program co-melting with people - Google Patents
The method of the unlatching application program co-melting with people Download PDFInfo
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- CN105912906B CN105912906B CN201610229028.1A CN201610229028A CN105912906B CN 105912906 B CN105912906 B CN 105912906B CN 201610229028 A CN201610229028 A CN 201610229028A CN 105912906 B CN105912906 B CN 105912906B
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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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
- G06F9/4451—User profiles; Roaming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/34—Smoothing or thinning of the pattern; Morphological operations; Skeletonisation
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
Abstract
The invention discloses a kind of and co-melting unlatching application program of people methods, achieved the purpose that using the method for fingerprint authentication co-melting with people, specifically include fingerprint recognition program and cipher key procedures, the fingerprint recognition program includes the control module that the fingerprint identification module being sequentially connected electrically, fingerprint image processing module, transmission module, fingerprint authentication module and control application program are opened, the cipher key procedures are electrically connected with control module, and the fingerprint authentication module promotes control module to open application program in the effective fingerprint image of input or cipher key procedures after inputting proper password;The fingerprint image processing module includes that finger print information verifies submodule, image grayscale processing submodule, image texture parameter computation module, image segmentation submodule and image enhancement submodule.The present invention is safe and efficient, and opening program speed is fast, highly-safe.
Description
Technical field
The present invention relates to information security fields, and in particular to a method of the unlatching application program co-melting with people.
Background technique
In the related technology, higher using fingerprint recognition unlatching application security rank but also higher to finger requirement, it does
Finger, wet finger, the recognition effect of shallow texture finger are poor, and recognition efficiency and accuracy of identification are lower.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of method of safely and efficiently unlatching application program co-melting with people.
The purpose of the present invention is realized using following technical scheme:
A kind of and co-melting unlatching application program of people method is provided, reaches co-melting with people using the method for fingerprint authentication
Purpose, specifically include fingerprint recognition program and cipher key procedures, the fingerprint recognition program includes that the fingerprint being sequentially connected electrically is known
Other module, fingerprint image processing module, transmission module, fingerprint authentication module and the control module for controlling closing application program, institute
It states cipher key procedures to be electrically connected with control module, the fingerprint authentication module is inputting effective fingerprint image or cipher key procedures defeated
Control module is promoted to open application program after entering proper password;The fingerprint image processing module includes:
(1) finger print information verifies submodule, acquires the temperature and pulse data for being detected tissue, and pass through analysis acquisition
Data come judge by fingerprint identification module transmit fingerprint image it is whether effective, if acquire for continuous 2 times or more be detected
The temperature and pulse data of tissue are all in preset range, then determine that the fingerprint image of fingerprint identification module transmission is effective;
(2) image grayscale handles submodule, for carrying out gray proces to effective fingerprint image, with pixel when processing
Centered on (x, y), calculate 3 × 3 neighborhoods in gray average M, intermediate value Z, due to acquisition the effective fingerprint image and and its
Can slightly have deviation between the fingerprint image of verifying in the same plane, set fingerprint image correction factor
The calculation formula of gray average M are as follows:
Treated grey scale pixel value are as follows:
When I (x, y) >=M, I'(x, y)=M+Z/2
When I (x, y) < M, I'(x, y)=M-Z/2
Wherein, I (x, y) is original gray value of the fingerprint image at pixel (x, y), I'(x, y) for after gray proces
Gray value of the fingerprint image at pixel (x, y),For the effective fingerprint image and the fingerprint image verified with it
Each pixel point value between standard deviation;
(3) image texture parameter computation module uses adaptive impovement type gaussian filtering equation to gray proces mistake
The field of direction of fingerprint image be smoothed, when processing, fingerprint image is resolved into do not overlap, the sub-block that size is,
The coordinate of each central point of sub-block is (m, n), the adaptive impovement type gaussian filtering equation are as follows:
Wherein, d (m, n) is the distance from central point (m, n) to frequency plane origin;σ is filtering factor, indicates Gaussian function
σ=0.6 is arranged in the more smooth position of the fingerprint ridge line and valley line of sub-block, in the fingerprint ridge line of sub-block in several smoothness
It is broken with valley line and σ=5 is arranged in fuzzy position.
Preferably, the fingerprint image processing module further include:
(1) image segmentation submodule, in each sub-block rapidly extracting belong to the sub-block in actual fingerprint region, extract
When, by gray average M (k, l) and variance D (k, l) through image grayscale treated each sub-block (k, l) and fingerprint image institute
There is the gray average M of pixel0With variance D0It is compared, if M (k, l) > M0And D (k, l) > D0, then the sub-block belongs to actual fingerprint
The sub-block in region;
(2) image enhancement submodule uses Gabor filter to carry out image increasing to the sub-block for belonging to actual fingerprint region
Strength reason, is arranged δxWith δyGaussian envelope constant respectively in the function of Gabor filter in x-axis and y-axis direction calculates
Each belong to the difference c of the sub-block of finger-print region and the field of direction of two sub-blocks of left and right neighborhood0, c1, belong to fingerprint region according to described
The parametric texture given threshold T of the sub-block in domain1, the value range of the threshold value T1 is 10 °~20 °, Gaussian envelope constant δxWith δy
Value are as follows:
c0< T1And c1< T1When, δx=4, δy=4;
c0> T2And c1> T2When, δx=5, δy=5;
Other situations, δx=4.5, δy=4.5.
Further, described to further include and finger print information verification submodule electricity with the co-melting unlatching application program of people method
The buzzer siren of connection, if finger print information verifies the temperature and arteries and veins of continuous 2 times or more the detected tissues acquired in submodule
When data of fighting all are not in preset range, the buzzer siren is alarmed.
The invention has the benefit that
1, safe and efficient, setting can enhance the fingerprint recognition program of fingerprint image, wherein to fingerprint image gray scale
Reason, treated fingerprint image can wiping out background noise, and texture will not obscure in filtering, and contrast is increased
By force;The frequency fields of fingerprint image are smoothed using adaptive impovement type gaussian filtering equation, obtained frequency fields are more
It can reflect fingerprint texture characteristic;Fingerprint image is split using the comprehensive distinguishing method based on grayscale information, overcome according to
The problem of texture variations intense regions direction cannot accurately be obtained by directional information split plot design, can accurately rapidly extracting belong to very
The sub-block of real finger-print region;Belong to the parametric texture given threshold of the sub-block of finger-print region in Gabor filter according to, leads to
It crosses and each belongs to the sub-block of finger-print region and select height compared with threshold value with the difference of the field of direction of two sub-blocks of left and right neighborhood
The value of this envelope constant can targetedly enhance fingerprint image, improve the efficiency and precision of fingerprint recognition;
2, the setting of buzzer siren improves the safety of the method for the unlatching application program co-melting with people;
3, the setting of cipher key procedures may help to user in finger injuries or under other promote the obsolete situation of finger
Application program is opened by the password of oneself setting.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
The connection schematic diagram of Fig. 1 component of the present invention.
Specific embodiment
The invention will be further described with the following Examples.
Embodiment 1
Referring to Fig. 1, the present invention provides the methods of the unlatching application program co-melting with people, are reached using the method for fingerprint authentication
To the purpose co-melting with people, fingerprint recognition program and cipher key procedures are specifically included, stating fingerprint recognition program includes being sequentially connected electrically
Fingerprint identification module, fingerprint image processing module, transmission module, fingerprint authentication module and control closing application program control
Module, the cipher key procedures are electrically connected with control module, and the fingerprint authentication module is inputting effective fingerprint image or key
Program promotes control module to open application program after inputting proper password;The fingerprint image processing module includes:
(1) finger print information verifies submodule, acquires the temperature and pulse data for being detected tissue, and pass through analysis acquisition
Data come judge by fingerprint identification module transmit fingerprint image it is whether effective, if acquire for continuous 2 times or more be detected
The temperature and pulse data of tissue are all in preset range, then determine that the fingerprint image of fingerprint identification module transmission is effective;
(2) image grayscale handles submodule, for carrying out gray proces to effective fingerprint image, with pixel when processing
Centered on (x, y), calculate 3 × 3 neighborhoods in gray average M, intermediate value Z, due to acquisition the effective fingerprint image and and its
Can slightly have deviation between the fingerprint image of verifying in the same plane, set fingerprint image correction factor
The calculation formula of gray average M are as follows:
Treated grey scale pixel value are as follows:
When I (x, y) >=M, I'(x, y)=M+Z/2
When I (x, y) < M, I'(x, y)=M-Z/2
Wherein, I (x, y) is original gray value of the fingerprint image at pixel (x, y), I'(x, y) for after gray proces
Gray value of the fingerprint image at pixel (x, y),For the effective fingerprint image and the fingerprint image verified with it
Each pixel point value between standard deviation.
(3) image texture parameter computation module uses adaptive impovement type gaussian filtering equation to gray proces mistake
The field of direction of fingerprint image be smoothed, when processing, fingerprint image is resolved into do not overlap, the sub-block that size is,
The coordinate of each central point of sub-block is (m, n), the adaptive impovement type gaussian filtering equation are as follows:
Wherein, d (m, n) is the distance from central point (m, n) to frequency plane origin;σ is filtering factor, indicates Gaussian function
σ=0.6 is arranged in the more smooth position of the fingerprint ridge line and valley line of sub-block, in the fingerprint ridge line of sub-block in several smoothness
It is broken with valley line and σ=5 is arranged in fuzzy position;
Preferably, the fingerprint image processing module further include:
(1) image segmentation submodule, in each sub-block rapidly extracting belong to the sub-block in actual fingerprint region, extract
When, by gray average M (k, l) and variance D (k, l) through image grayscale treated each sub-block (k, l) and fingerprint image institute
There is the gray average M of pixel0With variance D0It is compared, if M (k, l) > M0And D (k, l) > D0, then the sub-block belongs to actual fingerprint
The sub-block in region;
(2) image enhancement submodule uses Gabor filter to carry out image increasing to the sub-block for belonging to actual fingerprint region
Strength reason, is arranged δxWith δyGaussian envelope constant respectively in the function of Gabor filter in x-axis and y-axis direction calculates
Each belong to the difference c of the sub-block of finger-print region and the field of direction of two sub-blocks of left and right neighborhood0, c1, belong to fingerprint region according to described
The value range of parametric texture the given threshold T1, the threshold value T1 of the sub-block in domain are 10 °~20 °, Gaussian envelope constant δxWith δy
Value are as follows:
c0< T1And c1< T1When, δx=4, δy=4;
c0> T2And c1> T2When, δx=5, δy=5;
Other situations, δx=4.5, δy=4.5.
Further, described to further include and finger print information verification submodule electricity with the co-melting unlatching application program of people method
The buzzer siren of connection, if finger print information verifies the temperature and arteries and veins of continuous 2 times or more the detected tissues acquired in submodule
When data of fighting all are not in preset range, the buzzer siren is alarmed.
The method safety of the unlatching application program co-melting with people of the present embodiment is efficient, wherein the setting of cipher key procedures, it can
With help user finger injuries or other promote to open application by the password of oneself setting in the obsolete situation of finger
Program;The setting of buzzer siren improves the safety of the method for the unlatching application program co-melting with people;Setting, which can enhance, to be referred to
The fingerprint recognition program of print image, wherein handling fingerprint image gray scale, treated, and fingerprint image being capable of wiping out background
Noise, and texture will not obscure in filtering, contrast is enhanced;Using adaptive impovement type gaussian filtering equation pair
The frequency fields of fingerprint image are smoothed, and obtained frequency fields can more reflect fingerprint texture characteristic;Believe using based on gray scale
The comprehensive distinguishing method of breath is split fingerprint image, and texture cannot accurately be obtained by directional information split plot design by, which overcoming, becomes
The problem of changing intense regions direction, can accurate rapidly extracting belong to the sub-block in actual fingerprint region;Basis in Gabor filter
The parametric texture given threshold of the sub-block for belonging to finger-print region passes through each sub-block for belonging to finger-print region and left and right neighborhood
The difference of the field of direction of two sub-blocks selects the value of Gaussian envelope constant compared with threshold value, can carry out to fingerprint image
Targetedly enhance, given threshold T in the present embodiment1=10 °, the efficiency of opening program improves 15%, and the safety is improved
20%.
Embodiment 2
Referring to Fig. 1, the present invention provides the methods of the unlatching application program co-melting with people, are reached using the method for fingerprint authentication
To the purpose co-melting with people, fingerprint recognition program and cipher key procedures are specifically included, the fingerprint recognition program includes successively being electrically connected
Fingerprint identification module, fingerprint image processing module, transmission module, fingerprint authentication module and the control for controlling closing application program connect
Molding block, the cipher key procedures are electrically connected with control module, and the fingerprint authentication module is inputting effective fingerprint image or close
Key program promotes control module to open application program after inputting proper password;The fingerprint image processing module includes:
(1) finger print information verifies submodule, acquires the temperature and pulse data for being detected tissue, and pass through analysis acquisition
Data come judge by fingerprint identification module transmit fingerprint image it is whether effective, if acquire for continuous 2 times or more be detected
The temperature and pulse data of tissue are all in preset range, then determine that the fingerprint image of fingerprint identification module transmission is effective;
(2) image grayscale handles submodule, for carrying out gray proces to effective fingerprint image, with pixel when processing
Centered on (x, y), calculate 3 × 3 neighborhoods in gray average M, intermediate value Z, due to acquisition the effective fingerprint image and and its
Can slightly have deviation between the fingerprint image of verifying in the same plane, set fingerprint image correction factor
The calculation formula of gray average M are as follows:
Treated grey scale pixel value are as follows:
When I (x, y) >=M, I'(x, y)=M+Z/2
When I (x, y) < M, I'(x, y)=M-Z/2
Wherein, I (x, y) is original gray value of the fingerprint image at pixel (x, y), I'(x, y) for after gray proces
Gray value of the fingerprint image at pixel (x, y),For the effective fingerprint image and the fingerprint image verified with it
Each pixel point value between standard deviation;
(3) image texture parameter computation module uses adaptive impovement type gaussian filtering equation to gray proces mistake
The field of direction of fingerprint image be smoothed, when processing, fingerprint image is resolved into do not overlap, the sub-block that size is,
The coordinate of each central point of sub-block is (m, n), the adaptive impovement type gaussian filtering equation are as follows:
Wherein, d (m, n) is the distance from central point (m, n) to frequency plane origin;σ is filtering factor, indicates Gaussian function
σ=0.6 is arranged in the more smooth position of the fingerprint ridge line and valley line of sub-block, in the fingerprint ridge line of sub-block in several smoothness
It is broken with valley line and σ=5 is arranged in fuzzy position.
Preferably, the fingerprint image processing module further include:
(1) image segmentation submodule, in each sub-block rapidly extracting belong to the sub-block in actual fingerprint region, extract
When, by gray average M (k, l) and variance D (k, l) through image grayscale treated each sub-block (k, l) and fingerprint image institute
There is the gray average M of pixel0With variance D0It is compared, if M (k, l) > M0And D (k, l) > D0, then the sub-block belongs to actual fingerprint
The sub-block in region;
(2) image enhancement submodule uses Gabor filter to carry out image increasing to the sub-block for belonging to actual fingerprint region
Strength reason, is arranged δxWith δyGaussian envelope constant respectively in the function of Gabor filter in x-axis and y-axis direction calculates
Each belong to the difference c of the sub-block of finger-print region and the field of direction of two sub-blocks of left and right neighborhood0, c1, belong to fingerprint region according to described
The value range of parametric texture the given threshold T1, the threshold value T1 of the sub-block in domain are 10 °~20 °, Gaussian envelope constant δxWith δy
Value are as follows:
c0< T1And c1< T1When, δx=4, δy=4;
c0> T2And c1> T2When, δx=5, δy=5;
Other situations, δx=4.5, δy=4.5.
Further, described to further include and finger print information verification submodule electricity with the co-melting unlatching application program of people method
The buzzer siren of connection, if finger print information verifies the temperature and arteries and veins of continuous 2 times or more the detected tissues acquired in submodule
When data of fighting all are not in preset range, the buzzer siren is alarmed.
The method safety of the unlatching application program co-melting with people of the present embodiment is efficient, wherein the setting of cipher key procedures, it can
With help user finger injuries or other promote to open application by the password of oneself setting in the obsolete situation of finger
Program;The setting of buzzer siren improves the safety of the method for the unlatching application program co-melting with people;Setting, which can enhance, to be referred to
The fingerprint recognition program of print image, wherein handling fingerprint image gray scale, treated, and fingerprint image being capable of wiping out background
Noise, and texture will not obscure in filtering, contrast is enhanced;Using adaptive impovement type gaussian filtering equation pair
The frequency fields of fingerprint image are smoothed, and obtained frequency fields can more reflect fingerprint texture characteristic;Believe using based on gray scale
The comprehensive distinguishing method of breath is split fingerprint image, and texture cannot accurately be obtained by directional information split plot design by, which overcoming, becomes
The problem of changing intense regions direction, can accurate rapidly extracting belong to the sub-block in actual fingerprint region;Basis in Gabor filter
The parametric texture given threshold of the sub-block for belonging to finger-print region passes through each sub-block for belonging to finger-print region and left and right neighborhood
The difference of the field of direction of two sub-blocks selects the value of Gaussian envelope constant compared with threshold value, can carry out to fingerprint image
Targetedly enhance, given threshold T in the present embodiment1=20 °, the efficiency of opening program improves 20%, and the safety is improved
25%.
Embodiment 3
Referring to Fig. 1, the present invention provides the methods of the unlatching application program co-melting with people, are reached using the method for fingerprint authentication
To the purpose co-melting with people, fingerprint recognition program and cipher key procedures are specifically included, the fingerprint recognition program includes successively being electrically connected
Fingerprint identification module, fingerprint image processing module, transmission module, fingerprint authentication module and the control for controlling closing application program connect
Molding block, the cipher key procedures are electrically connected with control module, and the fingerprint authentication module is inputting effective fingerprint image or close
Key program promotes control module to open application program after inputting proper password;The fingerprint image processing module includes:
(1) finger print information verifies submodule, acquires the temperature and pulse data for being detected tissue, and pass through analysis acquisition
Data come judge by fingerprint identification module transmit fingerprint image it is whether effective, if acquire for continuous 2 times or more be detected
The temperature and pulse data of tissue are all in preset range, then determine that the fingerprint image of fingerprint identification module transmission is effective;
(2) image grayscale handles submodule, for carrying out gray proces to effective fingerprint image, with pixel when processing
Centered on (x, y), calculate 3 × 3 neighborhoods in gray average M, intermediate value Z, due to acquisition the effective fingerprint image and and its
Can slightly have deviation between the fingerprint image of verifying in the same plane, set fingerprint image correction factor
The calculation formula of gray average M are as follows:
Treated grey scale pixel value are as follows:
When I (x, y) >=M, I'(x, y)=M+Z/2
When I (x, y) < M, I'(x, y)=M-Z/2
Wherein, I (x, y) is original gray value of the fingerprint image at pixel (x, y), I'(x, y) for after gray proces
Gray value of the fingerprint image at pixel (x, y),For the effective fingerprint image and the fingerprint image verified with it
Each pixel point value between standard deviation;
(3) image texture parameter computation module uses adaptive impovement type gaussian filtering equation to gray proces mistake
The field of direction of fingerprint image be smoothed, when processing, fingerprint image is resolved into do not overlap, the sub-block that size is,
The coordinate of each central point of sub-block is (m, n), the adaptive impovement type gaussian filtering equation are as follows:
Wherein, d (m, n) is the distance from central point (m, n) to frequency plane origin;σ is filtering factor, indicates Gaussian function
σ=0.6 is arranged in the more smooth position of the fingerprint ridge line and valley line of sub-block, in the fingerprint ridge line of sub-block in several smoothness
It is broken with valley line and σ=5 is arranged in fuzzy position.
Preferably, the fingerprint image processing module further include:
(1) image segmentation submodule, in each sub-block rapidly extracting belong to the sub-block in actual fingerprint region, extract
When, by gray average M (k, l) and variance D (k, l) through image grayscale treated each sub-block (k, l) and fingerprint image institute
There is the gray average M of pixel0With variance D0It is compared, if M (k, l) > M0And D (k, l) > D0, then the sub-block belongs to actual fingerprint
The sub-block in region;
(2) image enhancement submodule uses Gabor filter to carry out image increasing to the sub-block for belonging to actual fingerprint region
Strength reason, is arranged δxWith δyGaussian envelope constant respectively in the function of Gabor filter in x-axis and y-axis direction calculates
Each belong to the difference c of the sub-block of finger-print region and the field of direction of two sub-blocks of left and right neighborhood0, c1, belong to fingerprint region according to described
The value range of parametric texture the given threshold T1, the threshold value T1 of the sub-block in domain are 10 °~20 °, Gaussian envelope constant δxWith δy
Value are as follows:
c0< T1And c1< T1When, δx=4, δy=4;
c0> T2And c1> T2When, δx=5, δy=5;
Other situations, δx=4.5, δy=4.5.
Further, described to further include and finger print information verification submodule electricity with the co-melting unlatching application program of people method
The buzzer siren of connection, if finger print information verifies the temperature and arteries and veins of continuous 2 times or more the detected tissues acquired in submodule
When data of fighting all are not in preset range, the buzzer siren is alarmed.
The method safety of the unlatching application program co-melting with people of the present embodiment is efficient, wherein the setting of cipher key procedures, it can
With help user finger injuries or other promote to open application by the password of oneself setting in the obsolete situation of finger
Program;The setting of buzzer siren improves the safety of the method for the unlatching application program co-melting with people;Setting, which can enhance, to be referred to
The fingerprint recognition program of print image, wherein handling fingerprint image gray scale, treated, and fingerprint image being capable of wiping out background
Noise, and texture will not obscure in filtering, contrast is enhanced;Using adaptive impovement type gaussian filtering equation pair
The frequency fields of fingerprint image are smoothed, and obtained frequency fields can more reflect fingerprint texture characteristic;Believe using based on gray scale
The comprehensive distinguishing method of breath is split fingerprint image, and texture cannot accurately be obtained by directional information split plot design by, which overcoming, becomes
The problem of changing intense regions direction, can accurate rapidly extracting belong to the sub-block in actual fingerprint region;Basis in Gabor filter
The parametric texture given threshold of the sub-block for belonging to finger-print region passes through each sub-block for belonging to finger-print region and left and right neighborhood
The difference of the field of direction of two sub-blocks selects the value of Gaussian envelope constant compared with threshold value, can carry out to fingerprint image
Targetedly enhance, given threshold T in the present embodiment1=15 °, the efficiency of opening program improves 18%, and the safety is improved
20%.
Embodiment 4
Referring to Fig. 1, the present invention provides the methods of the unlatching application program co-melting with people, are reached using the method for fingerprint authentication
To the purpose co-melting with people, fingerprint recognition program and cipher key procedures are specifically included, the fingerprint recognition program includes successively being electrically connected
Fingerprint identification module, fingerprint image processing module, transmission module, fingerprint authentication module and the control for controlling closing application program connect
Molding block, the cipher key procedures are electrically connected with control module, and the fingerprint authentication module is inputting effective fingerprint image or close
Key program promotes control module to open application program after inputting proper password;The fingerprint image processing module includes:
(1) finger print information verifies submodule, acquires the temperature and pulse data for being detected tissue, and pass through analysis acquisition
Data come judge by fingerprint identification module transmit fingerprint image it is whether effective, if acquire for continuous 2 times or more be detected
The temperature and pulse data of tissue are all in preset range, then determine that the fingerprint image of fingerprint identification module transmission is effective;
(2) image grayscale handles submodule, for carrying out gray proces to effective fingerprint image, with pixel when processing
Centered on (x, y), calculate 3 × 3 neighborhoods in gray average M, intermediate value Z, due to acquisition the effective fingerprint image and and its
Can slightly have deviation between the fingerprint image of verifying in the same plane, set fingerprint image correction factor
The calculation formula of gray average M are as follows:
Treated grey scale pixel value are as follows:
When I (x, y) >=M, I'(x, y)=M+Z/2
When I (x, y) < M, I'(x, y)=M-Z/2
Wherein, I (x, y) is original gray value of the fingerprint image at pixel (x, y), I'(x, y) for after gray proces
Gray value of the fingerprint image at pixel (x, y),For the effective fingerprint image and the fingerprint image verified with it
Each pixel point value between standard deviation;
(3) image texture parameter computation module uses adaptive impovement type gaussian filtering equation to gray proces mistake
The field of direction of fingerprint image be smoothed, when processing, fingerprint image is resolved into do not overlap, the sub-block that size is,
The coordinate of each central point of sub-block is (m, n), the adaptive impovement type gaussian filtering equation are as follows:
Wherein, d (m, n) is the distance from central point (m, n) to frequency plane origin;σ is filtering factor, indicates Gaussian function
σ=0.6 is arranged in the more smooth position of the fingerprint ridge line and valley line of sub-block, in the fingerprint ridge line of sub-block in several smoothness
It is broken with valley line and σ=5 is arranged in fuzzy position.
Preferably, the fingerprint image processing module further include:
(1) image segmentation submodule, in each sub-block rapidly extracting belong to the sub-block in actual fingerprint region, extract
When, by gray average M (k, l) and variance D (k, l) through image grayscale treated each sub-block (k, l) and fingerprint image institute
There is the gray average M of pixel0With variance D0It is compared, if M (k, l) > M0And D (k, l) > D0, then the sub-block belongs to actual fingerprint
The sub-block in region;
(2) image enhancement submodule uses Gabor filter to carry out image increasing to the sub-block for belonging to actual fingerprint region
Strength reason, is arranged δxWith δyGaussian envelope constant respectively in the function of Gabor filter in x-axis and y-axis direction calculates
Each belong to the difference c of the sub-block of finger-print region and the field of direction of two sub-blocks of left and right neighborhood0, c1, belong to fingerprint region according to described
The parametric texture given threshold T of the sub-block in domain1, the value range of the threshold value T1 is 10 °~20 °, Gaussian envelope constant δxWith δy
Value are as follows:
c0< T1And c1< T1When, δx=4, δy=4;
c0> T2And c1> T2When, δx=5, δy=5;
Other situations, δx=4.5, δy=4.5.
Further, described to further include and finger print information verification submodule electricity with the co-melting unlatching application program of people method
The buzzer siren of connection, if finger print information verifies the temperature and arteries and veins of continuous 2 times or more the detected tissues acquired in submodule
When data of fighting all are not in preset range, the buzzer siren is alarmed.
The method safety of the unlatching application program co-melting with people of the present embodiment is efficient, wherein the setting of cipher key procedures, it can
With help user finger injuries or other promote to open application by the password of oneself setting in the obsolete situation of finger
Program;The setting of buzzer siren improves the safety of the method for the unlatching application program co-melting with people;Setting, which can enhance, to be referred to
The fingerprint recognition program of print image, wherein handling fingerprint image gray scale, treated, and fingerprint image being capable of wiping out background
Noise, and texture will not obscure in filtering, contrast is enhanced;Using adaptive impovement type gaussian filtering equation pair
The frequency fields of fingerprint image are smoothed, and obtained frequency fields can more reflect fingerprint texture characteristic;Believe using based on gray scale
The comprehensive distinguishing method of breath is split fingerprint image, and texture cannot accurately be obtained by directional information split plot design by, which overcoming, becomes
The problem of changing intense regions direction, can accurate rapidly extracting belong to the sub-block in actual fingerprint region;Basis in Gabor filter
The parametric texture given threshold of the sub-block for belonging to finger-print region passes through each sub-block for belonging to finger-print region and left and right neighborhood
The difference of the field of direction of two sub-blocks selects the value of Gaussian envelope constant compared with threshold value, can carry out to fingerprint image
Targetedly enhance, given threshold T in the present embodiment1=18 °, the efficiency of opening program improves 20%, and the safety is improved
18%.
Embodiment 5
Referring to Fig. 1, the present invention provides the methods of the unlatching application program co-melting with people, are reached using the method for fingerprint authentication
To the purpose co-melting with people, fingerprint recognition program and cipher key procedures are specifically included, the fingerprint recognition program includes successively being electrically connected
Fingerprint identification module, fingerprint image processing module, transmission module, fingerprint authentication module and the control for controlling closing application program connect
Molding block, the cipher key procedures are electrically connected with control module, and the fingerprint authentication module is inputting effective fingerprint image or close
Key program promotes control module to open application program after inputting proper password;The fingerprint image processing module includes:
(1) finger print information verifies submodule, acquires the temperature and pulse data for being detected tissue, and pass through analysis acquisition
Data come judge by fingerprint identification module transmit fingerprint image it is whether effective, if acquire for continuous 2 times or more be detected
The temperature and pulse data of tissue are all in preset range, then determine that the fingerprint image of fingerprint identification module transmission is effective;
(2) image grayscale handles submodule, for carrying out gray proces to effective fingerprint image, with pixel when processing
Centered on (x, y), calculate 3 × 3 neighborhoods in gray average M, intermediate value Z, due to acquisition the effective fingerprint image and and its
Can slightly have deviation between the fingerprint image of verifying in the same plane, set fingerprint image correction factor
The calculation formula of gray average M are as follows:
Treated grey scale pixel value are as follows:
When I (x, y) >=M, I'(x, y)=M+Z/2
When I (x, y) < M, I'(x, y)=M-Z/2
Wherein, I (x, y) is original gray value of the fingerprint image at pixel (x, y), I'(x, y) for after gray proces
Gray value of the fingerprint image at pixel (x, y),For the effective fingerprint image and the fingerprint image verified with it
Each pixel point value between standard deviation;
(3) image texture parameter computation module uses adaptive impovement type gaussian filtering equation to gray proces mistake
The field of direction of fingerprint image be smoothed, when processing, fingerprint image is resolved into do not overlap, the sub-block that size is,
The coordinate of each central point of sub-block is (m, n), the adaptive impovement type gaussian filtering equation are as follows:
Wherein, d (m, n) is the distance from central point (m, n) to frequency plane origin;σ is filtering factor, indicates Gaussian function
σ=0.6 is arranged in the more smooth position of the fingerprint ridge line and valley line of sub-block, in the fingerprint ridge line of sub-block in several smoothness
It is broken with valley line and σ=5 is arranged in fuzzy position.
Preferably, the fingerprint image processing module further include:
(1) image segmentation submodule, in each sub-block rapidly extracting belong to the sub-block in actual fingerprint region, extract
When, by gray average M (k, l) and variance D (k, l) through image grayscale treated each sub-block (k, l) and fingerprint image institute
There is the gray average M of pixel0With variance D0It is compared, if M (k, l) > M0And D (k, l) > D0, then the sub-block belongs to actual fingerprint
The sub-block in region;
(2) image enhancement submodule uses Gabor filter to carry out image increasing to the sub-block for belonging to actual fingerprint region
Strength reason, is arranged δxWith δyGaussian envelope constant respectively in the function of Gabor filter in x-axis and y-axis direction calculates
Each belong to the difference c of the sub-block of finger-print region and the field of direction of two sub-blocks of left and right neighborhood0, c1, belong to fingerprint region according to described
The parametric texture given threshold T of the sub-block in domain1, the value range of the threshold value T1 is 10 °~20 °, Gaussian envelope constant δxWith δy
Value are as follows:
c0< T1And c1< T1When, δx=4, δy=4;
c0> T2And c1> T2When, δx=5, δy=5;
Other situations, δx=4.5, δy=4.5.
Further, described to further include and finger print information verification submodule electricity with the co-melting unlatching application program of people method
The buzzer siren of connection, if finger print information verifies the temperature and arteries and veins of continuous 2 times or more the detected tissues acquired in submodule
When data of fighting all are not in preset range, the buzzer siren is alarmed.
The method safety of the unlatching application program co-melting with people of the present embodiment is efficient, wherein the setting of cipher key procedures, it can
With help user finger injuries or other promote to open application by the password of oneself setting in the obsolete situation of finger
Program;The setting of buzzer siren improves the safety of the method for the unlatching application program co-melting with people;Setting, which can enhance, to be referred to
The fingerprint recognition program of print image, wherein handling fingerprint image gray scale, treated, and fingerprint image being capable of wiping out background
Noise, and texture will not obscure in filtering, contrast is enhanced;Using adaptive impovement type gaussian filtering equation pair
The frequency fields of fingerprint image are smoothed, and obtained frequency fields can more reflect fingerprint texture characteristic;Believe using based on gray scale
The comprehensive distinguishing method of breath is split fingerprint image, and texture cannot accurately be obtained by directional information split plot design by, which overcoming, becomes
The problem of changing intense regions direction, can accurate rapidly extracting belong to the sub-block in actual fingerprint region;Basis in Gabor filter
The parametric texture given threshold of the sub-block for belonging to finger-print region passes through each sub-block for belonging to finger-print region and left and right neighborhood
The difference of the field of direction of two sub-blocks selects the value of Gaussian envelope constant compared with threshold value, can carry out to fingerprint image
Targetedly enhance, given threshold T in the present embodiment1=12 °, the efficiency of opening program improves 10%, and the safety is improved
18%.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (3)
1. the method with the co-melting unlatching application program of people, characterized in that reach co-melting with people using the method for fingerprint authentication
Purpose, specifically includes fingerprint recognition program and cipher key procedures, and the fingerprint recognition program includes the fingerprint recognition being sequentially connected electrically
Module, fingerprint image processing module, transmission module, fingerprint authentication module and the control module for controlling closing application program, it is described
Cipher key procedures are electrically connected with control module, and the fingerprint authentication module is being inputted in the effective fingerprint image of input or cipher key procedures
Control module is promoted to open application program after proper password;The fingerprint image processing module includes:
(1) finger print information verifies submodule, acquires the temperature and pulse data for being detected tissue, and pass through the number of analysis acquisition
According to come judge by fingerprint identification module transmit fingerprint image it is whether effective, if the detected tissue acquired for continuous 2 times or more
Temperature and pulse data be all in preset range, then determine fingerprint identification module transmission fingerprint image it is effective;
(2) image grayscale handles submodule, for carrying out gray proces to effective fingerprint image, when processing with pixel (x,
Y) centered on, gray average M, intermediate value Z in 3 × 3 neighborhoods is calculated, is verified due to the effective fingerprint image of acquisition and with it
Fingerprint image between can slightly have deviation in the same plane, set fingerprint image correction factorGray scale
The calculation formula of mean value M are as follows:
Treated grey scale pixel value are as follows:
When I (x, y) >=M, I'(x, y)=M+Z/2
When I (x, y) < M, I'(x, y)=M-Z/2
Wherein, I (x, y) be original gray value of the fingerprint image at pixel (x, y), I'(x, y) be gray proces after finger
Gray value of the print image at pixel (x, y),For the effective fingerprint image and each with its fingerprint image verified
Standard deviation between pixel point value;
(3) image texture parameter computation module, the finger for using adaptive impovement type gaussian filtering equation to cross gray proces
The field of direction of print image is smoothed, when processing, fingerprint image is resolved into do not overlap, the sub-block that size is 8 × 8,
The coordinate of each central point of sub-block is (m, n), the adaptive impovement type gaussian filtering equation are as follows:
Wherein, d (m, n) is the distance from central point (m, n) to frequency plane origin;σ is filtering factor, indicates Gaussian function
σ=0.6, fingerprint ridge line and paddy in sub-block is arranged in the more smooth position of the fingerprint ridge line and valley line of sub-block in smoothness
σ=5 are arranged in thread breakage and fuzzy position.
2. the according to claim 1 and co-melting unlatching application program of people method, characterized in that at the fingerprint image
Manage module further include:
(1) image segmentation submodule, in each sub-block rapidly extracting belong to the sub-block in actual fingerprint region, will when extraction
Gray average M (k, l) and variance D (k, l) and fingerprint image all pixels through image grayscale treated each sub-block (k, l)
Gray average M0With variance D0It is compared, if M (k, l) > M0And D (k, l) > D0, then the sub-block belongs to actual fingerprint region
Sub-block;
(2) image enhancement submodule uses Gabor filter to carry out at image enhancement the sub-block for belonging to actual fingerprint region
δ is arranged in reasonxWith δyGaussian envelope constant respectively in the function of Gabor filter in x-axis and y-axis direction calculates each
Belong to the difference c of the sub-block of finger-print region and the field of direction of two sub-blocks of left and right neighborhood0, c1, according to the finger-print region of belonging to
The parametric texture given threshold T of sub-block1, the value range of the threshold value T1 is 10 °~20 °, Gaussian envelope constant δxWith δyTake
Value are as follows:
c0< T1And c1< T1When, δx=4, δy=4;
c0> T2And c1> T2When, δx=5, δy=5;
Other situations, δx=4.5, δy=4.5.
3. the according to claim 1 and co-melting unlatching application program of people method, characterized in that further include and fingerprint is believed
Breath verifies the buzzer siren of submodule electrical connection, if finger print information verifies being detected of acquiring for continuous 2 times or more in submodule
When the temperature and pulse data of tissue are all not in preset range, the buzzer siren is alarmed.
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CN104331654A (en) * | 2014-10-27 | 2015-02-04 | 深圳市汇顶科技股份有限公司 | Biometric feature recognition-based operating method and device |
CN104933335A (en) * | 2014-03-21 | 2015-09-23 | 三星电子株式会社 | System And Method For Executing File By Using Biometric Information |
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CN104933335A (en) * | 2014-03-21 | 2015-09-23 | 三星电子株式会社 | System And Method For Executing File By Using Biometric Information |
CN103886239A (en) * | 2014-03-31 | 2014-06-25 | 深圳市欧珀通信软件有限公司 | User authentication method and device of mobile terminal application program |
CN104077518A (en) * | 2014-07-03 | 2014-10-01 | 南昌欧菲生物识别技术有限公司 | Device and method for unlocking and executing application |
CN104331654A (en) * | 2014-10-27 | 2015-02-04 | 深圳市汇顶科技股份有限公司 | Biometric feature recognition-based operating method and device |
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