CN105912906A - Human-integrated method for starting application program - Google Patents

Abstract

The invention discloses a human-integrated method for starting an application program, wherein a method of fingerprint verification is adopted to reach a purpose of human integration. The method specifically comprises a fingerprint identification program and a secret key program, wherein the fingerprint identification program comprises a finger identification module, a fingerprint image processing module, a transmission module, a fingerprint verification module and a control module used to control starting of the application program, and all the modules are electrically connected in succession; the secret key program is electrically connected to the control module; the fingerprint verification module can promote the control module to start the application program after a valid fingerprint image is input or the secret key program inputs a correct password; and the fingerprint image processing module comprises a fingerprint information verification sub-module, an image gray processing sub-module, an image texture parameter calculation sub-module, an image division sub-module and an image intensification sub-module. The method disclosed by the invention is safe and efficient, can start the program quickly and has high safety.

Description

The method of opening application program co-melting with people

Technical field

The present invention relates to information security field, be specifically related to a kind of method of opening application program co-melting with people.

Background technology

In correlation technique, use fingerprint recognition unlatching application security rank higher, but finger is required the highest, dry finger, Wet finger, shallow texture finger recognition effect poor, recognition efficiency and accuracy of identification are relatively low.

Summary of the invention

For the problems referred to above, the present invention provides a kind of method opening application program co-melting with people safely and efficiently.

The purpose of the present invention realizes by the following technical solutions:

Providing a kind of method of opening application program co-melting with people, the method for employing fingerprint authentication reaches the purpose co-melting with people, Specifically including fingerprint recognition program and cipher key procedures, described fingerprint recognition program includes the fingerprint identification module being sequentially connected electrically, refers to Print image processing module, transport module, fingerprint authentication module and the control module of control closing application program, described cipher key procedures Electrically connecting with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures after input proper password Control module is promoted to open application program；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and the number gathered by analysis According to judging that the fingerprint image transmitted by fingerprint identification module is the most effective, if the detected tissue gathered for continuous more than 2 times Temperature and pulse data are all in preset range, then judge that the fingerprint image of fingerprint identification module transmission is effective；

(2) gradation of image processes submodule, for effective fingerprint image is carried out gray proces, during process with pixel (x, Y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and test with it In approximately the same plane, understand slightly deviation between the fingerprint image of card, set fingerprint image correction factorGray scale The computing formula of average M is:

Grey scale pixel value after process is:

I (x, y) >=M time, I'(x, y)=M+Z/2

I (x, y) during ＜ M, I'(x, y)=M-Z/2

Wherein, (x, being y) fingerprint image, (x, y) original gray value at place, I'(x y) are the finger after gray proces to I at pixel Print image pixel (x, y) gray value at place,For described effective fingerprint image and each picture of fingerprint image of verifying with it Standard deviation between vegetarian refreshments value；

(3) image texture parameter computation module, it uses the fingerprint that gray proces is crossed by adaptive impovement type gaussian filtering equation The field of direction of image is smoothed, and during process, fingerprint image resolves into non-overlapping copies, sub-block that size is, and sub-block is each The coordinate of central point be (m, n), described adaptive impovement type gaussian filtering equation is:

$G(m,n;\mathrm{\σ})=\frac{1}{2\mathrm{\π}\mathrm{\σ}}{e}^{-\frac{d^2(m,n)}{2{\mathrm{\σ}}^2}}$

Wherein, (m is n) that (m, n) to the distance of frequency plane initial point from central point to d；σ is filtering factor, represents Gaussian function Smoothness, the position that fingerprint ridge line and the valley line in sub-block more smooths arranges σ=0.6, in fingerprint ridge line and the paddy of sub-block Thread breakage and fuzzy position arrange σ=5.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, belongs to the sub-block in actual fingerprint region for rapid extraction in each sub-block, during extraction, and will (k, (k, l) (k, l) with all pixels of fingerprint image with variance D for gray average M l) for each sub-block after gradation of image processes Gray average M₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to actual fingerprint district The sub-block in territory；

(2) image enhaucament submodule, it uses Gabor filter to carry out the sub-block belonging to actual fingerprint region at image enhaucament Reason, arranges δ_xWith δ_yIt is respectively the Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates every The individual sub-block belonging to finger-print region and difference c of the field of direction of two sub-blocks of left and right neighborhood₀, c₁, belong to finger-print region according to described Sub-block parametric texture set threshold value T₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_y's Value is:

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the described method of opening application program co-melting with people also includes examining what submodule electrically connected with finger print information Buzzer siren, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data all When being not in preset range, described buzzer siren is reported to the police.

The invention have the benefit that

1, safe and efficient, the fingerprint recognition program that can strengthen fingerprint image is set, wherein fingerprint image gray scale is processed, place Fingerprint image after reason can wiping out background noise, and texture will not obscure in filtering, and contrast is strengthened；Use The frequency fields of fingerprint image is smoothed by adaptive impovement type gaussian filtering equation, and the frequency fields obtained more can reflect fingerprint Texture features；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, overcome dependence directional information and divide The problem that the method for cutting can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction belongs to the son in actual fingerprint region Block；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold value, belongs to fingerprint by each The difference of the field of direction of the sub-block in region and two sub-blocks of left and right neighborhood and the comparison of threshold value select the value of Gaussian envelope constant, Fingerprint image can be strengthened targetedly, improve efficiency and the precision of fingerprint recognition；

2, the setting of buzzer siren, improves the safety of the method for opening application program co-melting with people；

3, the setting of cipher key procedures, may help to user finger injuries or other promote finger obsolete in the case of by from Application program opened by the password that oneself is arranged.

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limitation of the invention, for Those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtains the attached of other according to the following drawings Figure.

The connection diagram of Fig. 1 component of the present invention.

Detailed description of the invention

The invention will be further described with the following Examples.

Embodiment 1

See Fig. 1, the invention provides co-melting with the people method opening application program, use the method for fingerprint authentication reach with The purpose that people is co-melting, specifically includes fingerprint recognition program and cipher key procedures, states the fingerprint that fingerprint recognition program includes being sequentially connected electrically Identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control module of control closing application program, Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated Control module is promoted to open application program after entering proper password；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and the number gathered by analysis According to judging that the fingerprint image transmitted by fingerprint identification module is the most effective, if the detected tissue gathered for continuous more than 2 times Temperature and pulse data are all in preset range, then judge that the fingerprint image of fingerprint identification module transmission is effective；

(2) gradation of image processes submodule, for effective fingerprint image is carried out gray proces, during process with pixel (x, Y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and test with it In approximately the same plane, understand slightly deviation between the fingerprint image of card, set fingerprint image correction factorGray scale The computing formula of average M is:

Grey scale pixel value after process is:

I (x, y) >=M time, I'(x, y)=M+Z/2

I (x, y) during ＜ M, I'(x, y)=M-Z/2

Wherein, (x, being y) fingerprint image, (x, y) original gray value at place, I'(x y) are the finger after gray proces to I at pixel Print image pixel (x, y) gray value at place,For described effective fingerprint image and each picture of fingerprint image of verifying with it Standard deviation between vegetarian refreshments value.

(3) image texture parameter computation module, it uses the fingerprint that gray proces is crossed by adaptive impovement type gaussian filtering equation The field of direction of image is smoothed, and during process, fingerprint image resolves into non-overlapping copies, sub-block that size is, and sub-block is each The coordinate of central point be (m, n), described adaptive impovement type gaussian filtering equation is:

$G(m,n;\mathrm{\σ})=\frac{1}{2\mathrm{\π}\mathrm{\σ}}{e}^{-\frac{d^2(m,n)}{2{\mathrm{\σ}}^2}}$

Wherein, (m is n) that (m, n) to the distance of frequency plane initial point from central point to d；σ is filtering factor, represents Gaussian function Smoothness, the position that fingerprint ridge line and the valley line in sub-block more smooths arranges σ=0.6, in fingerprint ridge line and the paddy of sub-block Thread breakage and fuzzy position arrange σ=5；

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, belongs to the sub-block in actual fingerprint region for rapid extraction in each sub-block, during extraction, and will (k, (k, l) (k, l) with all pixels of fingerprint image with variance D for gray average M l) for each sub-block after gradation of image processes Gray average M₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to actual fingerprint district The sub-block in territory；

(2) image enhaucament submodule, it uses Gabor filter to carry out the sub-block belonging to actual fingerprint region at image enhaucament Reason, arranges δ_xWith δ_yIt is respectively the Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates every The individual sub-block belonging to finger-print region and difference c of the field of direction of two sub-blocks of left and right neighborhood₀, c₁, belong to finger-print region according to described Sub-block parametric texture set threshold value T1, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_y's Value is:

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the described method of opening application program co-melting with people also includes examining what submodule electrically connected with finger print information Buzzer siren, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data all When being not in preset range, described buzzer siren is reported to the police.

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, Ke Yibang Help user finger injuries or other promote finger obsolete in the case of by oneself arrange password open application program；Honeybee The setting of ring alarm, improves the safety of the method for opening application program co-melting with people；Setting can strengthen fingerprint image Fingerprint recognition program, wherein processes fingerprint image gray scale, the fingerprint image after process can wiping out background noise, and In filtering, texture will not obscure, and contrast is strengthened；Use adaptive impovement type gaussian filtering equation to fingerprint image Frequency fields is smoothed, and the frequency fields obtained more can reflect fingerprint texture characteristic；Use comprehensive distinguishing based on half-tone information Fingerprint image is split by method, overcomes dependence directional information split-run and can not accurately obtain texture variations intense regions direction Problem, it is possible to accurately rapid extraction belongs to the sub-block in actual fingerprint region；Gabor filter belongs to finger print region described in basis The parametric texture of the sub-block in territory sets threshold value, by each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood The comparison of difference and threshold value select the value of Gaussian envelope constant, it is possible to fingerprint image is strengthened targetedly, this Embodiment sets threshold value T₁=10 °, the efficiency of opening program improves 15%, and safety improves 20%.

Embodiment 2

See Fig. 1, the invention provides the method for opening application program co-melting with people, use the method for fingerprint authentication to reach and people Co-melting purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint being sequentially connected electrically Identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control module of control closing application program, Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated Control module is promoted to open application program after entering proper password；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and the number gathered by analysis According to judging that the fingerprint image transmitted by fingerprint identification module is the most effective, if the detected tissue gathered for continuous more than 2 times Temperature and pulse data are all in preset range, then judge that the fingerprint image of fingerprint identification module transmission is effective；

(2) gradation of image processes submodule, for effective fingerprint image is carried out gray proces, during process with pixel (x, Y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and test with it In approximately the same plane, understand slightly deviation between the fingerprint image of card, set fingerprint image correction factorGray scale The computing formula of average M is:

Grey scale pixel value after process is:

I (x, y) >=M time, I'(x, y)=M+Z/2

I (x, y) during ＜ M, I'(x, y)=M-Z/2

Wherein, (x, being y) fingerprint image, (x, y) original gray value at place, I'(x y) are the finger after gray proces to I at pixel Print image pixel (x, y) gray value at place,For described effective fingerprint image and each picture of fingerprint image of verifying with it Standard deviation between vegetarian refreshments value；

(3) image texture parameter computation module, it uses the fingerprint that gray proces is crossed by adaptive impovement type gaussian filtering equation The field of direction of image is smoothed, and during process, fingerprint image resolves into non-overlapping copies, sub-block that size is, and sub-block is each The coordinate of central point be (m, n), described adaptive impovement type gaussian filtering equation is:

$G(m,n;\mathrm{\σ})=\frac{1}{2\mathrm{\π}\mathrm{\σ}}{e}^{-\frac{d^2(m,n)}{2{\mathrm{\σ}}^2}}$

Wherein, (m is n) that (m, n) to the distance of frequency plane initial point from central point to d；σ is filtering factor, represents Gaussian function Smoothness, the position that fingerprint ridge line and the valley line in sub-block more smooths arranges σ=0.6, in fingerprint ridge line and the paddy of sub-block Thread breakage and fuzzy position arrange σ=5.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, belongs to the sub-block in actual fingerprint region for rapid extraction in each sub-block, during extraction, and will (k, (k, l) (k, l) with all pixels of fingerprint image with variance D for gray average M l) for each sub-block after gradation of image processes Gray average M₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to actual fingerprint district The sub-block in territory；

(2) image enhaucament submodule, it uses Gabor filter to carry out the sub-block belonging to actual fingerprint region at image enhaucament Reason, arranges δ_xWith δ_yIt is respectively the Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates every The individual sub-block belonging to finger-print region and difference c of the field of direction of two sub-blocks of left and right neighborhood₀, c₁, belong to finger-print region according to described Sub-block parametric texture set threshold value T1, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_y's Value is:

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the described method of opening application program co-melting with people also includes examining what submodule electrically connected with finger print information Buzzer siren, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data all When being not in preset range, described buzzer siren is reported to the police.

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, Ke Yibang Help user finger injuries or other promote finger obsolete in the case of by oneself arrange password open application program；Honeybee The setting of ring alarm, improves the safety of the method for opening application program co-melting with people；Setting can strengthen fingerprint image Fingerprint recognition program, wherein processes fingerprint image gray scale, the fingerprint image after process can wiping out background noise, and In filtering, texture will not obscure, and contrast is strengthened；Use adaptive impovement type gaussian filtering equation to fingerprint image Frequency fields is smoothed, and the frequency fields obtained more can reflect fingerprint texture characteristic；Use comprehensive distinguishing based on half-tone information Fingerprint image is split by method, overcomes dependence directional information split-run and can not accurately obtain texture variations intense regions direction Problem, it is possible to accurately rapid extraction belongs to the sub-block in actual fingerprint region；Gabor filter belongs to finger print region described in basis The parametric texture of the sub-block in territory sets threshold value, by each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood The comparison of difference and threshold value select the value of Gaussian envelope constant, it is possible to fingerprint image is strengthened targetedly, this Embodiment sets threshold value T₁=20 °, the efficiency of opening program improves 20%, and safety improves 25%.

Embodiment 3

See Fig. 1, the invention provides the method for opening application program co-melting with people, use the method for fingerprint authentication to reach and people Co-melting purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint being sequentially connected electrically Identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control module of control closing application program, Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated Control module is promoted to open application program after entering proper password；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and the number gathered by analysis According to judging that the fingerprint image transmitted by fingerprint identification module is the most effective, if the detected tissue gathered for continuous more than 2 times Temperature and pulse data are all in preset range, then judge that the fingerprint image of fingerprint identification module transmission is effective；

(2) gradation of image processes submodule, for effective fingerprint image is carried out gray proces, during process with pixel (x, Y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and test with it In approximately the same plane, understand slightly deviation between the fingerprint image of card, set fingerprint image correction factorGray scale The computing formula of average M is:

Grey scale pixel value after process is:

I (x, y) >=M time, I'(x, y)=M+Z/2

I (x, y) during ＜ M, I'(x, y)=M-Z/2

Wherein, (x, being y) fingerprint image, (x, y) original gray value at place, I'(x y) are the finger after gray proces to I at pixel Print image pixel (x, y) gray value at place,For described effective fingerprint image and each picture of fingerprint image of verifying with it Standard deviation between vegetarian refreshments value；

(3) image texture parameter computation module, it uses the fingerprint that gray proces is crossed by adaptive impovement type gaussian filtering equation The field of direction of image is smoothed, and during process, fingerprint image resolves into non-overlapping copies, sub-block that size is, and sub-block is each The coordinate of central point be (m, n), described adaptive impovement type gaussian filtering equation is:

$G(m,n;\mathrm{\σ})=\frac{1}{2\mathrm{\π}\mathrm{\σ}}{e}^{-\frac{d^2(m,n)}{2{\mathrm{\σ}}^2}}$

Wherein, (m is n) that (m, n) to the distance of frequency plane initial point from central point to d；σ is filtering factor, represents Gaussian function Smoothness, the position that fingerprint ridge line and the valley line in sub-block more smooths arranges σ=0.6, in fingerprint ridge line and the paddy of sub-block Thread breakage and fuzzy position arrange σ=5.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, belongs to the sub-block in actual fingerprint region for rapid extraction in each sub-block, during extraction, and will (k, (k, l) (k, l) with all pixels of fingerprint image with variance D for gray average M l) for each sub-block after gradation of image processes Gray average M₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to actual fingerprint district The sub-block in territory；

(2) image enhaucament submodule, it uses Gabor filter to carry out the sub-block belonging to actual fingerprint region at image enhaucament Reason, arranges δ_xWith δ_yIt is respectively the Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates every The individual sub-block belonging to finger-print region and difference c of the field of direction of two sub-blocks of left and right neighborhood₀, c₁, belong to finger-print region according to described Sub-block parametric texture set threshold value T1, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_y's Value is:

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the described method of opening application program co-melting with people also includes examining what submodule electrically connected with finger print information Buzzer siren, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data all When being not in preset range, described buzzer siren is reported to the police.

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, Ke Yibang Help user finger injuries or other promote finger obsolete in the case of by oneself arrange password open application program；Honeybee The setting of ring alarm, improves the safety of the method for opening application program co-melting with people；Setting can strengthen fingerprint image Fingerprint recognition program, wherein processes fingerprint image gray scale, the fingerprint image after process can wiping out background noise, and In filtering, texture will not obscure, and contrast is strengthened；Use adaptive impovement type gaussian filtering equation to fingerprint image Frequency fields is smoothed, and the frequency fields obtained more can reflect fingerprint texture characteristic；Use comprehensive distinguishing based on half-tone information Fingerprint image is split by method, overcomes dependence directional information split-run and can not accurately obtain texture variations intense regions direction Problem, it is possible to accurately rapid extraction belongs to the sub-block in actual fingerprint region；Gabor filter belongs to finger print region described in basis The parametric texture of the sub-block in territory sets threshold value, by each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood The comparison of difference and threshold value select the value of Gaussian envelope constant, it is possible to fingerprint image is strengthened targetedly, this Embodiment sets threshold value T₁=15 °, the efficiency of opening program improves 18%, and safety improves 20%.

Embodiment 4

See Fig. 1, the invention provides the method for opening application program co-melting with people, use the method for fingerprint authentication to reach and people Co-melting purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint being sequentially connected electrically Identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control module of control closing application program, Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated Control module is promoted to open application program after entering proper password；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and the number gathered by analysis According to judging that the fingerprint image transmitted by fingerprint identification module is the most effective, if the detected tissue gathered for continuous more than 2 times Temperature and pulse data are all in preset range, then judge that the fingerprint image of fingerprint identification module transmission is effective；

(2) gradation of image processes submodule, for effective fingerprint image is carried out gray proces, during process with pixel (x, Y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and test with it In approximately the same plane, understand slightly deviation between the fingerprint image of card, set fingerprint image correction factorGray scale The computing formula of average M is:

Grey scale pixel value after process is:

I (x, y) >=M time, I'(x, y)=M+Z/2

I (x, y) during ＜ M, I'(x, y)=M-Z/2

Wherein, (x, being y) fingerprint image, (x, y) original gray value at place, I'(x y) are the finger after gray proces to I at pixel Print image pixel (x, y) gray value at place,For described effective fingerprint image and each picture of fingerprint image of verifying with it Standard deviation between vegetarian refreshments value；

(3) image texture parameter computation module, it uses the fingerprint that gray proces is crossed by adaptive impovement type gaussian filtering equation The field of direction of image is smoothed, and during process, fingerprint image resolves into non-overlapping copies, sub-block that size is, and sub-block is each The coordinate of central point be (m, n), described adaptive impovement type gaussian filtering equation is:

$G(m,n;\mathrm{\σ})=\frac{1}{2\mathrm{\π}\mathrm{\σ}}{e}^{-\frac{d^2(m,n)}{2{\mathrm{\σ}}^2}}$

Wherein, (m is n) that (m, n) to the distance of frequency plane initial point from central point to d；σ is filtering factor, represents Gaussian function Smoothness, the position that fingerprint ridge line and the valley line in sub-block more smooths arranges σ=0.6, in fingerprint ridge line and the paddy of sub-block Thread breakage and fuzzy position arrange σ=5.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, belongs to the sub-block in actual fingerprint region for rapid extraction in each sub-block, during extraction, and will (k, (k, l) (k, l) with all pixels of fingerprint image with variance D for gray average M l) for each sub-block after gradation of image processes Gray average M₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to actual fingerprint district The sub-block in territory；

(2) image enhaucament submodule, it uses Gabor filter to carry out the sub-block belonging to actual fingerprint region at image enhaucament Reason, arranges δ_xWith δ_yIt is respectively the Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates every The individual sub-block belonging to finger-print region and difference c of the field of direction of two sub-blocks of left and right neighborhood₀, c₁, belong to finger-print region according to described Sub-block parametric texture set threshold value T₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_y's Value is:

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the described method of opening application program co-melting with people also includes examining what submodule electrically connected with finger print information Buzzer siren, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data all When being not in preset range, described buzzer siren is reported to the police.

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, Ke Yibang Help user finger injuries or other promote finger obsolete in the case of by oneself arrange password open application program；Honeybee The setting of ring alarm, improves the safety of the method for opening application program co-melting with people；Setting can strengthen fingerprint image Fingerprint recognition program, wherein processes fingerprint image gray scale, the fingerprint image after process can wiping out background noise, and In filtering, texture will not obscure, and contrast is strengthened；Use adaptive impovement type gaussian filtering equation to fingerprint image Frequency fields is smoothed, and the frequency fields obtained more can reflect fingerprint texture characteristic；Use comprehensive distinguishing based on half-tone information Fingerprint image is split by method, overcomes dependence directional information split-run and can not accurately obtain texture variations intense regions direction Problem, it is possible to accurately rapid extraction belongs to the sub-block in actual fingerprint region；Gabor filter belongs to finger print region described in basis The parametric texture of the sub-block in territory sets threshold value, by each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood The comparison of difference and threshold value select the value of Gaussian envelope constant, it is possible to fingerprint image is strengthened targetedly, this Embodiment sets threshold value T₁=18 °, the efficiency of opening program improves 20%, and safety improves 18%.

Embodiment 5

See Fig. 1, the invention provides the method for opening application program co-melting with people, use the method for fingerprint authentication to reach and people Co-melting purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint being sequentially connected electrically Identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control module of control closing application program, Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated Control module is promoted to open application program after entering proper password；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and the number gathered by analysis According to judging that the fingerprint image transmitted by fingerprint identification module is the most effective, if the detected tissue gathered for continuous more than 2 times Temperature and pulse data are all in preset range, then judge that the fingerprint image of fingerprint identification module transmission is effective；

(2) gradation of image processes submodule, for effective fingerprint image is carried out gray proces, during process with pixel (x, Y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and test with it In approximately the same plane, understand slightly deviation between the fingerprint image of card, set fingerprint image correction factorGray scale The computing formula of average M is:

Grey scale pixel value after process is:

I (x, y) >=M time, I'(x, y)=M+Z/2

I (x, y) during ＜ M, I'(x, y)=M-Z/2

Wherein, (x, being y) fingerprint image, (x, y) original gray value at place, I'(x y) are the finger after gray proces to I at pixel Print image pixel (x, y) gray value at place,For described effective fingerprint image and each picture of fingerprint image of verifying with it Standard deviation between vegetarian refreshments value；

(3) image texture parameter computation module, it uses the fingerprint that gray proces is crossed by adaptive impovement type gaussian filtering equation The field of direction of image is smoothed, and during process, fingerprint image resolves into non-overlapping copies, sub-block that size is, and sub-block is each The coordinate of central point be (m, n), described adaptive impovement type gaussian filtering equation is:

$G(m,n;\mathrm{\σ})=\frac{1}{2\mathrm{\π}\mathrm{\σ}}{e}^{-\frac{d^2(m,n)}{2{\mathrm{\σ}}^2}}$

Wherein, (m is n) that (m, n) to the distance of frequency plane initial point from central point to d；σ is filtering factor, represents Gaussian function Smoothness, the position that fingerprint ridge line and the valley line in sub-block more smooths arranges σ=0.6, in fingerprint ridge line and the paddy of sub-block Thread breakage and fuzzy position arrange σ=5.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, belongs to the sub-block in actual fingerprint region for rapid extraction in each sub-block, during extraction, and will (k, (k, l) (k, l) with all pixels of fingerprint image with variance D for gray average M l) for each sub-block after gradation of image processes Gray average M₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to actual fingerprint district The sub-block in territory；

(2) image enhaucament submodule, it uses Gabor filter to carry out the sub-block belonging to actual fingerprint region at image enhaucament Reason, arranges δ_xWith δ_yIt is respectively the Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates every The individual sub-block belonging to finger-print region and difference c of the field of direction of two sub-blocks of left and right neighborhood₀, c₁, belong to finger-print region according to described Sub-block parametric texture set threshold value T₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_y's Value is:

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the described method of opening application program co-melting with people also includes examining what submodule electrically connected with finger print information Buzzer siren, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data all When being not in preset range, described buzzer siren is reported to the police.

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, Ke Yibang Help user finger injuries or other promote finger obsolete in the case of by oneself arrange password open application program；Honeybee The setting of ring alarm, improves the safety of the method for opening application program co-melting with people；Setting can strengthen fingerprint image Fingerprint recognition program, wherein processes fingerprint image gray scale, the fingerprint image after process can wiping out background noise, and In filtering, texture will not obscure, and contrast is strengthened；Use adaptive impovement type gaussian filtering equation to fingerprint image Frequency fields is smoothed, and the frequency fields obtained more can reflect fingerprint texture characteristic；Use comprehensive distinguishing based on half-tone information Fingerprint image is split by method, overcomes dependence directional information split-run and can not accurately obtain texture variations intense regions direction Problem, it is possible to accurately rapid extraction belongs to the sub-block in actual fingerprint region；Gabor filter belongs to finger print region described in basis The parametric texture of the sub-block in territory sets threshold value, by each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood The comparison of difference and threshold value select the value of Gaussian envelope constant, it is possible to fingerprint image is strengthened targetedly, this Embodiment sets threshold value T₁=12 °, the efficiency of opening program improves 10%, and safety improves 18%.

Last it should be noted that, above example is only in order to illustrate technical scheme, rather than to scope Restriction, although having made to explain to the present invention with reference to preferred embodiment, it will be understood by those within the art that, Technical scheme can be modified or equivalent, without deviating from the spirit and scope of technical solution of the present invention.

Claims (3)

1. the method for opening application program co-melting with people, is characterized in that, the method for employing fingerprint authentication reaches the purpose co-melting with people, Specifically including fingerprint recognition program and cipher key procedures, described fingerprint recognition program includes the fingerprint identification module being sequentially connected electrically, refers to Print image processing module, transport module, fingerprint authentication module and the control module of control closing application program, described cipher key procedures Electrically connecting with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures after input proper password Control module is promoted to open application program；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and the number gathered by analysis According to judging that the fingerprint image transmitted by fingerprint identification module is the most effective, if the detected tissue gathered for continuous more than 2 times Temperature and pulse data are all in preset range, then judge that the fingerprint image of fingerprint identification module transmission is effective；

(2) gradation of image processes submodule, for effective fingerprint image is carried out gray proces, during process with pixel (x, Y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and test with it In approximately the same plane, understand slightly deviation between the fingerprint image of card, set fingerprint image correction factorGray scale The computing formula of average M is:

Grey scale pixel value after process is:

I (x, y) >=M time, I'(x, y)=M+Z/2

I (x, y) during ＜ M, I'(x, y)=M-Z/2

Wherein, (x, being y) fingerprint image, (x, y) original gray value at place, I'(x y) are the finger after gray proces to I at pixel Print image pixel (x, y) gray value at place,For described effective fingerprint image and each picture of fingerprint image of verifying with it Standard deviation between vegetarian refreshments value；

(3) image texture parameter computation module, it uses the fingerprint that gray proces is crossed by adaptive impovement type gaussian filtering equation The field of direction of image is smoothed, and during process, fingerprint image resolves into non-overlapping copies, size is the sub-block of 8 × 8, son The coordinate of each central point of block be (m, n), described adaptive impovement type gaussian filtering equation is:

$G(m,n;\mathrm{\σ})=\frac{1}{2\mathrm{\π}\mathrm{\σ}}{e}^{-\frac{d^2(m,n)}{2{\mathrm{\σ}}^2}}$

Wherein, (m is n) that (m, n) to the distance of frequency plane initial point from central point to d；σ is filtering factor, represents Gaussian function Smoothness, the position that fingerprint ridge line and the valley line in sub-block more smooths arranges σ=0.6, in fingerprint ridge line and the paddy of sub-block Thread breakage and fuzzy position arrange σ=5.

The method of opening application program co-melting with people the most according to claim 1, is characterized in that, described fingerprint image processes mould Block also includes:

(1) image segmentation submodule, belongs to the sub-block in actual fingerprint region for rapid extraction in each sub-block, during extraction, and will (k, (k, l) (k, l) with all pixels of fingerprint image with variance D for gray average M l) for each sub-block after gradation of image processes Gray average M₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to actual fingerprint district The sub-block in territory；

(2) image enhaucament submodule, it uses Gabor filter to carry out the sub-block belonging to actual fingerprint region at image enhaucament Reason, arranges δ_xWith δ_yIt is respectively the Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates every The individual sub-block belonging to finger-print region and difference c of the field of direction of two sub-blocks of left and right neighborhood₀, c₁, belong to finger-print region according to described Sub-block parametric texture set threshold value T₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_y's Value is:

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

The method of opening application program co-melting with people the most according to claim 1, is characterized in that, also include and finger print information core The buzzer siren of real submodule electrical connection, if finger print information examines the detected tissue that in submodule, continuous more than 2 times gather When temperature and pulse data are all not in preset range, described buzzer siren is reported to the police.