CN105913027A - Data transmission method with high safety - Google Patents

Abstract

The invention discloses a data transmission method with high safety. A fingerprint verification method is utilized for realizing a purpose of safe transmission. Particularly, the data transmission method comprises a fingerprint identification program and a key program. The fingerprint identification program comprises a fingerprint identification module, a fingerprint image processing module, a transmission module, a fingerprint verification module, and a control module for starting a data transmission program, wherein the fingerprint identification module, the fingerprint image processing module, the transmission module, the fingerprint verification module and the control module are successively connected electrically. The key program is electrically connected with the control module. The fingerprint verification module makes the control module start the data transmission program after an effective fingerprint image is input or a correct password is input into the key program. The fingerprint image processing module comprises a fingerprint information verification sub-module, an image gray scale processing sub-module, an image texture parameter computing sub-module, an image dividing sub-module and an image reinforcing sub-module. The data transmission method has advantages of high starting speed of the data transmission program, and high safety.

Description

The data transmission method that safety is high

Technical field

The present invention relates to information security field, be specifically related to the data transmission method that a kind of safety is high.

Background technology

In correlation technique, use fingerprint recognition turn-on data transmission procedure level of security 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 the data transmission method that a kind of safety is high.

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

Provide the data transmission method that a kind of safety is high, use the method for fingerprint authentication to reach the purpose of safe transmission, specifically Including fingerprint recognition program and cipher key procedures, described fingerprint recognition program includes fingerprint identification module, the fingerprint image being sequentially connected electrically The control module closed as processing module, transport module, fingerprint authentication module and control data distributing 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 data distributing 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 data transmission method that described safety is high also includes examining the buzzing report that submodule electrically connects with finger print information Alert device, if finger print information examines the temperature of the detected tissue that continuous more than 2 times gather in submodule and pulse data is all not at Time 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 data transmission；

3, the setting of cipher key procedures, may help to user finger injuries or other promote finger obsolete in the case of by from Data distributing 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 the data transmission method that safety is high, use the method for fingerprint authentication to reach safe transmission Purpose, specifically include fingerprint recognition program and cipher key procedures, state the fingerprint recognition mould that fingerprint recognition program includes being sequentially connected electrically The control module that block, fingerprint image processing module, transport module, fingerprint authentication module and control data distributing program are closed, institute Stating cipher key procedures to electrically connect with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures in input Control module is promoted to open data distributing program after 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 data transmission method that described safety is high also includes examining the buzzing report that submodule electrically connects with finger print information Alert device, if finger print information examines the temperature of the detected tissue that continuous more than 2 times gather in submodule and pulse data is all not at Time in preset range, described buzzer siren is reported to the police.

The data transmission method that the safety of the present embodiment is high is safe and efficient, wherein, the setting of cipher key procedures, may help to use Person finger injuries or other promote finger obsolete in the case of by oneself arrange password open data distributing program；Buzzing The setting of alarm, improves the safety of data transmission；Setting can strengthen the fingerprint recognition program of fingerprint image, wherein to finger Print image gray scale processes, the fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, Contrast is strengthened；Use adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, obtain Frequency fields more can reflect fingerprint texture characteristic；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, Overcome the problem relying on directional information split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction Belong to the sub-block in actual fingerprint region；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold Value, by the difference of the field of direction and relatively the selecting of threshold value of each two sub-blocks of sub-block and left and right neighborhood belonging to finger-print region The value of Gaussian envelope constant, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=10 °, The efficiency of turn-on data transmission procedure improves 15%, and safety improves 20%.

Embodiment 2

See Fig. 1, the invention provides the data transmission method that safety is high, use the method for fingerprint authentication to reach safe transmission Purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint recognition mould being sequentially connected electrically The control module that block, fingerprint image processing module, transport module, fingerprint authentication module and control data distributing program are closed, institute Stating cipher key procedures to electrically connect with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures in input Control module is promoted to open data distributing program after 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 data transmission method that described safety is high also includes examining the buzzing report that submodule electrically connects with finger print information Alert device, if finger print information examines the temperature of the detected tissue that continuous more than 2 times gather in submodule and pulse data is all not at Time in preset range, described buzzer siren is reported to the police.

The data transmission method that the safety of the present embodiment is high is safe and efficient, wherein, the setting of cipher key procedures, may help to use Person finger injuries or other promote finger obsolete in the case of by oneself arrange password open data distributing program；Buzzing The setting of alarm, improves the safety of data transmission；Setting can strengthen the fingerprint recognition program of fingerprint image, wherein to finger Print image gray scale processes, the fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, Contrast is strengthened；Use adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, obtain Frequency fields more can reflect fingerprint texture characteristic；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, Overcome the problem relying on directional information split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction Belong to the sub-block in actual fingerprint region；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold Value, by the difference of the field of direction and relatively the selecting of threshold value of each two sub-blocks of sub-block and left and right neighborhood belonging to finger-print region The value of Gaussian envelope constant, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=20 °, The efficiency of turn-on data transmission procedure improves 20%, and safety improves 25%.

Embodiment 3

See Fig. 1, the invention provides the data transmission method that safety is high, use the method for fingerprint authentication to reach safe transmission Purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint recognition mould being sequentially connected electrically The control module that block, fingerprint image processing module, transport module, fingerprint authentication module and control data distributing program are closed, institute Stating cipher key procedures to electrically connect with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures in input Control module is promoted to open data distributing program after 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 data transmission method that described safety is high also includes examining the buzzing report that submodule electrically connects with finger print information Alert device, if finger print information examines the temperature of the detected tissue that continuous more than 2 times gather in submodule and pulse data is all not at Time in preset range, described buzzer siren is reported to the police.

The data transmission method that the safety of the present embodiment is high is safe and efficient, wherein, the setting of cipher key procedures, may help to use Person finger injuries or other promote finger obsolete in the case of by oneself arrange password open data distributing program；Buzzing The setting of alarm, improves the safety of data transmission；Setting can strengthen the fingerprint recognition program of fingerprint image, wherein to finger Print image gray scale processes, the fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, Contrast is strengthened；Use adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, obtain Frequency fields more can reflect fingerprint texture characteristic；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, Overcome the problem relying on directional information split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction Belong to the sub-block in actual fingerprint region；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold Value, by the difference of the field of direction and relatively the selecting of threshold value of each two sub-blocks of sub-block and left and right neighborhood belonging to finger-print region The value of Gaussian envelope constant, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=15 °, The efficiency of turn-on data transmission procedure improves 18%, and safety improves 20%.

Embodiment 4

See Fig. 1, the invention provides the data transmission method that safety is high, use the method for fingerprint authentication to reach safe transmission Purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint recognition mould being sequentially connected electrically The control module that block, fingerprint image processing module, transport module, fingerprint authentication module and control data distributing program are closed, institute Stating cipher key procedures to electrically connect with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures in input Control module is promoted to open data distributing program after 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 data transmission method that described safety is high also includes examining the buzzing report that submodule electrically connects with finger print information Alert device, if finger print information examines the temperature of the detected tissue that continuous more than 2 times gather in submodule and pulse data is all not at Time in preset range, described buzzer siren is reported to the police.

The data transmission method that the safety of the present embodiment is high is safe and efficient, wherein, the setting of cipher key procedures, may help to use Person finger injuries or other promote finger obsolete in the case of by oneself arrange password open data distributing program；Buzzing The setting of alarm, improves the safety of data transmission；Setting can strengthen the fingerprint recognition program of fingerprint image, wherein to finger Print image gray scale processes, the fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, Contrast is strengthened；Use adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, obtain Frequency fields more can reflect fingerprint texture characteristic；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, Overcome the problem relying on directional information split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction Belong to the sub-block in actual fingerprint region；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold Value, by the difference of the field of direction and relatively the selecting of threshold value of each two sub-blocks of sub-block and left and right neighborhood belonging to finger-print region The value of Gaussian envelope constant, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=18 °, The efficiency of turn-on data transmission procedure improves 20%, and safety improves 18%.

Embodiment 5

See Fig. 1, the invention provides the data transmission method that safety is high, use the method for fingerprint authentication to reach safe transmission Purpose, specifically includes fingerprint recognition program and cipher key procedures, and described fingerprint recognition program includes the fingerprint recognition mould being sequentially connected electrically The control module that block, fingerprint image processing module, transport module, fingerprint authentication module and control data distributing program are closed, institute Stating cipher key procedures to electrically connect with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures in input Control module is promoted to open data distributing program after 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 data transmission method that described safety is high also includes examining the buzzing report that submodule electrically connects with finger print information Alert device, if finger print information examines the temperature of the detected tissue that continuous more than 2 times gather in submodule and pulse data is all not at Time in preset range, described buzzer siren is reported to the police.

The data transmission method that the safety of the present embodiment is high is safe and efficient, wherein, the setting of cipher key procedures, may help to use Person finger injuries or other promote finger obsolete in the case of by oneself arrange password open data distributing program；Buzzing The setting of alarm, improves the safety of data transmission；Setting can strengthen the fingerprint recognition program of fingerprint image, wherein to finger Print image gray scale processes, the fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, Contrast is strengthened；Use adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, obtain Frequency fields more can reflect fingerprint texture characteristic；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, Overcome the problem relying on directional information split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction Belong to the sub-block in actual fingerprint region；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold Value, by the difference of the field of direction and relatively the selecting of threshold value of each two sub-blocks of sub-block and left and right neighborhood belonging to finger-print region The value of Gaussian envelope constant, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=12 °, The efficiency of turn-on data transmission procedure 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 data transmission method that safety is high, is characterized in that, uses the method for fingerprint authentication to reach the purpose of safe transmission, specifically wraps Including fingerprint recognition program and cipher key procedures, described fingerprint recognition program includes fingerprint identification module, the fingerprint image being sequentially connected electrically The control module that processing module, transport module, fingerprint authentication module and control data distributing program are closed, described cipher key procedures with Control module electrically connects, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures rush after input proper password Control module is made to open data distributing 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 data transmission method that safety the most according to claim 1 is high, is characterized in that, described fingerprint image processing module is also wrapped Include:

(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 data transmission method that safety the most according to claim 1 is high, is characterized in that, also includes examining submodule with finger print information Block electrical connection buzzer siren, if finger print information examine in submodule continuous more than 2 times gather detected tissue temperature and When pulse data is all not in preset range, described buzzer siren is reported to the police.