CN105788048A - Electronic lock system achieving recognition through fingerprints - Google Patents

Abstract

The invention discloses an electronic lock system achieving recognition through fingerprints.The electronic lock system comprises an electronic lock, a fingerprint recognition device used for driving the electronic lock to be unlocked and a secret key device; the fingerprint recognition device comprises a fingerprint recognition module, a fingerprint image processing module, a transmission module, a fingerprint verification module and a control module which are sequentially and electrically connected, wherein the control module is used for controlling the electronic lock to be locked; the secret key device is electrically connected with the control module, and the fingerprint verification module is used for enabling the control module to unlock the electronic lock after an effective fingerprint image is input or correct passwords are input through the secret key device; the fingerprint image processing module comprises a fingerprint information verification submodule, an image gray scale processing submodule, an image texture parameter calculating submodule, an image segmentation submodule and an image enhancement submodule.The electronic lock system is safe, efficient and high in fingerprint recognition efficiency and precision.

Description

By the electronic lock system that fingerprint is identified

Technical field

The present invention relates to key field, be specifically related to the electronic lock system being identified by fingerprint.

Background technology

In correlation technique, the electronic lock system level of security adopting fingerprint identification device is higher, but requires also higher to finger, 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 electronic lock system being identified safely and efficiently by fingerprint.

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

Provide the electronic lock system being identified by fingerprint, it includes electronic lock, drives the fingerprint identification device opened of electronic lock and key device, the control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control electronic lock that described fingerprint identification device includes being sequentially connected electrically is closed, described key device electrically connects with controlling module, and described fingerprint authentication module promotes to control module after input proper password at the effective fingerprint image of input or key device and opens electronic lock；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and judge that whether the fingerprint image transmitted by fingerprint identification module is effective by analyzing the data gathered, if the temperature of the detected tissue that continuous more than 2 times gather 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, with pixel (x during process, y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and and its fingerprint image verified between in approximately the same plane can slightly deviation, set fingerprint image correction factorThe computing formula of gray 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, I (x, y) for fingerprint image pixel (x, y) original gray value at place, I'(x, y) for the fingerprint image after gray proces pixel (x, y) gray value at place,For described effective fingerprint image and and each pixel point value of its fingerprint image verified between standard deviation；

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

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

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 the smoothness of Gaussian function, and the position that fingerprint ridge line and the valley line in sub-block comparatively smooths arranges σ=0.6, arranges σ=5 in the fingerprint ridge line of sub-block and valley line fracture and fuzzy position.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, the sub-block in actual fingerprint region is belonged to for rapid extraction in each sub-block, during extraction, by each sub-block (k after gradation of image processes, l) gray average M (k, l) (k, l) with the gray average M of all pixels of fingerprint image with variance D₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to the sub-block in actual fingerprint region；

(2) image enhaucament submodule, it adopts Gabor filter that the sub-block belonging to actual fingerprint region is carried out image enhancement processing, arranges δ_xWith δ_yThe respectively Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates the difference c of each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood₀, c₁, set threshold value T according to the parametric texture of the described sub-block belonging to finger-print region₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_yValue be:

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 electronic lock system being identified by fingerprint also includes examining the buzzer siren that submodule electrically connects with finger print information, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data is all not in preset range, described buzzer siren is reported to the police.

The invention have the benefit that

1, safe and efficient, arrange and can strengthen the fingerprint identification device of fingerprint image, wherein fingerprint image gray scale is processed, the fingerprint image after process can filter out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopting adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, the frequency fields obtained more can reflect fingerprint texture characteristic；Adopt the 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 belongs 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, the value of Gaussian envelope constant is selected by the difference of the field of direction of each sub-block belonging to finger-print region and two sub-blocks of left and right neighborhood and the comparison of threshold value, fingerprint image can be strengthened targetedly, improve efficiency and the precision of fingerprint recognition；

2, the setting of buzzer siren, improves the security performance of the electronic lock system being identified by fingerprint；

3, the setting of key device, it is possible to help the electronic lock system user being identified by fingerprint finger injuries or other promote to open electronic lock by the password of oneself setting in the obsolete situation of finger.

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, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to the following drawings.

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

Referring to Fig. 1, the invention provides the electronic lock system being identified by fingerprint, it includes electronic lock, drives the fingerprint identification device opened of electronic lock and key device, the control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control electronic lock that described fingerprint identification device includes being sequentially connected electrically is closed, described key device electrically connects with controlling module, and described fingerprint authentication module promotes to control module after input proper password at the effective fingerprint image of input or key device and opens electronic lock；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and judge that whether the fingerprint image transmitted by fingerprint identification module is effective by analyzing the data gathered, if the temperature of the detected tissue that continuous more than 2 times gather 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, with pixel (x during process, y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and and its fingerprint image verified between in approximately the same plane can slightly deviation, set fingerprint image correction factorThe computing formula of gray 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, I (x, y) for fingerprint image pixel (x, y) original gray value at place, I'(x, y) for the fingerprint image after gray proces pixel (x, y) gray value at place,For described effective fingerprint image and and each pixel point value of its fingerprint image verified between standard deviation.

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

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

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 the smoothness of Gaussian function, and the position that fingerprint ridge line and the valley line in sub-block comparatively smooths arranges σ=0.6, arranges σ=5 in the fingerprint ridge line of sub-block and valley line fracture and fuzzy position；

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, the sub-block in actual fingerprint region is belonged to for rapid extraction in each sub-block, during extraction, by each sub-block (k after gradation of image processes, l) gray average M (k, l) (k, l) with the gray average M of all pixels of fingerprint image with variance D₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to the sub-block in actual fingerprint region；

(2) image enhaucament submodule, it adopts Gabor filter that the sub-block belonging to actual fingerprint region is carried out image enhancement processing, arranges δ_xWith δ_yThe respectively Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates the difference c of each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood₀, c₁, set threshold value T according to the parametric texture of the described sub-block belonging to finger-print region₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_yValue be:

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 electronic lock system being identified by fingerprint also includes examining the buzzer siren that submodule electrically connects with finger print information, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data is all not in preset range, described buzzer siren is reported to the police.

The electronic lock system being identified by fingerprint of the present embodiment is safe and efficient, wherein, the setting of key device, it is possible to help the electronic lock system user being identified by fingerprint finger injuries or other promote to open electronic lock by the password of oneself setting in the obsolete situation of finger；The setting of buzzer siren, improves the security performance of the electronic lock system being identified by fingerprint；Setting can strengthen the fingerprint identification device of fingerprint image, wherein fingerprint image gray scale is processed, the fingerprint image after process can filter out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopting adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, the frequency fields obtained more can reflect fingerprint texture characteristic；Adopt the 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 belongs 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, the value of Gaussian envelope constant is selected by the difference of the field of direction of each sub-block belonging to finger-print region and two sub-blocks of left and right neighborhood and the comparison of threshold value, fingerprint image can be strengthened targetedly, the present embodiment sets threshold value T₁=10 °, the efficiency of fingerprint recognition improves 15%, and precision improves 20%.

Embodiment 2

Referring to Fig. 1, the invention provides the electronic lock system being identified by fingerprint, it includes electronic lock, drives the fingerprint identification device opened of electronic lock and key device, the control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control electronic lock that described fingerprint identification device includes being sequentially connected electrically is closed, described key device electrically connects with controlling module, and described fingerprint authentication module promotes to control module after input proper password at the effective fingerprint image of input or key device and opens electronic lock；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and judge that whether the fingerprint image transmitted by fingerprint identification module is effective by analyzing the data gathered, if the temperature of the detected tissue that continuous more than 2 times gather 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, with pixel (x during process, y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and and its fingerprint image verified between in approximately the same plane can slightly deviation, set fingerprint image correction factorThe computing formula of gray 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, I (x, y) for fingerprint image pixel (x, y) original gray value at place, I'(x, y) for the fingerprint image after gray proces pixel (x, y) gray value at place,For described effective fingerprint image and and each pixel point value of its fingerprint image verified between standard deviation；

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

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

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 the smoothness of Gaussian function, and the position that fingerprint ridge line and the valley line in sub-block comparatively smooths arranges σ=0.6, arranges σ=5 in the fingerprint ridge line of sub-block and valley line fracture and fuzzy position.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, the sub-block in actual fingerprint region is belonged to for rapid extraction in each sub-block, during extraction, by each sub-block (k after gradation of image processes, l) gray average M (k, l) (k, l) with the gray average M of all pixels of fingerprint image with variance D₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to the sub-block in actual fingerprint region；

(2) image enhaucament submodule, it adopts Gabor filter that the sub-block belonging to actual fingerprint region is carried out image enhancement processing, arranges δ_xWith δ_yThe respectively Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates the difference c of each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood₀, c₁, set threshold value T according to the parametric texture of the described sub-block belonging to finger-print region₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_yValue be:

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 electronic lock system being identified by fingerprint also includes examining the buzzer siren that submodule electrically connects with finger print information, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data is all not in preset range, described buzzer siren is reported to the police.

The electronic lock system being identified by fingerprint of the present embodiment is safe and efficient, wherein, the setting of key device, it is possible to help the electronic lock system user being identified by fingerprint finger injuries or other promote to open electronic lock by the password of oneself setting in the obsolete situation of finger；The setting of buzzer siren, improves the security performance of the electronic lock system being identified by fingerprint；Setting can strengthen the fingerprint identification device of fingerprint image, wherein fingerprint image gray scale is processed, the fingerprint image after process can filter out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopting adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, the frequency fields obtained more can reflect fingerprint texture characteristic；Adopt the 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 belongs 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, the value of Gaussian envelope constant is selected by the difference of the field of direction of each sub-block belonging to finger-print region and two sub-blocks of left and right neighborhood and the comparison of threshold value, fingerprint image can be strengthened targetedly, the present embodiment sets threshold value T₁=20 °, the efficiency of fingerprint recognition improves 20%, and precision improves 25%.

Embodiment 3

Referring to Fig. 1, the invention provides the electronic lock system being identified by fingerprint, it includes electronic lock, drives the fingerprint identification device opened of electronic lock and key device, the control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control electronic lock that described fingerprint identification device includes being sequentially connected electrically is closed, described key device electrically connects with controlling module, and described fingerprint authentication module promotes to control module after input proper password at the effective fingerprint image of input or key device and opens electronic lock；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and judge that whether the fingerprint image transmitted by fingerprint identification module is effective by analyzing the data gathered, if the temperature of the detected tissue that continuous more than 2 times gather 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, with pixel (x during process, y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and and its fingerprint image verified between in approximately the same plane can slightly deviation, set fingerprint image correction factorThe computing formula of gray 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, I (x, y) for fingerprint image pixel (x, y) original gray value at place, I'(x, y) for the fingerprint image after gray proces pixel (x, y) gray value at place,For described effective fingerprint image and and each pixel point value of its fingerprint image verified between standard deviation；

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

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

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 the smoothness of Gaussian function, and the position that fingerprint ridge line and the valley line in sub-block comparatively smooths arranges σ=0.6, arranges σ=5 in the fingerprint ridge line of sub-block and valley line fracture and fuzzy position.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, the sub-block in actual fingerprint region is belonged to for rapid extraction in each sub-block, during extraction, by each sub-block (k after gradation of image processes, l) gray average M (k, l) (k, l) with the gray average M of all pixels of fingerprint image with variance D₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to the sub-block in actual fingerprint region；

(2) image enhaucament submodule, it adopts Gabor filter that the sub-block belonging to actual fingerprint region is carried out image enhancement processing, arranges δ_xWith δ_yThe respectively Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates the difference c of each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood₀, c₁, set threshold value T according to the parametric texture of the described sub-block belonging to finger-print region₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_yValue be:

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 electronic lock system being identified by fingerprint also includes examining the buzzer siren that submodule electrically connects with finger print information, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data is all not in preset range, described buzzer siren is reported to the police.

The electronic lock system being identified by fingerprint of the present embodiment is safe and efficient, wherein, the setting of key device, it is possible to help the electronic lock system user being identified by fingerprint finger injuries or other promote to open electronic lock by the password of oneself setting in the obsolete situation of finger；The setting of buzzer siren, improves the security performance of the electronic lock system being identified by fingerprint；Setting can strengthen the fingerprint identification device of fingerprint image, wherein fingerprint image gray scale is processed, the fingerprint image after process can filter out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopting adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, the frequency fields obtained more can reflect fingerprint texture characteristic；Adopt the 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 belongs 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, the value of Gaussian envelope constant is selected by the difference of the field of direction of each sub-block belonging to finger-print region and two sub-blocks of left and right neighborhood and the comparison of threshold value, fingerprint image can be strengthened targetedly, the present embodiment sets threshold value T₁=15 °, the efficiency of fingerprint recognition improves 18%, and precision improves 20%.

Embodiment 4

Referring to Fig. 1, the invention provides the electronic lock system being identified by fingerprint, it includes electronic lock, drives the fingerprint identification device opened of electronic lock and key device, the control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control electronic lock that described fingerprint identification device includes being sequentially connected electrically is closed, described key device electrically connects with controlling module, and described fingerprint authentication module promotes to control module after input proper password at the effective fingerprint image of input or key device and opens electronic lock；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and judge that whether the fingerprint image transmitted by fingerprint identification module is effective by analyzing the data gathered, if the temperature of the detected tissue that continuous more than 2 times gather 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, with pixel (x during process, y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and and its fingerprint image verified between in approximately the same plane can slightly deviation, set fingerprint image correction factorThe computing formula of gray 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, I (x, y) for fingerprint image pixel (x, y) original gray value at place, I'(x, y) for the fingerprint image after gray proces pixel (x, y) gray value at place,For described effective fingerprint image and and each pixel point value of its fingerprint image verified between standard deviation；

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

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

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 the smoothness of Gaussian function, and the position that fingerprint ridge line and the valley line in sub-block comparatively smooths arranges σ=0.6, arranges σ=5 in the fingerprint ridge line of sub-block and valley line fracture and fuzzy position.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, the sub-block in actual fingerprint region is belonged to for rapid extraction in each sub-block, during extraction, by each sub-block (k after gradation of image processes, l) gray average M (k, l) (k, l) with the gray average M of all pixels of fingerprint image with variance D₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to the sub-block in actual fingerprint region；

(2) image enhaucament submodule, it adopts Gabor filter that the sub-block belonging to actual fingerprint region is carried out image enhancement processing, arranges δ_xWith δ_yThe respectively Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates the difference c of each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood₀, c₁, set threshold value T according to the parametric texture of the described sub-block belonging to finger-print region₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_yValue be:

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 electronic lock system being identified by fingerprint also includes examining the buzzer siren that submodule electrically connects with finger print information, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data is all not in preset range, described buzzer siren is reported to the police.

The electronic lock system being identified by fingerprint of the present embodiment is safe and efficient, wherein, the setting of key device, it is possible to help the electronic lock system user being identified by fingerprint finger injuries or other promote to open electronic lock by the password of oneself setting in the obsolete situation of finger；The setting of buzzer siren, improves the security performance of the electronic lock system being identified by fingerprint；Setting can strengthen the fingerprint identification device of fingerprint image, wherein fingerprint image gray scale is processed, the fingerprint image after process can filter out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopting adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, the frequency fields obtained more can reflect fingerprint texture characteristic；Adopt the 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 belongs 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, the value of Gaussian envelope constant is selected by the difference of the field of direction of each sub-block belonging to finger-print region and two sub-blocks of left and right neighborhood and the comparison of threshold value, fingerprint image can be strengthened targetedly, the present embodiment sets threshold value T₁=18 °, the efficiency of fingerprint recognition improves 20%, and precision improves 18%.

Embodiment 5

Referring to Fig. 1, the invention provides the electronic lock system being identified by fingerprint, it includes electronic lock, drives the fingerprint identification device opened of electronic lock and key device, the control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control electronic lock that described fingerprint identification device includes being sequentially connected electrically is closed, described key device electrically connects with controlling module, and described fingerprint authentication module promotes to control module after input proper password at the effective fingerprint image of input or key device and opens electronic lock；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and judge that whether the fingerprint image transmitted by fingerprint identification module is effective by analyzing the data gathered, if the temperature of the detected tissue that continuous more than 2 times gather 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, with pixel (x during process, y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and and its fingerprint image verified between in approximately the same plane can slightly deviation, set fingerprint image correction factorThe computing formula of gray 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, I (x, y) for fingerprint image pixel (x, y) original gray value at place, I'(x, y) for the fingerprint image after gray proces pixel (x, y) gray value at place,For described effective fingerprint image and and each pixel point value of its fingerprint image verified between standard deviation；

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

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

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 the smoothness of Gaussian function, and the position that fingerprint ridge line and the valley line in sub-block comparatively smooths arranges σ=0.6, arranges σ=5 in the fingerprint ridge line of sub-block and valley line fracture and fuzzy position.

Preferably, described fingerprint image processing module also includes:

(1) image segmentation submodule, the sub-block in actual fingerprint region is belonged to for rapid extraction in each sub-block, during extraction, by each sub-block (k after gradation of image processes, l) gray average M (k, l) (k, l) with the gray average M of all pixels of fingerprint image with variance D₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to the sub-block in actual fingerprint region；

(2) image enhaucament submodule, it adopts Gabor filter that the sub-block belonging to actual fingerprint region is carried out image enhancement processing, arranges δ_xWith δ_yThe respectively Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates the difference c of each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood₀, c₁, set threshold value T according to the parametric texture of the described sub-block belonging to finger-print region₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_yValue be:

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 electronic lock system being identified by fingerprint also includes examining the buzzer siren that submodule electrically connects with finger print information, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data is all not in preset range, described buzzer siren is reported to the police.

The electronic lock system being identified by fingerprint of the present embodiment is safe and efficient, wherein, the setting of key device, it is possible to help the electronic lock system user being identified by fingerprint finger injuries or other promote to open electronic lock by the password of oneself setting in the obsolete situation of finger；The setting of buzzer siren, improves the security performance of the electronic lock system being identified by fingerprint；Setting can strengthen the fingerprint identification device of fingerprint image, wherein fingerprint image gray scale is processed, the fingerprint image after process can filter out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopting adaptive impovement type gaussian filtering equation that the frequency fields of fingerprint image is smoothed, the frequency fields obtained more can reflect fingerprint texture characteristic；Adopt the 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 belongs 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, the value of Gaussian envelope constant is selected by the difference of the field of direction of each sub-block belonging to finger-print region and two sub-blocks of left and right neighborhood and the comparison of threshold value, fingerprint image can be strengthened targetedly, the present embodiment sets threshold value T₁=12 °, the efficiency of fingerprint recognition improves 10%, and precision improves 18%.

Finally should be noted that; above example is only in order to illustrate technical scheme; but not limiting the scope of the invention; 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 replacement, without deviating from the spirit and scope of technical solution of the present invention.

Claims (3)

1. the electronic lock system being identified by fingerprint, it is characterized in that, the fingerprint identification device opened including electronic lock, driving electronic lock and key device, the control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and the control electronic lock that described fingerprint identification device includes being sequentially connected electrically is closed, described key device electrically connects with controlling module, and described fingerprint authentication module promotes to control module after input proper password at the effective fingerprint image of input or key device and opens electronic lock；Described fingerprint image processing module includes:

(1) finger print information examines submodule, its temperature gathering detected tissue and pulse data, and judge that whether the fingerprint image transmitted by fingerprint identification module is effective by analyzing the data gathered, if the temperature of the detected tissue that continuous more than 2 times gather 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, with pixel (x during process, y) centered by, calculate gray average M, intermediate value Z in 3 × 3 neighborhoods, due to the described effective fingerprint image obtained and and its fingerprint image verified between in approximately the same plane can slightly deviation, set fingerprint image correction factorThe computing formula of gray 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, I (x, y) for fingerprint image pixel (x, y) original gray value at place, I'(x, y) for the fingerprint image after gray proces pixel (x, y) gray value at place,For described effective fingerprint image and and each pixel point value of its fingerprint image verified between standard deviation；

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

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 the smoothness of Gaussian function, and the position that fingerprint ridge line and the valley line in sub-block comparatively smooths arranges σ=0.6, arranges σ=5 in the fingerprint ridge line of sub-block and valley line fracture and fuzzy position.

2. the electronic lock system being identified by fingerprint according to claim 1, be is characterized in that, described fingerprint image processing module also includes:

(1) image segmentation submodule, the sub-block in actual fingerprint region is belonged to for rapid extraction in each sub-block, during extraction, by each sub-block (k after gradation of image processes, l) gray average M (k, l) (k, l) with the gray average M of all pixels of fingerprint image with variance D₀With variance D₀Compare, if M is (k, l) > M₀And D (k, l) > D₀, then this sub-block belongs to the sub-block in actual fingerprint region；

(2) image enhaucament submodule, it adopts Gabor filter that the sub-block belonging to actual fingerprint region is carried out image enhancement processing, arranges δ_xWith δ_yThe respectively Gaussian envelope constant in x-axis and y-axis direction in the function of Gabor filter, calculates the difference c of each sub-block belonging to finger-print region and the field of direction of two sub-blocks of left and right neighborhood₀, c₁, set threshold value T according to the parametric texture of the described sub-block belonging to finger-print region₁, the span of described threshold value T1 is 10 °～20 °, Gaussian envelope constant δ_xWith δ_yValue be:

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.

3. the electronic lock system being identified by fingerprint according to claim 1, it is characterized in that, also include examining the buzzer siren that submodule electrically connects with finger print information, if finger print information examines the temperature of detected tissue that in submodule, continuous more than 2 times gather and pulse data is all not in preset range, described buzzer siren is reported to the police.