CN105931322A - Central air conditioning system with identity recognition function - Google Patents

Abstract

The invention discloses a central air conditioning system with an identity recognition function. The central air conditioning system comprises a central air conditioning system provided with an electronic lock, a fingerprint recognition apparatus for driving the electronic lock to open, and a secret key apparatus. The fingerprint recognition apparatus comprises a fingerprint recognition module, a fingerprint image processing module, a transmission module, a fingerprint verification module, and a control module for opening/closing the electronic lock, wherein the modules mentioned above are electrically connected in sequence. The secret key apparatus is electrically connected to the control module. The fingerprint verification module can promote the control module to open the electronic lock, after an effective fingerprint image is input or a correct cipher is input into the secret key apparatus. The fingerprint image processing module comprises a fingerprint information verification sub-module, an image grey level processing sub-module, an image texture parameter calculating sub-module, an image cutting sub-module, and an image enhancing sub-module. The central air conditioning system is safe and efficient, the fingerprint recognition efficiency is high, and the precision is high.

Description

There is the central air conditioner system of identity recognition function

Technical field

The present invention relates to field of central air-conditioning, be specifically related to the central air conditioner system with identity recognition function.

Background technology

In correlation technique, the central air conditioner system level of security using fingerprint recognition is higher, but requires the highest to finger, dry hands 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 central air conditioner system safely and efficiently with identity recognition function.

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

Providing the central air conditioner system with identity recognition function, it includes being provided with the central air conditioner system of electronic lock, driving electricity The son fingerprint identification device opened of lock and key device, fingerprint identification module that described fingerprint identification device includes being sequentially connected electrically, The control module that fingerprint image processing module, transport module, fingerprint authentication module and control electronic lock are closed, described key device Electrically connecting with control module, described fingerprint authentication module inputs effective fingerprint image or key device after input proper password Control module is promoted to open electronic lock；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 central air conditioner system described in identity recognition function also includes that examining submodule with finger print information electrically connects Buzzer siren, if finger print information examines the temperature of detected tissue and pulse data that in submodule, continuous more than 2 times gather When being all not in preset range, described buzzer siren is reported to the police.

The invention have the benefit that

1, safe and efficient, the fingerprint identification device 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 security performance of the central air conditioner system with identity recognition function；

3, the setting of key device, can help the central air conditioner system user with identity recognition function finger injuries or its He opens central air conditioner system by the password arranged in the case of promoting finger obsolete himself.

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 central air conditioner system with identity recognition function, they central authorities including being provided with electronic lock Air conditioning system, driving the fingerprint identification device opened of electronic lock and key device, described fingerprint identification device includes being sequentially connected electrically Fingerprint identification module, the control mould closed of fingerprint image processing module, transport module, fingerprint authentication module and control electronic lock Block, described key device electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or key device Control module is promoted to open electronic lock after input 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 central air conditioner system described in identity recognition function also includes that examining submodule with finger print information electrically connects Buzzer siren, if finger print information examines the temperature of detected tissue and pulse data that in submodule, continuous more than 2 times gather When being all not in preset range, described buzzer siren is reported to the police.

The central air conditioner system with identity recognition function of the present embodiment is safe and efficient, wherein, the setting of key device, permissible Help to have the central air conditioner system user of identity recognition function finger injuries or other promote finger obsolete in the case of logical Cross the password oneself arranged and open central air conditioner system；The setting of buzzer siren, improves the central authorities with identity recognition function The security performance of air conditioning system；Setting can strengthen the fingerprint identification device of fingerprint image, wherein processes fingerprint image gray scale, Fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopt Being smoothed the frequency fields of fingerprint image with adaptive impovement type gaussian filtering equation, the frequency fields obtained more can reflect and refers to Stricture of vagina texture features；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, overcome dependence directional information The problem that split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction belongs to actual fingerprint region Sub-block；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold value, belongs to finger by each The difference of the field of direction of two sub-blocks of the sub-block in stricture of vagina region and left and right neighborhood selects taking of Gaussian envelope constant with the comparison of threshold value Value, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=10 °, the efficiency of fingerprint recognition carries High by 15%, precision improves 20%.

Embodiment 2

See Fig. 1, the invention provides the central air conditioner system with identity recognition function, it central hollow including being provided with electronic lock Adjusting system, driving the fingerprint identification device opened of electronic lock and key device, described fingerprint identification device includes being sequentially connected electrically The control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and control electronic lock are closed, Described key device electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or key device defeated Control module is promoted to open electronic lock after entering proper password；Described fingerprint image processing module includes:

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

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

Grey scale pixel value after process is:

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

I (x, y) during ＜ M, I'(x, y)=M-Z/2

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

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

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

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

Preferably, described fingerprint image processing module also includes:

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

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

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the central air conditioner system described in identity recognition function also includes that examining submodule with finger print information electrically connects Buzzer siren, if finger print information examines the temperature of detected tissue and pulse data that in submodule, continuous more than 2 times gather When being all not in preset range, described buzzer siren is reported to the police.

The central air conditioner system with identity recognition function of the present embodiment is safe and efficient, wherein, the setting of key device, permissible Help to have the central air conditioner system user of identity recognition function finger injuries or other promote finger obsolete in the case of logical Cross the password oneself arranged and open central air conditioner system；The setting of buzzer siren, improves the central authorities with identity recognition function The security performance of air conditioning system；Setting can strengthen the fingerprint identification device of fingerprint image, wherein processes fingerprint image gray scale, Fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopt Being smoothed the frequency fields of fingerprint image with adaptive impovement type gaussian filtering equation, the frequency fields obtained more can reflect and refers to Stricture of vagina texture features；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, overcome dependence directional information The problem that split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction belongs to actual fingerprint region Sub-block；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold value, belongs to finger by each The difference of the field of direction of two sub-blocks of the sub-block in stricture of vagina region and left and right neighborhood selects taking of Gaussian envelope constant with the comparison of threshold value Value, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=20 °, the efficiency of fingerprint recognition carries High by 20%, precision improves 25%.

Embodiment 3

See Fig. 1, the invention provides the central air conditioner system with identity recognition function, it central hollow including being provided with electronic lock Adjusting system, driving the fingerprint identification device opened of electronic lock and key device, described fingerprint identification device includes being sequentially connected electrically The control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and control electronic lock are closed, Described key device electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or key device defeated Control module is promoted to open electronic lock after entering proper password；Described fingerprint image processing module includes:

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

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

Grey scale pixel value after process is:

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

I (x, y) during ＜ M, I'(x, y)=M-Z/2

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

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

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

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

Preferably, described fingerprint image processing module also includes:

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

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

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the central air conditioner system described in identity recognition function also includes that examining submodule with finger print information electrically connects Buzzer siren, if finger print information examines the temperature of detected tissue and pulse data that in submodule, continuous more than 2 times gather When being all not in preset range, described buzzer siren is reported to the police.

The central air conditioner system with identity recognition function of the present embodiment is safe and efficient, wherein, the setting of key device, permissible Help to have the central air conditioner system user of identity recognition function finger injuries or other promote finger obsolete in the case of logical Cross the password oneself arranged and open central air conditioner system；The setting of buzzer siren, improves the central authorities with identity recognition function The security performance of air conditioning system；Setting can strengthen the fingerprint identification device of fingerprint image, wherein processes fingerprint image gray scale, Fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopt Being smoothed the frequency fields of fingerprint image with adaptive impovement type gaussian filtering equation, the frequency fields obtained more can reflect and refers to Stricture of vagina texture features；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, overcome dependence directional information The problem that split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction belongs to actual fingerprint region Sub-block；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold value, belongs to finger by each The difference of the field of direction of two sub-blocks of the sub-block in stricture of vagina region and left and right neighborhood selects taking of Gaussian envelope constant with the comparison of threshold value Value, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=15 °, the efficiency of fingerprint recognition carries High by 18%, precision improves 20%.

Embodiment 4

See Fig. 1, the invention provides the central air conditioner system with identity recognition function, it central hollow including being provided with electronic lock Adjusting system, driving the fingerprint identification device opened of electronic lock and key device, described fingerprint identification device includes being sequentially connected electrically The control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and control electronic lock are closed, Described key device electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or key device defeated Control module is promoted to open electronic lock after entering proper password；Described fingerprint image processing module includes:

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

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

Grey scale pixel value after process is:

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

I (x, y) during ＜ M, I'(x, y)=M-Z/2

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

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

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

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

Preferably, described fingerprint image processing module also includes:

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

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

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the central air conditioner system described in identity recognition function also includes that examining submodule with finger print information electrically connects Buzzer siren, if finger print information examines the temperature of detected tissue and pulse data that in submodule, continuous more than 2 times gather When being all not in preset range, described buzzer siren is reported to the police.

The central air conditioner system with identity recognition function of the present embodiment is safe and efficient, wherein, the setting of key device, permissible Help to have the central air conditioner system user of identity recognition function finger injuries or other promote finger obsolete in the case of logical Cross the password oneself arranged and open central air conditioner system；The setting of buzzer siren, improves the central authorities with identity recognition function The security performance of air conditioning system；Setting can strengthen the fingerprint identification device of fingerprint image, wherein processes fingerprint image gray scale, Fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopt Being smoothed the frequency fields of fingerprint image with adaptive impovement type gaussian filtering equation, the frequency fields obtained more can reflect and refers to Stricture of vagina texture features；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, overcome dependence directional information The problem that split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction belongs to actual fingerprint region Sub-block；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold value, belongs to finger by each The difference of the field of direction of two sub-blocks of the sub-block in stricture of vagina region and left and right neighborhood selects taking of Gaussian envelope constant with the comparison of threshold value Value, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=18 °, the efficiency of fingerprint recognition carries High by 20%, precision improves 18%.

Embodiment 5

See Fig. 1, the invention provides the central air conditioner system with identity recognition function, it central hollow including being provided with electronic lock Adjusting system, driving the fingerprint identification device opened of electronic lock and key device, described fingerprint identification device includes being sequentially connected electrically The control module that fingerprint identification module, fingerprint image processing module, transport module, fingerprint authentication module and control electronic lock are closed, Described key device electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or key device defeated Control module is promoted to open electronic lock after entering proper password；Described fingerprint image processing module includes:

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

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

Grey scale pixel value after process is:

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

I (x, y) during ＜ M, I'(x, y)=M-Z/2

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

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

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

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

Preferably, described fingerprint image processing module also includes:

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

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

c₀＜ T₁And c₁＜ T₁Time, δ_x=4, δ_y=4；

c₀＞ T₂And c₁＞ T₂Time, δ_x=5, δ_y=5；

Other situations, δ_x=4.5, δ_y=4.5.

Further, the central air conditioner system described in identity recognition function also includes that examining submodule with finger print information electrically connects Buzzer siren, if finger print information examines the temperature of detected tissue and pulse data that in submodule, continuous more than 2 times gather When being all not in preset range, described buzzer siren is reported to the police.

The central air conditioner system with identity recognition function of the present embodiment is safe and efficient, wherein, the setting of key device, permissible Help to have the central air conditioner system user of identity recognition function finger injuries or other promote finger obsolete in the case of logical Cross the password oneself arranged and open central air conditioner system；The setting of buzzer siren, improves the central authorities with identity recognition function The security performance of air conditioning system；Setting can strengthen the fingerprint identification device of fingerprint image, wherein processes fingerprint image gray scale, Fingerprint image after process can wiping out background noise, and texture will not obscure in filtering, and contrast is strengthened；Adopt Being smoothed the frequency fields of fingerprint image with adaptive impovement type gaussian filtering equation, the frequency fields obtained more can reflect and refers to Stricture of vagina texture features；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, overcome dependence directional information The problem that split-run can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction belongs to actual fingerprint region Sub-block；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold value, belongs to finger by each The difference of the field of direction of two sub-blocks of the sub-block in stricture of vagina region and left and right neighborhood selects taking of Gaussian envelope constant with the comparison of threshold value Value, it is possible to strengthen fingerprint image targetedly, sets threshold value T in the present embodiment₁=12 °, the efficiency of fingerprint recognition carries High by 10%, precision 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. there is the central air conditioner system of identity recognition function, it is characterized in that, including being provided with the central air conditioner system of electronic lock, driving electricity The son fingerprint identification device opened of lock and key device, fingerprint identification module that described fingerprint identification device includes being sequentially connected electrically, The control module that fingerprint image processing module, transport module, fingerprint authentication module and control electronic lock are closed, described key device Electrically connecting with control module, described fingerprint authentication module inputs effective fingerprint image or key device after input proper password Control module is promoted to open electronic lock；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 central air conditioner system with identity recognition function the most according to claim 1, is characterized in that, described fingerprint image processes 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.

The central air conditioner system with identity recognition function the most according to claim 1, is characterized in that, also includes and finger print information Examine the buzzer siren of submodule electrical connection, if finger print information examines the detected tissue that in submodule, continuous more than 2 times gather Temperature and pulse data when being all not in preset range, described buzzer siren is reported to the police.