CN105912955A - Movable storage equipment with identity authentication function - Google Patents
Movable storage equipment with identity authentication function Download PDFInfo
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- CN105912955A CN105912955A CN201610229030.9A CN201610229030A CN105912955A CN 105912955 A CN105912955 A CN 105912955A CN 201610229030 A CN201610229030 A CN 201610229030A CN 105912955 A CN105912955 A CN 105912955A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/70—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer
- G06F21/78—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure storage of data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- Computer Security & Cryptography (AREA)
- Theoretical Computer Science (AREA)
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- General Engineering & Computer Science (AREA)
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- Collating Specific Patterns (AREA)
Abstract
The invention discloses a piece of movable storage equipment with an identity authentication function. The equipment comprises a movable storage device as well as a fingerprint identification program and a key program which drive starting of the movable storage device, wherein the fingerprint identification program comprises a fingerprint identification module, a fingerprint image processing module, a transmission module, a fingerprint authentication module and a control module capable of controlling the starting of the movable storage device which are electrically connected in succession; the key program is electrically connected to the control module; after a valid fingerprint image is input into the fingerprint authentication module or a correct password is input into the key program, the control module can be promoted to start the movable storage device; and the fingerprint image processing module comprises a fingerprint information checking sub-module, an image grey processing sub-module, an image texture parameter calculation sub-module, an image division sub-module and an image enhancement module. The equipment disclosed by the invention is safe and efficient and has the advantages of high efficiency and high precision of fingerprint identification.
Description
Technical field
The present invention relates to information security field, be specifically related to the movable storage device with identification verification function.
Background technology
In correlation technique, the movable storage device level of security using fingerprint recognition program is higher, but requires the highest 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 movable storage device safely and efficiently with identification verification function.
The purpose of the present invention realizes by the following technical solutions:
Providing the movable storage device with identification verification function, it includes movable storage device, drives movable storage device to open
Dynamic fingerprint recognition program and cipher key procedures, described fingerprint recognition program includes fingerprint identification module, the fingerprint image being sequentially connected electrically
The control module closed as processing module, transport module, fingerprint authentication module and control movable storage device, described cipher key procedures
Electrically connecting with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures after input proper password
Control module is promoted to start movable storage device；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:
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 δxWith δyIt 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 δxWith δy's
Value is:
c0＜ T1And c1＜ T1Time, δx=4, δy=4；
c0＞ T2And c1＞ T2Time, δx=5, δy=5；
Other situations, δx=4.5, δy=4.5.
Further, the movable storage device described in identification verification function also includes that examining submodule with finger print information electrically connects
Buzzer siren, described buzzer siren is positioned at movable storage device, if finger print information examine in submodule continuous 2 times with
When the temperature of the detected tissue of upper collection and pulse data are 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 recognition program that can strengthen fingerprint image is set, wherein fingerprint image gray scale is processed, place
Fingerprint image after reason can wiping out background noise, and texture will not obscure in filtering, and contrast is strengthened；Use
The frequency fields of fingerprint image is smoothed by adaptive impovement type gaussian filtering equation, and the frequency fields obtained more can reflect fingerprint
Texture features；Use comprehensive distinguishing method based on half-tone information that fingerprint image is split, overcome dependence directional information and divide
The problem that the method for cutting can not accurately obtain texture variations intense regions direction, it is possible to accurately rapid extraction belongs to the son in actual fingerprint region
Block；The parametric texture of the sub-block belonging to finger-print region in Gabor filter described in basis sets threshold value, belongs to fingerprint by each
The difference of the field of direction of the sub-block in region and two sub-blocks of left and right neighborhood and the comparison of threshold value select the value of Gaussian envelope constant,
Fingerprint image can be strengthened targetedly, improve efficiency and the precision of fingerprint recognition；
2, the setting of buzzer siren, improves the security performance of the movable storage device with identification verification function；
3, the setting of cipher key procedures, can help the movable storage device user with identification verification function finger injuries or its
He starts movable storage device 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
Seeing Fig. 1, the invention provides the movable storage device with identification verification function, it includes movable storage device, drives
The fingerprint recognition program of dynamic movable storage device startup and cipher key procedures, described fingerprint recognition program includes the fingerprint being sequentially connected electrically
The control mould that identification module, fingerprint image processing module, transport module, fingerprint authentication module and control movable storage device are closed
Block, described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures
Control module is promoted to start movable storage device 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:
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 δxWith δyIt 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 δxWith δy's
Value is:
c0＜ T1And c1＜ T1Time, δx=4, δy=4；
c0＞ T2And c1＞ T2Time, δx=5, δy=5；
Other situations, δx=4.5, δy=4.5.
Further, the movable storage device described in identification verification function also includes that examining submodule with finger print information electrically connects
Buzzer siren, described buzzer siren is positioned at movable storage device, if finger print information examine in submodule continuous 2 times with
When the temperature of the detected tissue of upper collection and pulse data are all not in preset range, described buzzer siren is reported to the police.
The movable storage device with identification verification function of the present embodiment is safe and efficient, wherein, the setting of cipher key procedures, permissible
Help to have the movable storage device user of identification verification function finger injuries or other promote finger obsolete in the case of logical
Cross the password oneself arranged and start movable storage device；The setting of buzzer siren, improves the movement with identification verification function
The security performance of storage device；Setting can strengthen the fingerprint recognition program 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
Seeing Fig. 1, the invention provides the movable storage device with identification verification function, it includes movable storage device, driving
The fingerprint recognition program of movable storage device startup and cipher key procedures, described fingerprint recognition program includes that the fingerprint being sequentially connected electrically is known
The control module that other module, fingerprint image processing module, transport module, fingerprint authentication module and control movable storage device are closed,
Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated
Control module is promoted to start movable storage device 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:
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 δxWith δyIt 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 δxWith δy's
Value is:
c0＜ T1And c1＜ T1Time, δx=4, δy=4；
c0＞ T2And c1＞ T2Time, δx=5, δy=5；
Other situations, δx=4.5, δy=4.5.
Further, the movable storage device described in identification verification function also includes that examining submodule with finger print information electrically connects
Buzzer siren, described buzzer siren is positioned at movable storage device, if finger print information examine in submodule continuous 2 times with
When the temperature of the detected tissue of upper collection and pulse data are all not in preset range, described buzzer siren is reported to the police.
The movable storage device with identification verification function of the present embodiment is safe and efficient, wherein, the setting of cipher key procedures, permissible
Help to have the movable storage device user of identification verification function finger injuries or other promote finger obsolete in the case of logical
Cross the password oneself arranged and start movable storage device；The setting of buzzer siren, improves the movement with identification verification function
The security performance of storage device；Setting can strengthen the fingerprint recognition program 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
Seeing Fig. 1, the invention provides the movable storage device with identification verification function, it includes movable storage device, driving
The fingerprint recognition program of movable storage device startup and cipher key procedures, described fingerprint recognition program includes that the fingerprint being sequentially connected electrically is known
The control module that other module, fingerprint image processing module, transport module, fingerprint authentication module and control movable storage device are closed,
Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated
Control module is promoted to start movable storage device 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:
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 δxWith δyIt 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 δxWith δy's
Value is:
c0＜ T1And c1＜ T1Time, δx=4, δy=4；
c0＞ T2And c1＞ T2Time, δx=5, δy=5；
Other situations, δx=4.5, δy=4.5.
Further, the movable storage device described in identification verification function also includes that examining submodule with finger print information electrically connects
Buzzer siren, described buzzer siren is positioned at movable storage device, if finger print information examine in submodule continuous 2 times with
When the temperature of the detected tissue of upper collection and pulse data are all not in preset range, described buzzer siren is reported to the police.
The movable storage device with identification verification function of the present embodiment is safe and efficient, wherein, the setting of cipher key procedures, permissible
Help to have the movable storage device user of identification verification function finger injuries or other promote finger obsolete in the case of logical
Cross the password oneself arranged and start movable storage device；The setting of buzzer siren, improves the movement with identification verification function
The security performance of storage device；Setting can strengthen the fingerprint recognition program 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
Seeing Fig. 1, the invention provides the movable storage device with identification verification function, it includes movable storage device, driving
The fingerprint recognition program of movable storage device startup and cipher key procedures, described fingerprint recognition program includes that the fingerprint being sequentially connected electrically is known
The control module that other module, fingerprint image processing module, transport module, fingerprint authentication module and control movable storage device are closed,
Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated
Control module is promoted to start movable storage device 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:
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 δxWith δyIt 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 δxWith δy's
Value is:
c0＜ T1And c1＜ T1Time, δx=4, δy=4；
c0＞ T2And c1＞ T2Time, δx=5, δy=5；
Other situations, δx=4.5, δy=4.5.
Further, the movable storage device described in identification verification function also includes that examining submodule with finger print information electrically connects
Buzzer siren, described buzzer siren is positioned at movable storage device, if finger print information examine in submodule continuous 2 times with
When the temperature of the detected tissue of upper collection and pulse data are all not in preset range, described buzzer siren is reported to the police.
The movable storage device with identification verification function of the present embodiment is safe and efficient, wherein, the setting of cipher key procedures, permissible
Help to have the movable storage device user of identification verification function finger injuries or other promote finger obsolete in the case of logical
Cross the password oneself arranged and start movable storage device；The setting of buzzer siren, improves the movement with identification verification function
The security performance of storage device；Setting can strengthen the fingerprint recognition program 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
Seeing Fig. 1, the invention provides the movable storage device with identification verification function, it includes movable storage device, driving
The fingerprint recognition program of movable storage device startup and cipher key procedures, described fingerprint recognition program includes that the fingerprint being sequentially connected electrically is known
The control module that other module, fingerprint image processing module, transport module, fingerprint authentication module and control movable storage device are closed,
Described cipher key procedures electrically connects with control module, and described fingerprint authentication module inputs effective fingerprint image or cipher key procedures defeated
Control module is promoted to start movable storage device 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:
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 δxWith δyIt 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 δxWith δy's
Value is:
c0＜ T1And c1＜ T1Time, δx=4, δy=4；
c0＞ T2And c1＞ T2Time, δx=5, δy=5；
Other situations, δx=4.5, δy=4.5.
Further, the movable storage device described in identification verification function also includes that examining submodule with finger print information electrically connects
Buzzer siren, described buzzer siren is positioned at movable storage device, if finger print information examine in submodule continuous 2 times with
When the temperature of the detected tissue of upper collection and pulse data are all not in preset range, described buzzer siren is reported to the police.
The movable storage device with identification verification function of the present embodiment is safe and efficient, wherein, the setting of cipher key procedures, permissible
Help to have the movable storage device user of identification verification function finger injuries or other promote finger obsolete in the case of logical
Cross the password oneself arranged and start movable storage device；The setting of buzzer siren, improves the movement with identification verification function
The security performance of storage device；Setting can strengthen the fingerprint recognition program 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 movable storage device of identification verification function, it is characterized in that, including movable storage device, drive movable storage device to open
Dynamic fingerprint recognition program and cipher key procedures, described fingerprint recognition program includes fingerprint identification module, the fingerprint image being sequentially connected electrically
The control module closed as processing module, transport module, fingerprint authentication module and control movable storage device, described cipher key procedures
Electrically connecting with control module, described fingerprint authentication module inputs effective fingerprint image or cipher key procedures after input proper password
Control module is promoted to start movable storage device；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:
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 movable storage device with identification verification 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 δxWith δyIt 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 δxWith δy's
Value is:
c0＜ T1And c1＜ T1Time, δx=4, δy=4；
c0＞ T2And c1＞ T2Time, δx=5, δy=5；
Other situations, δx=4.5, δy=4.5.
The movable storage device with identification verification function the most according to claim 1, is characterized in that, also includes and finger print information
Examining the buzzer siren of submodule electrical connection, described buzzer siren is positioned at movable storage device, if finger print information examines son
When the temperature of detected tissue that in module, continuous more than 2 times gather and pulse data are all not in preset range, described buzzing
Alarm is reported to the police.
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| CN108492421A (en) * | 2018-03-29 | 2018-09-04 | 成都惠网远航科技有限公司 | Low-power consumption face identification method |
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