CN109657442A - A kind of computer user's identification system - Google Patents

A kind of computer user's identification system Download PDF

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Publication number
CN109657442A
CN109657442A CN201811468081.2A CN201811468081A CN109657442A CN 109657442 A CN109657442 A CN 109657442A CN 201811468081 A CN201811468081 A CN 201811468081A CN 109657442 A CN109657442 A CN 109657442A
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user
facial image
unit
characteristic
image
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李忠成
高惠燕
薛立新
张文祥
胡天云
阚先宏
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Zhejiang Wanli University
Zhejiang Wanli College
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Zhejiang Wanli College
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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1347—Preprocessing; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The present invention provides a kind of computer user's identification system, comprising: top control module selects registration mode or login mode for user, and allows log into thr computer in user identity identification success；Registration module controls acquisition module and characteristic extracting module obtains essential information, facial image characteristic parameter and the fingerprint characteristic parameter of user and is stored into database in user's registration；Login module controls acquisition module and characteristic extracting module obtains essential information, facial image characteristic parameter and the fingerprint characteristic parameter of user, it is matched with the characteristic parameter prestored in database, exports user identity identification result when user logs in；Acquisition module inputs essential information for user, and obtains user's facial image and user fingerprints information；Characteristic extracting module carries out feature extraction processing to user's facial image and user fingerprints information, exports facial image characteristic parameter and fingerprint characteristic parameter.The present invention improves the accuracy of user identity identification.

Description

A kind of computer user's identification system
Technical field
The present invention relates to technical field of intelligent interaction, especially a kind of computer user's identification system.
Background technique
With the continuous development of computer technology, information security has become the focus of computer user's common concern, tradition Method is only merely to confirm to code content, conventional cipher mode nowadays fast-developing mobile internet era gradually Show the deficiency of its safety, validity and convenience.Existing computer identity identification device can not achieve to calculating Machine user's human body biological characteristics confirm that it will cause huge economic losses once password is stolen by other people.It is existing very More login interfaces are required to log in using user password, if something lost can be easily caused using different homomorphic cryptography passwords respectively Forget；It is then easy to be stolen using unified verifying password.Therefore, it is necessary to a kind of new use human body biological characteristics to carry out user The calculation machine user identity identification device of identification.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of computer user's identification system.
The purpose of the present invention is realized using following technical scheme:
A kind of computer user's identification system, comprising: top control module, registration module, login module, acquisition module, Characteristic extracting module and database；
The top control module is connected respectively at the registration module with login module, for for user select registration mode or Login mode, and allow user to log in the computer in user identity identification success；
The registration module is connect with the acquisition module, characteristic extracting module and database respectively, for infusing in user When volume, controls the acquisition module and characteristic extracting module obtains essential information, facial image characteristic parameter and the fingerprint of user Characteristic parameter is simultaneously stored into the database；
The login module is connect with the acquisition module, characteristic extracting module and database respectively, for stepping in user When record, controls the acquisition module and characteristic extracting module obtains essential information, facial image characteristic parameter and the fingerprint of user Characteristic parameter matches it with the characteristic parameter prestored in database, exports user identity identification result；
The acquisition module is connect with the characteristic extracting module, for inputting essential information, and acquisition user for user Facial image and user fingerprints information；
The characteristic extracting module is connect with the database, for believing user's facial image and user fingerprints Breath carries out feature extraction processing, exports facial image characteristic parameter and fingerprint characteristic parameter.
The invention has the benefit that the present invention when user's registration by the facial image feature of user and referring to Line feature is acquired, and is associated storage with the essential information of user；When user logs in, pass through acquisition user's Facial image and finger print information are matched with the information prestored, are allowed user to log in when successful match, be ensure that identity is tested The uniqueness for demonstrate,proving data, improves the accuracy of user identity identification；Meanwhile this system structure is simple, can be suitable for difference In the computer system of type, flexibility and expansibility are high.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings Other attached drawings.
Fig. 1 is frame construction drawing of the invention；
Fig. 2 is the frame construction drawing of registration module of the present invention；
Fig. 3 is the frame construction drawing of login module of the present invention；
Fig. 4 is the frame construction drawing of this hair face characteristic extraction unit.
Appended drawing reference:
Top control module 1, registration module 2, login module 3, acquisition module 4, characteristic extracting module 5, database 6, basic letter Registering unit 21, facial image registering unit 22, fingerprint register unit 23, essential information input unit 31, facial image is ceased to know Other unit 32, fingerprint identification unit 33, authentication unit 34, man face image acquiring unit 41, fingerprint collecting unit 42, face characteristic Extraction unit 51, Finger print characteristic abstract unit 52, pretreatment subelement 510, detection sub-unit 511, signature identification subelement 512
Specific embodiment
In conjunction with following application scenarios, the invention will be further described.
Referring to Fig. 1 to Fig. 3, a kind of computer user's identification system is shown, comprising: top control module 1, registration module 2, login module 3, acquisition module 4, characteristic extracting module 5 and database 6；
The top control module 1 is connected respectively at the registration module 2 and login module 3, for selecting registration mould for user Formula or login mode, and allow user to log in the computer in user identity identification success；
The registration module 2 is connect with the acquisition module 4, characteristic extracting module 5 and database 6 respectively, for When family is registered, controls the acquisition module 4 and characteristic extracting module 5 obtains the essential information of user, facial image characteristic parameter With fingerprint characteristic parameter and be stored into the database 6；
The login module 3 is connect with the acquisition module 4, characteristic extracting module 5 and database 6 respectively, for When family logs in, controls the acquisition module 4 and characteristic extracting module 5 obtains the essential information of user, facial image characteristic parameter With fingerprint characteristic parameter, it is matched with the characteristic parameter prestored in database 6, exports user identity identification result；
The acquisition module 4 is connect with the characteristic extracting module 5, for inputting essential information, and acquisition use for user Family facial image and user fingerprints information；
The characteristic extracting module 5 is connect with the database 6, for user's facial image and user fingerprints Information carries out feature extraction processing, exports facial image characteristic parameter and fingerprint characteristic parameter.
Above embodiment of the present invention, by when user's registration to the facial image feature and fingerprint characteristic of user It is acquired, and is associated storage with the essential information of user；When user logs in, by the face figure for acquiring user Picture and finger print information are matched with the information prestored, are allowed user to log in when successful match, be ensure that certificate data Uniqueness, improve the accuracy of user identity identification；Meanwhile this system structure is simple, can be suitable for different types of In computer system, flexibility and expansibility are high.
Preferably, the acquisition module 4 includes: man face image acquiring unit 41 and fingerprint collecting unit 42；
The man face image acquiring unit 41, for obtaining user's facial image；
The fingerprint collecting unit 42, for obtaining user fingerprints information.
Facial image unit (such as camera) and fingerprint collecting is arranged in above embodiment of the present invention in a computer respectively Unit 42 (such as fingerprint capturer) acquires user information, strong robustness, and flexibility is high.
Preferably, the characteristic extracting module 5, including face characteristic extraction unit 51 and Finger print characteristic abstract unit 52；
The face characteristic extraction unit 51 exports face for carrying out feature extraction processing to the facial image of acquisition Image features；
The Finger print characteristic abstract unit 52 exports fingerprint for carrying out feature extraction processing to the finger print information of acquisition Characteristic parameter.
Above embodiment of the present invention, characteristic extracting module 5 are specially handled the user information of acquisition, extract user The characteristic parameter of facial image and finger print information lays the foundation to the further matching of user information for follow-up system.
Preferably, the registration module 2 includes: essential information registering unit 21, facial image registering unit 22, fingerprint note Volume unit 23；
The essential information registering unit 21, for filling in the essential information of user in user's registration；
The facial image registering unit 22, for controlling the man face image acquiring unit 41 and obtaining in user's registration The first user's facial image for taking family different angle, it is special that the first user's facial image that will acquire transmits the face Levy extraction unit 51；The face characteristic extraction unit 51 is controlled to carry out at feature extraction the first user facial image Reason, the first facial image characteristic parameter of output are stored into database 6；
The fingerprint register unit 23 obtains the first use in user's registration, controlling the fingerprint collecting unit 42 Family finger print information, the first user fingerprints information that will acquire are sent to the Finger print characteristic abstract unit 52；Control the fingerprint Feature extraction unit 52 carries out feature extraction processing to first user fingerprints information, exports the first user fingerprints characteristic parameter It is stored into database 6.
Above embodiment of the present invention, in user's registration, user fills in essential information, including identity ID, user first Department described in name, user etc., then registration module 2 controls face acquisition unit and fingerprint collecting unit 42 acquires user's respectively Facial image and finger print data, and receive the characteristic parameter by feeding back after the processing of characteristic extracting module 5, the characteristic parameter that will acquire It is associated, is stored into database 6 together with User ID, user name etc., so as in the future when user logs in as benchmark letter Breath.
Preferably, the database 6, for storing user basic information and corresponding facial image characteristic parameter and referring to Line characteristic parameter.
Preferably, the login module 3, including essential information input unit 31, facial image recognition unit 32, fingerprint are known Other unit 33, authentication unit 34；
The essential information input unit 31, for obtaining the essential information of user when user logs in；
The facial image recognition unit 32, for controlling the man face image acquiring unit 41 and obtaining when user logs in Second user facial image is taken, the second user facial image that will acquire is sent to the face characteristic extraction unit 51；It receives The face characteristic extraction unit 51 carries out the second face figure of feature extraction processing output to the second user facial image As characteristic parameter, by the second facial image characteristic parameter first face corresponding with the user information in the database 6 Image features are matched, and the output successful match when similarity is greater than 90% is as a result, otherwise output it fails to match result；
The fingerprint identification unit 33 obtains the second use for when user logs in, controlling the fingerprint collecting unit 42 Family finger print information, the second user finger print information that will acquire are sent to the Finger print characteristic abstract unit 52；Receive the fingerprint Feature extraction unit 52 carries out the second fingerprint characteristic parameter of feature extraction processing output to the second user finger print information, will The second fingerprint characteristic parameter, first fingerprint characteristic parameter corresponding with the user information in the database 6 is matched, The output successful match when similarity is greater than 90% is as a result, otherwise output it fails to match result.
The authentication unit 34, for being exported simultaneously when the facial image recognition unit 32 and fingerprint identification unit 33 When successful match result, user identity identification successful result is exported.
Preferably, the top control module 1, for selecting registration mode or login mode for user；It is also used to test when described When demonstrate,proving the output user identity identification successful result of unit 34, allow user's log into thr computer.
Above embodiment of the present invention, when user needs log into thr computer, user inputs its identity information first, such as uses Family ID, then login module 3 controls face acquisition unit and fingerprint collecting unit 42 acquires the facial image of user respectively and refers to Line data, and receive the characteristic parameter fed back after the processing of characteristic extracting module 5, the characteristic parameter that will acquire and database 6 In matched with the characteristic parameter of the user-association, when matching similarity be greater than 90% when, export successful match result；When adopting When the user's facial image characteristic parameter and fingerprint characteristic parameter while successful match of collection, computer is controlled by top control module 1 and is permitted Family allowable logs in.
Preferably, referring to fig. 4, the face characteristic extraction unit 51, further includes: it is single to detect son for pretreatment subelement 510 Member 511 and signature identification subelement 512；
The pretreatment subelement 510, for carrying out enhancing pretreatment, output enhancing face figure to the facial image of acquisition Picture；
The detection sub-unit 511 exports face for carrying out human face region detection processing to the enhancing facial image Area image；
The signature identification subelement 512 obtains the people for carrying out feature extraction processing to the human face region image Facial image characteristic parameter of the face characteristic information of face area image as output.
Above embodiment of the present invention further includes to user's face figure before carrying out feature extraction to user's facial image As being pre-processed, it is ensured that the facial image under different situations, varying environment acquisition exports same state after pretreatment Then facial image carries out feature extraction again, it is ensured that the standard of user's facial image verifying is carried out under different situations, varying environment True property, improves the adaptability of identification system.
Preferably, the pretreatment subelement 510, for carrying out enhancing pretreatment to the facial image of acquisition, output increases Strong man's face image, specifically includes:
(1) gray processing processing is carried out to the facial image of acquisition, obtains Gray Face image；
(2) Gamma correction is carried out to the Gray Face image, the facial image after output calibration；
(3) adaptive-filtering processing is carried out to the facial image after the correction, exports filtered facial image；
(4) enhancing processing, output enhancing facial image are carried out to filtered facial image.
Above embodiment of the present invention carries out enhancing pretreatment using facial image of the aforesaid way to acquisition, can be first Gamma correction is first passed through, the intensity of illumination of facial image is improved；Then the facial image after correction is carried out adaptive Filtering processing, can filter the noise jamming in image, improve the quality of facial image；Finally facial image is enhanced Processing, adjusts the contrast of facial image, another image recognition performance is higher；Know suitable for the user identity under different light environments Not.
Preferably, in the pretreatment subelement 510, the facial image after the correction is carried out at adaptive-filtering Reason, exports filtered facial image, specifically includes:
The facial image A after the correction is filtered using the first adaptive-filtering function, obtains the first filter Wave image B ', wherein the first adaptive-filtering function used are as follows:
Wherein,
In formula, B ' (x, y) indicates the gray value of pixel (x, y) in the first filtering image, AmaxFace after indicating correction Gray scale maximum value in image, AmeanThe gray average of facial image after indicating correction, α (x, y) indicate pixel (x, y) The first adaptive-filtering factor, R1(x, y) indicates the first Gaussian low pass wave function,σ1It indicates The standard variance of first Gaussian kernel；
The first filtering image B ' is further filtered using the second adaptive-filtering function, obtains second Filtered facial image of the filtering image C ' as output, wherein the second adaptive-filtering function of use are as follows:
Wherein,
In formula, C ' (x, y) indicates that the gray value of pixel (x, y) in the second filtering image, B ' (x, y) indicate the first filtering The gray value of pixel (x, y), B ' in imagemaxIndicate the gray scale maximum value in the first filtering image, β (x, y) expression second is certainly The adaptive filtering factor, B 'meanIndicate the gray average in the first filtering image, R2(x, y) indicates the second Gassian low-pass filter letter Number,ω1And ω2Respectively indicate the filter factor of setting.
Above embodiment of the present invention carries out adaptive-filtering processing to the facial image after correction using aforesaid way, Brightness regulation filtering can be carried out to facial image according to the light sensitive degree of the facial image after correction first, improve face figure As the robustness to brightness；Then again to facial image carry out secondary filtering, further eliminate facial image in noise spot and Brightness bring imbalance sense, further increases the adaptability and robustness of brightness in facial image, improves facial image and exist Recognition performance under different illumination levels.
Preferably, in the pretreatment subelement 510, enhancing processing, output enhancing are carried out to filtered facial image Facial image specifically includes:
Filtered image is smoothed, wherein the smooth function used are as follows:
In formula, D ' (x, y) indicates that the gray value of smoothed out image slices vegetarian refreshments (x, y), C ' (x, y) indicate filtered people The gray value of pixel (x, y) in face image,WithRespectively indicate the difference nuclear factor of setting；
Processing, output enhancing facial image, wherein adopting are modified to enhanced image using customized threshold function table Correction function are as follows:
In formula, E ' (x, y) indicates that the gray value of pixel (x, y) in enhancing facial image, sgn indicate sign function, γ1、γ2、δ1And δ2The modifying factor of setting is respectively indicated, D ' (x, y) indicates the gray scale of smoothed out image slices vegetarian refreshments (x, y) Value, Q indicate the correction threshold of setting.
Above embodiment of the present invention carries out smooth and contrast to filtered facial image using aforesaid way and repairs Just, the smoothness and contrast of facial image can be effectively improved, to improve the identifiability of facial image, is improved indirectly Accuracy of user's identifying system to user's recognition of face.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered Work as analysis, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention Matter and range.

Claims (8)

1. a kind of computer user's identification system characterized by comprising top control module, registration module, login module, Acquisition module, characteristic extracting module and database；
The top control module is connected respectively at the registration module with login module, for selecting registration mode or login for user Mode, and allow user to log in the computer in user identity identification success；
The registration module is connect with the acquisition module, characteristic extracting module and database respectively, in user's registration When, it controls the acquisition module and characteristic extracting module obtains essential information, facial image characteristic parameter and the fingerprint spy of user Sign parameter is simultaneously stored into the database；
The login module is connect with the acquisition module, characteristic extracting module and database respectively, for logging in user When, it controls the acquisition module and characteristic extracting module obtains essential information, facial image characteristic parameter and the fingerprint spy of user Parameter is levied, it is matched with the characteristic parameter prestored in database, exports user identity identification result；
The acquisition module is connect with the characteristic extracting module, for inputting essential information, and acquisition user's face for user Image and user fingerprints information；
The characteristic extracting module is connect with the database, for user's facial image and user fingerprints information into Row feature extraction processing, exports facial image characteristic parameter and fingerprint characteristic parameter.
2. a kind of computer user's identification system according to claim 1, which is characterized in that the acquisition module packet It includes: man face image acquiring unit and fingerprint collecting unit；
The man face image acquiring unit, for obtaining user's facial image；
The fingerprint collecting unit, for obtaining user fingerprints information.
3. a kind of computer user's identification system according to claim 2, which is characterized in that the feature extraction mould Block, including face characteristic extraction unit and Finger print characteristic abstract unit；
The face characteristic extraction unit, for carrying out feature extraction processing to the facial image of acquisition, output facial image is special Levy parameter；
The Finger print characteristic abstract unit, for carrying out feature extraction processing, output fingerprint characteristic ginseng to the finger print information of acquisition Number.
4. a kind of computer user's identification system according to claim 3, which is characterized in that the registration module packet It includes: essential information registering unit, facial image registering unit, fingerprint register unit；
The essential information registering unit, for filling in the essential information of user in user's registration；
The facial image registering unit obtains user not in user's registration, controlling the man face image acquiring unit With first user's facial image of angle, the first user's facial image that will acquire transmits the face characteristic and extracts list Member；It controls the face characteristic extraction unit and feature extraction processing is carried out to the first user facial image, export the first Face image characteristic parameter is stored into database；
The fingerprint register unit obtains the first user fingerprints letter in user's registration, controlling the fingerprint collecting unit Breath, the first user fingerprints information that will acquire are sent to the Finger print characteristic abstract unit；Control the Finger print characteristic abstract list Member carries out feature extraction processing to first user fingerprints information, and the first user fingerprints characteristic parameter of output is stored into database In.
5. a kind of computer user's identification system according to claim 3, which is characterized in that the login module, Including essential information input unit, facial image recognition unit, fingerprint identification unit, authentication unit；
The essential information input unit, for obtaining the essential information of user when user logs in；
The facial image recognition unit obtains the second use for when user logs in, controlling the man face image acquiring unit Family facial image, the second user facial image that will acquire are sent to the face characteristic extraction unit；It is special to receive the face The second facial image characteristic parameter that extraction unit carries out feature extraction processing output to the second user facial image is levied, it will The second facial image characteristic parameter the first facial image characteristic parameter corresponding with the user information in the database into Row matching, the output successful match when similarity is greater than 90% is as a result, otherwise output it fails to match result；
The fingerprint identification unit obtains second user fingerprint letter for when user logs in, controlling the fingerprint collecting unit Breath, the second user finger print information that will acquire are sent to the Finger print characteristic abstract unit；Receive the Finger print characteristic abstract list Member carries out the second fingerprint characteristic parameter of feature extraction processing output to the second user finger print information, by second fingerprint Characteristic parameter the first fingerprint characteristic parameter corresponding with the user information in the database is matched, when similarity is greater than Successful match is exported when 90% as a result, otherwise output it fails to match result.
The authentication unit, for exporting successful match knot simultaneously when the facial image recognition unit and fingerprint identification unit When fruit, user identity identification successful result is exported.
6. a kind of computer user's identification system according to claim 5, which is characterized in that the face characteristic mentions Take unit, further includes: pretreatment subelement, detection sub-unit and signature identification subelement；
The pretreatment subelement, for carrying out enhancing pretreatment, output enhancing facial image to the facial image of acquisition；
The detection sub-unit exports human face region figure for carrying out human face region detection processing to the enhancing facial image Picture；
The signature identification subelement obtains the human face region for carrying out feature extraction processing to the human face region image Facial image characteristic parameter of the face characteristic information of image as output.
7. a kind of computer user's identification system according to claim 6, which is characterized in that pretreatment is single Member, for carrying out enhancing pretreatment to the facial image of acquisition, output enhancing facial image is specifically included:
(1) gray processing processing is carried out to the facial image of acquisition, obtains Gray Face image；
(2) Gamma correction is carried out to the Gray Face image, the facial image after output calibration；
(3) adaptive-filtering processing is carried out to the facial image after the correction, exports filtered facial image；
(4) enhancing processing, output enhancing facial image are carried out to filtered facial image.
8. a kind of computer user's identification system according to claim 7, which is characterized in that pretreatment is single In member, adaptive-filtering processing is carried out to the facial image after the correction, filtered facial image is exported, specifically includes:
The facial image A after the correction is filtered using the first adaptive-filtering function, obtains the first filtering figure As B ', wherein the first adaptive-filtering function used are as follows:
Wherein,
In formula, B ' (x, y) indicates the gray value of pixel (x, y) in the first filtering image, AmaxFacial image after indicating correction In gray scale maximum value, AmeanThe gray average of facial image after indicating correction, α (x, y) indicate the first of pixel (x, y) The adaptive-filtering factor, R1(x, y) indicates the first Gaussian low pass wave function,σ1Indicate first The standard variance of Gaussian kernel；
The first filtering image B ' is further filtered using the second adaptive-filtering function, obtains the second filtering Filtered facial image of the image C ' as output, wherein the second adaptive-filtering function of use are as follows:
Wherein,
In formula, C ' (x, y) indicates that the gray value of pixel (x, y) in the second filtering image, B ' (x, y) indicate the first filtering image The gray value of middle pixel (x, y), B 'maxIndicate the gray scale maximum value in the first filtering image, β (x, y) indicates that second is adaptive Filtering factor, B 'meanIndicate the gray average in the first filtering image, R2(x, y) indicates the second Gaussian low pass wave function,ω1And ω2Respectively indicate the filter factor of setting.
CN201811468081.2A 2018-12-03 2018-12-03 A kind of computer user's identification system Pending CN109657442A (en)

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