CN109035538A - A kind of visiting personnel registration checking device based on recognition of face - Google Patents

A kind of visiting personnel registration checking device based on recognition of face Download PDF

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Publication number
CN109035538A
CN109035538A CN201811204790.XA CN201811204790A CN109035538A CN 109035538 A CN109035538 A CN 109035538A CN 201811204790 A CN201811204790 A CN 201811204790A CN 109035538 A CN109035538 A CN 109035538A
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Prior art keywords
visiting personnel
image
frontal
checking device
visiting
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不公告发明人
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Shenzhen Mei Te You Technology Co Ltd
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Shenzhen Mei Te You Technology Co Ltd
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Priority to CN201811204790.XA priority Critical patent/CN109035538A/en
Publication of CN109035538A publication Critical patent/CN109035538A/en
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G07C9/253—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition visually
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/30—Noise filtering
    • 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

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

Abstract

The visiting personnel based on recognition of face that the invention discloses a kind of registers checking device, and it includes: certificate read module which, which registers checking device, for reading or scanning the image and identity information of visiting personnel certificate；Visiting personnel Image Acquisition checks module, for acquiring the image of visiting personnel, identifies the face in described image, is compared with the visiting personnel additional clause image, if similarity is more than the threshold value of setting, examination passes through；Card-issuing module, the current IC card of visiting personnel granting for passing through to examination or with the current item of tagged papery；The storage of visiting personnel register information and enquiry module, for storing and inquiring the register information of the visiting personnel.Checking device is registered using visiting personnel of the invention, it can be ensured that the true identity of visiting personnel is effectively verified in testimony of a witness unification, prevents the security breaches that visiting personnel utilizes other people identity document false impersonation's identity.

Description

A kind of visiting personnel registration checking device based on recognition of face
Technical field
The present invention relates to challenge technical fields, and in particular to a kind of visiting personnel registration examination based on recognition of face Device.
Background technique
With the rapid development of social economy, the exchange between people, business contact are more and more closer, so as to cause discrepancy Party and government offices, enterprises and institutions, residential area, the visiting personnel of business premises constituent parts are increasingly frequent, and it is more to show the stream of people And miscellaneous feature, therefore the visiting personnel of constituent parts enters and leaves safety management, becomes one of link mostly important in security work. Visitor's registration of constituent parts at present also generally rests on the manual mode of operation of " mouth asks, soon, notes ", in social item now Under part, such way to manage has not obviously adapted to safety management needs under the new situation.
Managing caller is primarily present following problems at present: one, visiting personnel true identity is difficult to；Two, artificial papery Hand-written registration of personnel information, writing is many and diverse, and multidigit ID card No. is easy dislocation leakage position；Three, paper register list is easy to lose It loses, damage, while not easy to maintain, inconvenience is searched, and registration becomes a mere formality, it is difficult to effectively be managed.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of visiting personnel registration checking device based on recognition of face.
The purpose of the present invention is realized using following technical scheme:
A kind of visiting personnel registration checking device based on recognition of face, visiting personnel registration checking device include:
Certificate read module, for reading or scanning the image and identity information of visiting personnel certificate；Visiting personnel image Acquisition examination module identifies the face in described image, in the visiting personnel certificate for acquiring the image of visiting personnel Image be compared, if similarity is more than the threshold value of setting, examination passes through；Card-issuing module, for examination by come Visit personnel provide current IC card or with the current items of tagged papery；The storage of visiting personnel register information and enquiry module, are used for Store and inquire the register information of the visiting personnel.
The invention has the benefit that registering checking device using visiting personnel of the invention, it can be ensured that testimony of a witness unification, The effectively true identity of verifying visiting personnel prevents the safety that visiting personnel utilizes other people identity document false impersonation's identity Loophole.
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 the structure chart of visiting personnel registration checking device of the present invention；
Fig. 2 is the frame construction drawing of visiting personnel Image Acquisition examination module of the present invention.
Appended drawing reference: certificate read module 1；Visiting personnel Image Acquisition checks module 2；Card-issuing module 3；Visiting personnel is stepped on Remember information storage and enquiry module 4；Image Acquisition submodule 5；Pre-process submodule 6；Feature extraction submodule 7；Aspect ratio pair Submodule 8；Gray processing unit 9；Smooth unit 10；Enhancement unit 11.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of visiting personnel registration checking device based on recognition of face, the visiting personnel registers checking device Include:
Certificate read module 1, for reading or scanning the image and identity information of visiting personnel certificate；Visiting personnel image Acquisition examination module 2 identifies the face in image, with visiting personnel additional clause image for acquiring the image of visiting personnel It is compared, if similarity is more than the threshold value of setting, examination passes through；Card-issuing module 3, the visiting personnel for passing through to examination Provide current IC card or with the current item of tagged papery；Visiting personnel register information storage and enquiry module 4, for store and Inquire the register information of visiting personnel.
The utility model has the advantages that registering checking device using visiting personnel of the invention, it can be ensured that testimony of a witness unification, effectively verifying come The true identity of visit personnel prevents the security breaches that visiting personnel utilizes other people identity document false impersonation's identity.
Preferably, visiting personnel certificate is one of passport, second-generation resident identification card, employee's card or pass or several Kind.
Preferably, referring to fig. 2, visiting personnel Image Acquisition examination module 2 includes: Image Acquisition submodule 5, for acquiring The frontal one image of visiting personnel；Submodule 6 is pre-processed, for pre-processing to the frontal one image of acquisition；Feature Extracting sub-module 7, for extracting the facial feature data of visiting personnel from pretreated frontal one image；Aspect ratio pair Submodule 8, for by the facial feature data for the visiting personnel extracted and visiting personnel additional clause face features number According to being compared, if similarity is more than the threshold value of setting, examination passes through.
Preferably, pretreatment submodule 6 includes gray processing unit 9, smooth unit 10 and enhancement unit 11.Gray processing unit 9, gray processing processing is carried out for the frontal one image to visiting personnel；Smooth unit 10, for the front after gray processing Face image is smoothed；Enhancement unit 11, for carrying out enhancing processing to smoothed out frontal one image.
Preferably, the frontal one image after gray processing is smoothed, specifically:
(1) M layers of wavelet decomposition are carried out to the frontal one image after gray processing using wavelet transformation, obtains one group of wavelet systems Number；
(2) threshold process is carried out to the wavelet coefficient of each decomposition layer respectively using thresholding functions, wherein m layers The thresholding functions of wavelet coefficient are as follows:
In formula, z 'N, mFor m layers of n-th of wavelet coefficient after denoising, zN, mFor m layers of n-th of small echo before denoising Coefficient, T1, mFor the bottom threshold value of m layers of wavelet coefficient of setting, T2, mFor the upper threshold of m layers of wavelet coefficient of setting Value, and T2, m=ζ T1, m, ζ is a proportionality coefficient, meets 0 < ζ < 1, and a is form factor, and μ is an invariant, and sgn (f) is Sign function takes 1 when f is positive number, when being negative, takes -1；
(3) wavelet coefficient after denoising is reconstructed using wavelet transformation, the frontal one image after being denoised.
The utility model has the advantages that carrying out threshold process, the threshold to the wavelet coefficient of different decomposition layer respectively using thresholding functions Value Processing Algorithm can adaptively remove the random noise in frontal one image according to the difference of decomposition level；At threshold value It manages in function, a is form factor, and the coefficient is for controlling T1, m< | zN, m|≤T2, mWith | zN, m|≥T2, mFunction in section Shape, i.e. control attenuation degree；According to T1, m、T2, mWith zN, mAbsolute value size relation, select different denoising modes to realize Denoising, the algorithm can be effectively removed the random noise in frontal one image, retain effective letter in frontal one image Breath, while the thresholding functions are in T1, mAnd T2, mPlace is continuous, what the frontal one image after capable of effectively avoiding denoising generated Additional concussion, in Near Threshold, which has preferable smooth transition band, so that the front after the denoising arrived Face image closer to true picture, be conducive to it is subsequent visiting personnel identity is accurately identified, prevent visiting personnel Utilize the security breaches of other people identity document false impersonation's identity.
In one embodiment, denoising is carried out to frontal one image using the method for threshold value, reality can be passed through Situation selects a fixed upper threshold value and a bottom threshold value to realize that the denoising to frontal one image operates.
In one more preferably embodiment, by solving the upper threshold value of each decomposition layer, and then realize to front The denoising process of face image.Wherein, upper threshold value T2, mIt is calculated using following formula:
In formula, T2, mFor the upper threshold value of m layers of wavelet coefficient, CN, mFor n-th of wavelet systems of m layers of wavelet coefficient Number, NmFor the number of m layers of wavelet coefficient, middle (ψ) expression takes median, i.e., from choosing in the wavelet coefficient to have sorted Between be worth；θ1、θ2For weight coefficient.
The utility model has the advantages that when solving the upper threshold value of each decomposition layer, by the mnddle for seeking all wavelet coefficients The mean value of value and the quadratic sum of m layers of wavelet coefficient, and then solve the upper threshold value of m layers of wavelet coefficient, the algorithm energy Each layer of determination adaptive of upper threshold value and bottom threshold value of the case where reaching according to each decomposition layer, and then select different Upper threshold value and bottom threshold value with realize denoising, the algorithm avoid setting fixed threshold bring noise wavelet coefficients It is retained, and to still remain much noise in the frontal one image after denoising, while also avoiding will be useful Wavelet coefficient treats as noise information, and makes the target after denoising too smooth, has lost detailed information；And select different threshold values It carries out denoising and also improves the accuracy of denoising.
It is described that enhancing processing is carried out to smoothed out frontal one image in an optional embodiment, specifically:
(1) the frontal one image after denoising is transformed from a spatial domain into fuzzy field using customized subordinating degree function, And calculate all pixels point in the frontal one image after denoising and be subordinate to angle value, wherein customized subordinating degree function are as follows:
In formula, μxyIt is the angle value that is subordinate to of the pixel at coordinate (x, y), fxyIt is to be sat in the frontal one image after denoising Mark the gray value of the pixel at (x, y), fTFor preset threshold value, L is the maximum gray scale in the frontal one image after denoising Value；
(2) in fuzzy field, it can be modified, be obtained by the angle value that is subordinate to of the nonlinear transformation to obtained each pixel It is subordinate to angle value to each pixel is revised, wherein customized nonlinear transformation formula are as follows:
In formula, μ 'xyRevised for the pixel at coordinate (x, y) is subordinate to angle value, μxyFor the picture at coordinate (x, y) Vegetarian refreshments is subordinate to angle value, μTFor fTIt is corresponding to be subordinate to angle value, μTIt can be calculated by the subordinating degree function of step (1)；
(3) the gray value for being subordinate to angle value and being converted to respective pixel point of revised pixel, after obtaining enhanced fuzzy Frontal one image, wherein revised the pixel at coordinate (x, y) is subordinate to angle value μ 'xyBe converted to its gray value f′xyFormula are as follows:
In formula, f 'xyIt is the gray value of the pixel at the coordinate (x, y) after inverse transformation；
All pixels point in fuzzy field is traversed, the set that all pixels point is constituted after inverse transformation is enhanced front Face image.
The utility model has the advantages that the frontal one image after denoising is transformed from a spatial domain to mould using customized subordinating degree function Domain is pasted, is allowed in fuzzy field, each pixel gray value is mapped in [0,1] section；By setting a threshold value fT, after denoising Frontal one image be divided into the higher region of gray level and the lower region of gray level, and respectively in the two regions with not With subordinating degree function domain in pixel be subordinate to angle value, the lower part of gray level can be weakened by doing so, make phase The gray level for the pixel answered is lower, while enhancing the higher part of gray level, keeps the gray level of corresponding pixel higher, with This achievees the purpose that image enhancement；By completing the enhancing processing to the frontal one image after denoising in fuzzy field, make Frontal one image after must denoising effectively is enhanced, while so that entire enhanced frontal one image brightens, energy Enough minutias preferably retained in frontal one image, are conducive to subsequent feature extraction and knowledge to frontal one image Not.
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 understanding, 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 (6)

1. a kind of visiting personnel based on recognition of face registers checking device, characterized in that include:
Certificate read module, for reading or scanning the image and identity information of visiting personnel certificate；
Visiting personnel Image Acquisition checks module, for acquiring the image of visiting personnel, the face in described image is identified, with institute It states visiting personnel additional clause image to be compared, if similarity is more than the threshold value of setting, examination passes through；
Card-issuing module, the current IC card of visiting personnel granting for passing through to examination or with the current item of tagged papery；
The storage of visiting personnel register information and enquiry module, for storing and inquiring the register information of the visiting personnel.
2. visiting personnel according to claim 1 registers checking device, characterized in that the visiting personnel certificate is shield According to, one or more of second-generation resident identification card, employee's card or the pass.
3. visiting personnel according to claim 2 registers checking device, characterized in that the visiting personnel Image Acquisition is looked into Testing module includes:
Image Acquisition submodule, for acquiring the frontal one image of visiting personnel；
Submodule is pre-processed, for pre-processing to the frontal one image of acquisition；
Feature extraction submodule, for extracting the facial feature data of visiting personnel from pretreated frontal one image；
Feature comparer module, for by the facial feature data for the visiting personnel extracted and the visiting personnel additional clause Face features data are compared, if similarity is more than the threshold value of setting, examination passes through.
4. visiting personnel according to claim 3 registers checking device, characterized in that described image acquires submodule and is CCD camera.
5. visiting personnel according to claim 3 registers checking device, characterized in that the pretreatment submodule includes ash Degreeization unit, smooth unit and enhancement unit；
The gray processing unit carries out gray processing processing for the frontal one image to visiting personnel；
The smooth unit, for being smoothed to the frontal one image after gray processing；
The enhancement unit, for carrying out enhancing processing to smoothed out frontal one image.
6. visiting personnel according to claim 5 registers checking device, characterized in that the frontal faces to after gray processing Portion's image is smoothed, specifically:
(1) M layers of wavelet decomposition are carried out to the frontal one image after gray processing using wavelet transformation, obtains one group of wavelet coefficient；
(2) threshold process is carried out to the wavelet coefficient of each decomposition layer respectively using thresholding functions, wherein m layers of small echo The thresholding functions of coefficient are as follows:
In formula, z 'n,mFor m layers of n-th of wavelet coefficient after denoising, zn,mFor m layers of n-th of wavelet systems before denoising Number, T1,mFor the bottom threshold value of m layers of wavelet coefficient of setting, T2,mFor the upper threshold value of m layers of wavelet coefficient of setting, And T2,m=ζ T1,m, ζ is a proportionality coefficient, meets 0 < ζ < 1, and a is form factor, and μ is an invariant, and sgn (f) is symbol Number function takes 1 when f is positive number, when being negative, takes -1；
(3) wavelet coefficient after denoising is reconstructed using wavelet transformation, the frontal one image after being denoised.
CN201811204790.XA 2018-10-16 2018-10-16 A kind of visiting personnel registration checking device based on recognition of face Pending CN109035538A (en)

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Application publication date: 20181218