CN109584423A - A kind of intelligent unlocking system - Google Patents
A kind of intelligent unlocking system Download PDFInfo
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- CN109584423A CN109584423A CN201811527730.1A CN201811527730A CN109584423A CN 109584423 A CN109584423 A CN 109584423A CN 201811527730 A CN201811527730 A CN 201811527730A CN 109584423 A CN109584423 A CN 109584423A
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- facial image
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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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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Abstract
The invention discloses a kind of intelligent unlocking system, which includes face acquisition device, central processing unit, controller, cloud storage, electric control door lock and alarm；Face acquisition device acquires the facial image of unlocking person, and the facial image of acquisition is sent to central processing unit；Central processing unit handles the facial image of acquisition, and the user's facial image characteristic parameter for having unlocking authority prestored in the characteristic parameter and cloud storage of the facial image that processing obtains is matched, and judges whether unlocking person has access permission；Controller issues corresponding control instruction to electric control door lock and alarm, and then realize and unlock according to the judging result of central processing unit.The identity of dual lock people identifies in the way of recognition of face, according to recognition result come to unlocking is completed, which ensure that the accuracy and uniqueness of the unlocking system, to improve the safety of the unlocking system, reliability and antifalsification.
Description
Technical field
The present invention relates to unlocking technique fields, and in particular to a kind of intelligent unlocking system.
Background technique
With the rapid development of electronic information technology, conventional door lock constantly develops to high-tech, intelligent direction, with biology
Feature identification combines the intelligent identifying system of conventional lock to enter in people's lives gradually, wherein more and more enterprises
This intelligent identifying system is applied to entrance guard management and attendance management, increasingly such as IC card identifying system, fingerprint recognition system
Be that safety and stability cannot effectively guarantee by the favor in market, but the problem of the two, IC card be easy to lose or
It is borrowed, the influence that fingerprint recognition changes vulnerable to fingerprint, these unstable factors will necessarily make system, and there are certain safety is hidden
Suffer from.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of intelligent unlocking system.
The purpose of the present invention is realized using following technical scheme:
A kind of intelligent unlocking system, the unlocking system include face acquisition device, central processing unit, controller, cloud storage
Device, electric control door lock and alarm；Face acquisition device, for acquiring the facial image of unlocking person, and by the facial image of acquisition
It is sent to central processing unit；Central processing unit, for handling the facial image of acquisition, and the face figure that processing is obtained
The user's facial image characteristic parameter for having unlocking authority prestored in the characteristic parameter and cloud storage of picture matches, and judgement is opened
Whether lock people has access permission；Controller is sent out for the judging result according to central processing unit to electric control door lock and alarm
Corresponding control instruction out；Specifically, if it is judged that display unlocking person has unlocking authority, controller sends unlocking instruction
To electric control door lock, electric control door lock is opened, if it is judged that display unlocking person does not have unlocking authority, controller sends alarm and refers to
It enables to alarm, alarm is alarmed.
Preferably, controller is single-chip microcontroller.
Preferably, face acquisition device is CCD camera.
Preferably, alarm is buzzer siren.
Preferably, central processing unit includes denoising module, enhancing module and characteristic extracting module；Module is denoised, for going
Except the random noise of facial image；Enhance module, for carrying out enhanced fuzzy to the facial image after denoising；Feature extraction mould
Block, for extracting the facial image characteristic parameter of enabling people from enhanced facial image.
The invention has the benefit that the identity of dual lock people identifies in the way of recognition of face, tied according to identification
Fruit comes to unlocking is completed, which ensure that the accuracy and uniqueness of the unlocking system, to improve the unlocking system
Safety, reliability and the antifalsification of system.
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.
Intelligent unlocking systematic schematic diagram in Fig. 1 embodiment of the present invention；
Fig. 2 is the frame construction drawing of central processing unit 2.
Appended drawing reference: face acquisition device 1；Central processing unit 2；Controller 3；Cloud storage 4；Electric control door lock 5；Alarm
6；Denoise module 21；Enhance module 22；Characteristic extracting module 23.
Specific embodiment
The invention will be further described with the following Examples.
Fig. 1 shows a kind of intelligent unlocking system, which includes face acquisition device 1, central processing unit 2, control
Device 3, cloud storage 4, electric control door lock 5 and alarm 6 processed；Face acquisition device 1, for acquiring the facial image of unlocking person, and
The facial image of acquisition is sent to central processing unit 2；Central processing unit 2, for handling the facial image of acquisition, and
The user's facial image feature for having unlocking authority that will be prestored in the characteristic parameter and cloud storage 4 of the facial image that processing obtains
Parameter is matched, and judges whether unlocking person has access permission；Controller 3, for the judgement knot according to central processing unit 2
Fruit issues corresponding control instruction to electric control door lock 5 and alarm 6；Specifically, it is opened if it is judged that showing that unlocking person has
Permission is locked, controller 3 sends unlocking instruction to electric control door lock 5, and electric control door lock 5 is opened, if it is judged that display unlocking person is not
With unlocking authority, controller 3 sends alarm command to alarm 6, and alarm 6 is alarmed.
Preferably, controller 3 is single-chip microcontroller.
Preferably, face acquisition device 1 is CCD camera.
Preferably, alarm 6 is buzzer siren.
Preferably, referring to fig. 2, central processing unit 2 includes denoising module 21, enhancing module 22 and characteristic extracting module 23；
Module 21 is denoised, for removing the random noise of facial image；Enhance module 22, for carrying out mould to the facial image after denoising
Paste enhancing；Characteristic extracting module 23, for extracting the facial image characteristic parameter of enabling people from enhanced facial image.
The invention has the benefit that the identity of dual lock people identifies in the way of recognition of face, tied according to identification
Fruit comes to unlocking is completed, which ensure that the accuracy and uniqueness of the unlocking system, to improve the unlocking system
Safety, reliability and the antifalsification of system.
In one embodiment, the random noise of the removal facial image, specifically:
(1) wavelet transformation is carried out to the facial image of acquisition, obtains one group of wavelet coefficient Z={ z1, z2..., zB, B is
The number of wavelet coefficient；
(2) threshold process is carried out to obtained wavelet coefficient using the new threshold function table of lower section, obtains estimating for wavelet coefficient
Evaluation:
In formula,For the estimated value of b-th of wavelet coefficient, b=1,2 ..., B；zbFor b-th of wavelet coefficient, χ1For setting
Bottom threshold value, χ2For the upper threshold value of setting, | z |maxFor the maximum value of the absolute value of high-frequency wavelet coefficient, | z |minFor
The minimum value of the absolute value of high-frequency wavelet coefficient, c, η are the constraint factor of setting, and value is 0 < c≤1, and 0 η≤1 < is described
Constraint factor be used to control the shrinkage degree of wavelet coefficient；Sgn (f) is that sign function takes 1 when f is positive number, when being negative,
Take -1；
(3) wavelet reconstruction is carried out to get the video image to after denoising to the estimated value of obtained wavelet coefficient.
The utility model has the advantages that carrying out segmentation denoising using facial image of the above method to acquisition, be conducive to retain low frequency
Minutia in wavelet coefficient simultaneously effective removes the random noise in high-frequency wavelet coefficient, and in present embodiment
New threshold function table is in χ1And χ2Place is continuous and can lead, can the effective brings vision distortion such as suppressed ringing, puppet Gibbs effect, mention
High denoising effect, reduces the complexity of the subsequent enhancing to facial image after denoising and face characteristic parameter extraction, improves
The efficiency and accuracy rate of the unlocking system recognition of face.
In one embodiment, the facial image to after denoising carries out enhanced fuzzy, specifically:
(1) facial image after denoising is divided into the image block that Q size is J × K；
(2) it uses the subordinating degree function of lower section by obtained image block by space field transformation to fuzzy field, and calculates all
Pixel is subordinate to angle value, in which:
WhenWhen, subordinating degree function are as follows:
WhenWhen, subordinating degree function are as follows:
In formula,The pixel arranged for jth row kth in q-th of image block is subordinate to angle value, wherein q=1,2 ...,
Q, j=1,2 ..., J, k=1,2 ..., K；For the maximum gradation value of q-th of image block, GmaxFor the face figure after denoising
The maximum gradation value of picture, GminFor denoising after facial image minimum gradation value,For the gray scale of q-th of image block of setting
Threshold value,For the gray value for the pixel that jth row kth in q-th of image block arranges, τ is the degree of membership factor, meets τ >=1；
(3) it in fuzzy field, is modified, is obtained using the angle value that is subordinate to of the nonlinear transformation formula to obtained pixel
Revised pixel is subordinate to angle value；
In formula,The revised of pixel arranged for jth row kth in q-th of image block is subordinate to angle value,It is
The pixel that jth row kth arranges in q image block is subordinate to angle value,ForDegree of membership threshold value,It can be by step (2)
Subordinating degree function is calculated；
(4) the gray value for being subordinate to angle value and being converted to respective pixel point of revised pixel, after obtaining enhanced fuzzy
Facial image, wherein in q-th of image block jth row kth arrange the revised of pixel be subordinate to angle valueConversion
For its gray valueFormula be:
WhenWhen,
WhenWhen,
In formula,For in q-th of image block being obtained after inverse transformation, the gray value of the pixel of jth row kth column,It is subordinate to angle value to be revised；It, can be by step (3) for the degree of membership threshold value of revised k-th of image block
In formula solve to obtain；
All image blocks are traversed, the set that all pixels point is constituted is the facial image after enhanced fuzzy.
The utility model has the advantages that the facial image after denoising is transformed from a spatial domain to fuzzy field using subordinating degree function, it is allowed to
In fuzzy field, the pixel gray value in each image block is mapped in [0,1] section.By the degree of membership for setting each image block
Threshold valueAccording to the maximum gradation value of the facial image after the gray value size of pixel each in each image block and denoising
And minimum gradation value, each image block is divided into the higher region of gray level and the lower region of gray level, and respectively at this
Be subordinate to angle value with pixel in different subordinating degree function domain in two regions, do so can weaken gray level compared with
Low part keeps the gray level of corresponding pixel lower, while enhancing the higher part of gray level, makes corresponding pixel
Gray level is higher, achievees the purpose that image enhancement with this；By completing the increasing to the facial image after denoising in fuzzy field
Strength reason, so that the facial image after denoising is effectively enhanced, while so that entire enhanced facial image brightens, energy
Enough minutias preferably retained in facial image, are conducive to accurately identifying for the identity of subsequent unlocking person.
In one embodiment,Value can also solve to obtain using following formula:
In formula,For the gray value threshold value of q-th of image block,For denoising after video image average gray value,
For in q-th of image block jth row kth arrange pixel gray value,Indicate all pictures in q-th of image block
The intermediate value of the gray value of vegetarian refreshments, γ1、γ2For weight coefficient.
The utility model has the advantages that solving the gray value threshold value of each image block using the above method, this method is not in present embodiment
The quadratic sum of the difference of each pixel gray value in the average gray value and image block of facial image after only accounting for denoising, also
Consider the influence of the intermediate value of pixel in image block, the gray value threshold value for the image block that this method obtains can be adaptive general
Corresponding image block realizes the enhancing operation in fuzzy field to each image block, the party by space field transformation to fuzzy field
Method can the minutia to corresponding image block effectively enhanced, while inhibiting the influence of residual noise.Be conducive to subsequent
The identity of clamshell doors people accurately identifies.
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 intelligent unlocking system, which is characterized in that including face acquisition device, central processing unit, controller, cloud storage
Device, electric control door lock and alarm；
The face acquisition device is sent in described for acquiring the facial image of unlocking person, and by the facial image of acquisition
Central processor；
The central processing unit, for handling the facial image of acquisition, and the feature for the facial image that processing is obtained
The user's facial image characteristic parameter for having unlocking authority prestored in parameter and the cloud storage matches, and judges unlocking person
Whether there is access permission；
The controller, for the judging result according to the central processing unit, Xiang Suoshu electric control door lock and alarm issue phase
The control instruction answered；Specifically, if it is judged that display unlocking person has unlocking authority, the controller sends unlocking instruction
To the electric control door lock, the electric control door lock is opened, if it is judged that display unlocking person does not have unlocking authority, the control
Device sends alarm command to the alarm, and the alarm is alarmed.
2. intelligent unlocking system according to claim 1, which is characterized in that the controller is single-chip microcontroller.
3. intelligent unlocking system according to claim 1, which is characterized in that the face acquisition device is CCD camera.
4. intelligent unlocking system according to claim 1, which is characterized in that the alarm is buzzer siren.
5. intelligent unlocking system according to claim 1, which is characterized in that the central processing unit include denoising module,
Enhance module and characteristic extracting module；
The denoising module, for removing the random noise of facial image；
The enhancing module, for carrying out enhanced fuzzy to the facial image after denoising；
The characteristic extracting module, for extracting the facial image characteristic parameter of enabling people from enhanced facial image.
6. intelligent unlocking system according to claim 5, which is characterized in that the random noise of the removal facial image,
Specifically:
(1) wavelet transformation is carried out to the facial image of acquisition, obtains one group of wavelet coefficient Z={ z1,z2,…,zB, B is wavelet systems
Several numbers；
(2) threshold process is carried out to obtained wavelet coefficient using the new threshold function table of lower section, obtains the estimated value of wavelet coefficient:
In formula,For the estimated value of b-th of wavelet coefficient, b=1,2 ..., B；zbFor b-th of wavelet coefficient, χ1For the threshold of setting
It is worth lower limit value, χ2For the upper threshold value of setting, | z |maxFor the maximum value of the absolute value of high-frequency wavelet coefficient, | z |minFor high frequency
The minimum value of the absolute value of wavelet coefficient, c, η are the constraint factor of setting, and value is 0 < c≤1,0 η≤1 <, the pact
Shu Yinzi is used to control the shrinkage degree of wavelet coefficient；Sgn (f) is that sign function takes 1 when f is positive number, when being negative, take-
1；
(3) wavelet reconstruction is carried out to get the video image to after denoising to the estimated value of obtained wavelet coefficient.
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