CN107220623A - A kind of face identification method and system - Google Patents
A kind of face identification method and system Download PDFInfo
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- CN107220623A CN107220623A CN201710391965.1A CN201710391965A CN107220623A CN 107220623 A CN107220623 A CN 107220623A CN 201710391965 A CN201710391965 A CN 201710391965A CN 107220623 A CN107220623 A CN 107220623A
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- face
- infrared lamp
- preset group
- group number
- infrared
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- 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
- G06V40/161—Detection; Localisation; Normalisation
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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
Abstract
The embodiment of the invention discloses a kind of face identification system and method, wherein, system includes infrared light supply module, image detection module, light source control module and face recognition module；When judging that face occurs in region to be identified, the infrared lamp of the first preset group number is opened, then to the facial image of the image capture device collection got, the image is identified according to face face recognition algorithm；When judging that region to be identified face does not occur, the number that the infrared lamp number in the infrared lamp of the second preset group number, the first preset group number is more than the infrared lamp in the second preset group number is opened in turn.Influence of the illumination to recognition of face is effectively reduced, is conducive to improving the accuracy rate of recognition of face；Greatly improve the security and reliability of face identification system；The substantial amounts of energy is also saved, the service life of system is improved.
Description
Technical field
The present embodiments relate to technical field of face recognition, more particularly to a kind of face identification method and system.
Background technology
With developing by leaps and bounds for computer technology and image processing techniques, due to face and other biological characteristics of human body
(such as fingerprint, iris) is equally inherent, and the superperformance such as its uniqueness and not transreplication differentiates for identity to be provided
Necessary premise, therefore it is widely used in public safety field.Face recognition technology is that one kind utilizes com-parison and analysis
Face visual signature information, to carry out the computer technology of identity discriminating.
Recognition of face is image or video flowing containing face with video camera or camera collection, and is examined in the picture automatically
Survey and track human faces, and then the correlated characteristic information of the face to detecting is extracted, and is then entered according to correlated characteristic information
Row identification, the discriminating of identity is realized with this.The key of all kinds of recognitions of face is to extract sheet related to identity in human face data
Matter feature, weakens and even eliminates and the incoherent information of identity, such as ambient lighting, posture, expression and jewelry.
In many non-identity factors, lighting issues have a great impact to the definition of imaging.People of the prior art
Face identification typically uses visible ray, and the identification of visible ray can not resist sunshine and the interference of other intense light sources, light resistance
Difference, causes recognition effect poor.For example because outdoor environment illumination variation is larger, camera can be automatic according to the change of ambient light
Adjusting brightness degree and color balance degree, but common camera is automatically adjusted when occurring that background light is too strong, portrait imaging
Under-exposed due to backlight, face imaging can not secretly meet very much the requirement for the definition being imaged to facial image, therefore can not
Accurate person characteristic information is obtained, is unfavorable for being identified.In addition, the identification of visible ray can not effectively recognize figure
Piece, video, model etc. forge face, there is larger potential safety hazard.
Therefore, the degree of accuracy of recognition of face how is improved, is those skilled in the art so as to improve the security of identity discriminating
Urgent problem to be solved.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of face identification system and method, improves the accurate of recognition of face
Degree, is conducive to improving the safety and reliability that identity differentiates.
In order to solve the above technical problems, the embodiment of the present invention provides following technical scheme：
On the one hand the embodiment of the present invention provides a kind of face identification system, including image capture device, in addition to：
Infrared light supply module, image detection module, light source control module and the face being connected with described image collecting device
Identification module；
The infrared light supply module includes multigroup infrared lamp, for providing near infrared light light source；
Described image detection module is connected with described image collecting device, for detecting whether region to be identified people occurs
Face, when judging that face occurs in the region to be identified, sends the instruction for the infrared lamp for opening the first preset group number；When judgement institute
When stating region to be identified and face do not occur, the instruction for the infrared lamp for opening the second preset group number in turn is sent；Described first is pre-
If organizing the number that the infrared lamp number in number is more than the infrared lamp in the second preset group number；
The light source control module is connected with the infrared light supply module, described image detection module respectively, for basis
The instruction for the unlatching infrared lamp that described image detection module is sent, opens corresponding infrared lamp；
The face recognition module is used to after the infrared lamp for detecting the first preset group number is opened, according to face face be known
The facial image that other algorithm is gathered to image capture device is identified.
Optionally, in addition to：
Optical filter, is connected with the infrared light supply module, for when detect the first preset group number infrared lamp open after,
Filter out the impurity light source in the near infrared light light source of the infrared light supply module outgoing.
Optionally, the infrared lamp of the second preset group number is 2 groups of infrared lamps.
Optionally, in addition to：
Display, is connected with the face recognition module, for the facial image that will be recognized in the face recognition module
As a result shown.
Optionally, the infrared lamp of the first preset group number is 32 groups of infrared lamps.
Optionally, described image detection module is matrix CCD.
Optionally, the wavelength of the infrared lamp in the infrared light supply module is 850nm.
Optionally, in addition to：
Alarm, is connected with the face recognition module, and current face's image is judged not as default face mould for working as
During face in type storehouse, alarm is carried out.
On the other hand the embodiment of the present invention provides a kind of face identification method, including：
Judge whether region to be identified face occurs；
When judging that face occurs in the region to be identified, the instruction for the infrared lamp for opening the first preset group number is sent；Obtain
The facial image for taking image capture device to gather, and extract the normalization picture of the facial image；According to face face recognition
The normalization picture is identified algorithm；
When judging that the region to be identified face does not occur, the infrared lamp of the second preset group number is opened in transmission in turn
Instruction；
Wherein, the infrared lamp number in the first preset group number is more than of the infrared lamp in the second preset group number
Number.
The embodiments of the invention provide a kind of face identification system, including infrared light supply module, image detection module, light source
Control module and face recognition module；When judging that face occurs in region to be identified, the infrared lamp of the first preset group number is opened, so
Afterwards to the facial image of the image capture device collection got, the image is identified according to face face recognition algorithm；
When judging that region to be identified face does not occur, open in turn in the infrared lamp of the second preset group number, the first preset group number
Infrared lamp number is more than the number of the infrared lamp in the second preset group number.
The advantage for the technical scheme that the application is provided is that, due to the biological nature of face, near-infrared light source may recognize that
Picture, model etc. forge face information, and only effective face is identified, the security of face identification system is greatly improved
And reliability；When face is not detected by, is taken turns to operate using the infrared lamp of the second preset group number and wait face to wake up,
When face is detected, the infrared lamp for including the first more preset group number of infrared lamp is opened, is not only effectively filtered out
It is unfavorable for the spectrum of identification in light, effectively reduces influence of the illumination to recognition of face, is conducive to improving recognition of face
Accuracy rate；The infrared lamp of majority can also be allowed to be in resting state, mass energy can be saved, improved when system is without identification
The service life of system.
In addition, the embodiment of the present invention provides corresponding application method also directed to face identification system, further such that institute
System is stated with more feasibility, methods described has corresponding advantage.
Brief description of the drawings
, below will be to embodiment or existing for the clearer explanation embodiment of the present invention or the technical scheme of prior art
The accompanying drawing used required in technology description is briefly described, it should be apparent that, drawings in the following description are only this hair
Some bright embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with root
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of embodiment structure chart of face identification system provided in an embodiment of the present invention；
Fig. 2 is another embodiment structure chart of face identification system provided in an embodiment of the present invention；
Fig. 3 is a kind of schematic flow sheet of face identification method provided in an embodiment of the present invention；
Fig. 4 is the schematic flow sheet of another face identification method provided in an embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only a part of embodiment of the invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
Term " first ", " second ", " the 3rd " " in the description and claims of this application and above-mentioned accompanying drawing
Four " etc. be for distinguishing different objects, rather than for describing specific order.In addition term " comprising " and " having " and
Their any deformations, it is intended that covering is non-exclusive to be included.For example contain the process of series of steps or unit, method,
The step of system, product or equipment are not limited to list or unit, but the step of may include not list or unit.
After the technical scheme of the embodiment of the present invention is described, the various non-limiting realities of detailed description below the application
Apply mode.
Referring firstly to Fig. 1, Fig. 1 is face identification system in a kind of embodiment structure chart, a kind of recognition of face
System, it may include：
Image capture device 101, infrared light supply module 102, image detection module 103, light source control module 104 and face
Identification module 105.
Image capture device 101 can be general camera, certainly, or other any collecting devices, this Shen
Please this is not limited in any way.
Infrared light supply module 102, is connected with image capture device 101, including multigroup infrared lamp, for providing near infrared light
Light source.It is interval that the wavelength of multigroup infrared lamp can be in 780nm-3000nm near infrared band, i.e. wavelength.Can be Same Wavelength
Lamp, or different wave length lamp, as long as meeting each wavelength near infrared band.Optionally, in infrared light supply module
The wavelength of infrared lamp be all 850nm.
Near-infrared light source is shortwave light source, is irradiated to certain objects when near-infrared light source is launched and (meets dermatoglyph
The object of material) on just can catoptric imaging.Because true man's face possesses dermatoglyph, this texture information can be anti-by near-infrared light source
Penetrate, and specific face can be imaged, generate specific three-dimensional face data coordinates information and feature；And picture, video, model
Effective reflection can not be produced Deng dummy's face, therefore can effectively recognize whether current target to be identified is effective people by infrared lamp
Face.In addition, can also by capture people pupil contraction (using the central point of pupil as the center of circle judge pupil it is whether regular enter
Row zoom is acted) action, it is made whether as the judgement of effective face.
Infrared light supply module 102 may include 32 groups of infrared lamps.Ensureing the accuracy rate of recognition of face and considering that energy consumption is asked
Topic, by test of many times, 32 groups of infrared lamp operating emission infrared lights can effectively filter and be unfavorable for identification present in light
Spectrum so that detected face normalization, and can greatly improve whether identification face is that real face (filters out figure
The dummy such as piece, video, model face) accuracy rate.Certainly, or other group of number infrared lamp, this does not influence the application's
Realize.
Image detection module 103 is connected with image capture device 101, for detecting whether region to be identified face occurs,
When judging that face occurs in the region to be identified, the instruction for the infrared lamp for opening the first preset group number is sent；It is described when judging
When region to be identified face does not occur, the instruction for the infrared lamp for opening the second preset group number in turn is sent；Described first presets
Infrared lamp number in group number is more than the number of the infrared lamp in the second preset group number.
In a kind of specific embodiment, when infrared lamp detects effective face, face can reflect signal, figure
As detection module 103 is detected after the signal, then judge that region to be identified occurs in that face.
In another embodiment, the image that can be collected by real-time image acquisition collecting device generates video
Stream information, passes through each frame different video picture in com-parison and analysis video flowing.When a specific frame occurs possessing eyebrow, face, nose
During the face characteristic such as son, eyes, chin, that is, face appearance is regarded as；Otherwise no face is regarded as to occur.
Optionally, image detection module is matrix CCD, certainly, and those skilled in the art can be according to specific reality
Border situation carries out choosing other any devices, and this does not influence the realization of the application.
During recognition of face, in order to effectively filter out the light source for being unfavorable for identification present in light, it is necessary to which more is infrared
Lamp, therefore the infrared lamp number in the first preset group number is much larger than the number of the infrared lamp in the second preset group number.
The infrared lamp of second preset group number can be 2 groups of infrared lamps, you can for any two groups in 32 groups of infrared lamps.Can will be red
Any two groups are combined as one in multigroup lamp in outer light source module 102, are operated in turn.Or other groups certainly,
Several lamp, due to having detected whether face, it is only necessary to a small amount of infrared light supply, by test of many times, two groups of infrared lamps can
Accurately enough light sources are provided for detection face.Certainly, the quantity of lamp is more, is more conducive to identification, still, lamp number is too
It is many, and the restricted lifetime of lamp.The energy is not only wasted, the life-span of each infrared lamp is also reduced.
Light source control module 104 is connected with infrared light supply module 102, image detection module 103 respectively, for according to described
The instruction for the unlatching infrared lamp that image detection module is sent, opens corresponding infrared lamp.
Light source control module 104 may include multiple switch, be separately positioned in the connection circuit of each infrared lamp, pass through control
System is switched on, to realize the open and close of infrared lamp.Certainly, or other modes, the application does not do any to this
Limit.
Face recognition module 105, is connected with image capture device 101, and the infrared of the first preset group number is detected for working as
After lamp is opened, it is identified according to the facial image that face face recognition algorithm is gathered to image capture device.
After the infrared lamp for detecting the first preset group number is opened, i.e., region to be identified has after face appearance, recognition of face
The facial image that module 105 is collected according to image capture device 101 is identified.
In order to improve recognition of face accuracy, facial image can be normalized, obtain normalization picture.Normalizing
It can be to eliminate the near-infrared source figure after hair style, dressing, glasses, the influence of harmful light source to change picture, because source figure eliminate it is above-mentioned
Influence factor, so this picture is unified without hair style, dressing, glasses and light environment, this source figure be extraction face characteristic according to
According to.It act as removing all disturbing factors, allows the extraction source of face characteristic to become more to unify, also removes recognition of face impacted
Source.
Normalization picture contain the face characteristic that near-infrared light source is reflected on face details coordinate information and
Feature, with this coordinate information and feature decompose the two-dimensional array of the dimension of generation 5000, and these arrays are carried out into data modeling,
Generate masterplate, masterplate to compare, provide comparison result, when judging this user as validated user, i.e., when face is effective face, point
The difference value face recognition device that current signature is compared in analysis carries out deep learning.
It should be noted that the infrared lamp of the second preset group number of face identification system is opened in turn, detection face is carried out,
When detecting face, the infrared lamp of the first preset group number is opened, recognition of face is carried out, after recognition of face terminates, by the
The infrared lamp of one preset group number is closed, and the infrared lamp for continuing the second preset group number is opened in turn.
In technical scheme provided in an embodiment of the present invention, due to the biological nature of face, near-infrared light source may recognize that
Picture, model etc. forge face information, and only effective face is identified, the security of face identification system is greatly improved
And reliability；When face is not detected by, is taken turns to operate using the infrared lamp of the second preset group number and wait face to wake up,
When face is detected, the infrared lamp for including the first more preset group number of infrared lamp is opened, is not only effectively filtered out
It is unfavorable for the spectrum of identification in light, effectively reduces influence of the illumination to recognition of face, is conducive to improving recognition of face
Accuracy rate；The infrared lamp of majority can also be allowed to be in resting state, mass energy can be saved, improved when system is without identification
The service life of system.
Because illumination is larger to the influence factor of recognition of face, in order to further improve the accuracy of recognition of face, base
In above-described embodiment, referring to Fig. 2, can also include：
Optical filter 106, is connected with infrared light supply module 102, for being opened when the infrared lamp for detecting the first preset group number
Afterwards, the impurity light source in the near infrared light light source of the infrared light supply module outgoing is filtered out.
Near-infrared light source is mainly 850nm, and it is other wave band light sources in addition to be harmful to light source.Optical filter plates to be a kind of
The specific glass of film, can be absorbed, correct, reflecting away harmful light source, but 850nm infrared light supply can be entered by filter transmission
Come, so as to reach the effect of filtering.
By adding optical filter so that the light source of identification is all near-infrared light source, the standard of recognition of face can be effectively improved
True rate.
In another specific embodiment, referring to Fig. 2, may also include：
Display 107, is connected with the face recognition module, for the face figure that will be recognized in the face recognition module
As result is shown.The result identified by face recognition module 105 is exported, you can on screen (liquid crystal display)
It has been shown that, can also be pointed out by voice in the form of word, picture or form, certainly, can also be entered using other modes
Row feedback, when this does not influence the realization of the embodiment of the present invention, such as None- identified current face image, can pass through open instruction
Lamp is pointed out.
By the way that recognition result is shown, but the target currently recognized and relevant staff understand current face
The workflow of identifying system, accurately obtains the result of identification, lifts the usage experience of user.
It is quick to search identification by that to recognizing that unsuccessful information is fed back in time, technical staff can be made to find in time
Unsuccessful reason, so as to quickly be repaired, is conducive to being lifted the operating efficiency of face identification system.
When there is invader's appearance, or other threats personnel are when making a forcible entry into, face identification system certainty None- identified these
Face, in order to improve the security and reliability of whole face identification system, referring to Fig. 2, may also include：
Alarm 108, is connected with the face recognition module 105, judges current face's image not to be default for working as
During face in Face Image Database, alarm is carried out.
Face Image Database is pre-established in face identification system, the face that will be allowed access into carries out typing, and carries out
Storage.
By the identification of face recognition module 105, when judging current face not as any one width people in Face Image Database
During face, then prove that current identification target may be invader, or a suspect.In order to strengthen the use with face identification system
The security at family, can be pointed out by alarming.Be conducive to improving the security and reliability of overall face identification system, carry
Rise the usage experience of user.
The embodiment of the present invention is provided also directed to face identification system and used accordingly, further such that the system has more
There is feasibility.Face identification method provided in an embodiment of the present invention is introduced below, face identification method described below
Can be mutually to should refer to above-described face identification system.
Fig. 3 is referred to, Fig. 3 is a kind of schematic flow sheet of face identification method provided in an embodiment of the present invention, the present invention
Embodiment may include herein below：
S301：Judge whether region to be identified face occurs.
S302：When judging that face occurs in the region to be identified, the finger for the infrared lamp for opening the first preset group number is sent
Order；The facial image of image capture device collection is obtained, and extracts the normalization picture of the face；According to face face recognition
The normalization picture is identified algorithm.
S303：When judging that the region to be identified face does not occur, the red of the second preset group number is opened in transmission in turn
The instruction of outer lamp.
Optionally, in a kind of specific embodiment, Fig. 4 is referred to, based on above-described embodiment, be may also include：
S304：The facial image result of identification is shown.
In addition, it is optional, it may also include：
S305：Whether judge the facial image that currently recognizes is face in default Face Image Database；
S306：When judging current face's image not as the face in Face Image Database, alarm is carried out.
Face identification method described in the embodiment of the present invention implement can be in said system embodiment each function
The function of module, it implements the associated description that process is referred to said system embodiment, and here is omitted.
From the foregoing, it will be observed that biological nature of the embodiment of the present invention due to face, near-infrared light source may recognize that picture, model etc.
Face information is forged, only effective face is identified, the security and reliability of face identification system is greatly improved；
When face is not detected by, waken up using the infrared lamp of the second preset group number wait face that takes turns to operate, when detecting people
When face, the infrared lamp for including the first more preset group number of infrared lamp is opened, it is unfavorable in light not only effectively to filter out
In the spectrum of identification, influence of the illumination to recognition of face is effectively reduced, is conducive to improving the accuracy rate of recognition of face；Can also
When system is without identification, allows the infrared lamp of majority to be in resting state, mass energy can be saved, the use of system is improved
Life-span.
The embodiment of each in this specification is described by the way of progressive, what each embodiment was stressed be with it is other
Between the difference of embodiment, each embodiment same or similar part mutually referring to.For being filled disclosed in embodiment
For putting, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part
Explanation.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example according to function in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can realize described function to each specific application using distinct methods, but this realization should not
Think beyond the scope of this invention.
Directly it can be held with reference to the step of the method or algorithm that the embodiments described herein is described with hardware, processor
Capable software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
A kind of face identification method provided by the present invention and system are described in detail above.It is used herein
Specific case is set forth to the principle and embodiment of the present invention, and the explanation of above example is only intended to help and understands
The method and its core concept of the present invention.It should be pointed out that for those skilled in the art, not departing from this
On the premise of inventive principle, some improvement and modification can also be carried out to the present invention, these are improved and modification also falls into the present invention
In scope of the claims.
Claims (9)
1. a kind of face identification system, including image capture device, it is characterised in that also include：
Infrared light supply module, image detection module, light source control module and the recognition of face being connected with described image collecting device
Module；
The infrared light supply module includes multigroup infrared lamp, for providing near infrared light light source；
Described image detection module is connected with described image collecting device, for detecting whether region to be identified face occurs, when
When judging that face occurs in the region to be identified, the instruction for the infrared lamp for opening the first preset group number is sent；Treated when described in judgement
When identification region face does not occur, the instruction for the infrared lamp for opening the second preset group number in turn is sent；First preset group
Infrared lamp number in number is more than the number of the infrared lamp in the second preset group number；
The light source control module is connected with the infrared light supply module, described image detection module respectively, for according to described
The instruction for the unlatching infrared lamp that image detection module is sent, opens corresponding infrared lamp；
The face recognition module is used to after the infrared lamp for detecting the first preset group number is opened, be calculated according to face face recognition
The facial image that method is gathered to image capture device is identified.
2. face identification system according to claim 1, it is characterised in that also include：
Optical filter, is connected with the infrared light supply module, for when detect the first preset group number infrared lamp open after,
Filter out the impurity light source in the near infrared light light source of the infrared light supply module outgoing.
3. face identification system according to claim 1, it is characterised in that the infrared lamp of the second preset group number is 2
Group infrared lamp.
4. face identification system according to claim 3, it is characterised in that also include：
Display, is connected with the face recognition module, for the facial image result that will be recognized in the face recognition module
Shown.
5. the face identification system according to Claims 1-4 any one, it is characterised in that the first preset group number
Infrared lamp be 32 groups of infrared lamps.
6. face identification system according to claim 5, it is characterised in that described image detection module passes for area array CCD
Sensor.
7. face identification system according to claim 6, it is characterised in that infrared lamp in the infrared light supply module
Wavelength is 850nm.
8. face identification system according to claim 7, it is characterised in that also include：
Alarm, is connected with the face recognition module, and current face's image is judged not as default Face Image Database for working as
In face when, carry out alarm.
9. a kind of face identification method, it is characterised in that including：
Judge whether region to be identified face occurs；
When judging that face occurs in the region to be identified, the instruction for the infrared lamp for opening the first preset group number is sent；Obtain figure
As the facial image that collecting device is gathered, and extract the normalization picture of the facial image；According to face face recognition algorithm
The normalization picture is identified；
When judging that the region to be identified face does not occur, the finger for the infrared lamp for opening the second preset group number in turn is sent
Order；
Wherein, the infrared lamp number in the first preset group number is more than the number of the infrared lamp in the second preset group number.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108496172A (en) * | 2018-04-18 | 2018-09-04 | 深圳阜时科技有限公司 | Electronic equipment and its personal identification method |
| CN108921121A (en) * | 2018-07-13 | 2018-11-30 | 湖南创合未来科技股份有限公司 | A kind of near-infrared face identification system and method suitable for being used under strong light environment |
| CN111357008A (en) * | 2017-11-28 | 2020-06-30 | 指纹卡有限公司 | Biometric imaging system and method for controlling the same |
| CN112883759A (en) * | 2019-11-29 | 2021-06-01 | 杭州海康威视数字技术股份有限公司 | Method for detecting image noise of biological characteristic part |
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