CN105023005B - Face identification device and its recognition methods - Google Patents

Face identification device and its recognition methods Download PDF

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CN105023005B
CN105023005B CN201510472672.7A CN201510472672A CN105023005B CN 105023005 B CN105023005 B CN 105023005B CN 201510472672 A CN201510472672 A CN 201510472672A CN 105023005 B CN105023005 B CN 105023005B
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions

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Abstract

A kind of face identification device and its recognition methods, the device are directly connected to host or terminal, have the function of the identification facial image to work independently, the identity to confirm the facial image;If there are four components: dual camera, facial recognition processor module, face sample data library module and communication module.Its recognition methods includes three operating procedures: configuration, identification, information are transmitted and are received.Apparatus structure is simple, integrally solves three defects of the prior art: included dual camera solves the uniformity problem of camera;And the technical bottleneck for relying on dual camera to solve In vivo detection can be applied to Internet scene so that recognition of face is safe and reliable.Host or terminal only need to plug the present apparatus (or being installed directly in host or terminal inner), corresponding key decryption functional module is installed again, the identity and In vivo detection that recognition of face can be directly read are as a result, to realize the real practical and universalness of face recognition technology.

Description

Face identification device and its recognition methods
Technical field
The present invention relates to a kind of face identification device and its recognition methods, belong to the technology neck of computer visual image identification Domain.
Background technique
The technology or equipment of automatic identification face, in public safety, intelligent monitoring, digital identification authentication, e-commerce, more Many fields such as media and digital entertainment all have huge application value and are widely applied market;Meanwhile because face is known Other subject for being related to studied is numerous, has important theoretical research value, by national governments, R&D institution and military affairs, Safety, the extensive concern of intelligence department and great attention.
By the research of decades, recognition of face has been achieved for significant progress and progress.Especially between last decade, Have become that one of crucial importance, research direction is numerous and extensive application with the computer vision research that " face " is object The science and sciemtifec and technical sphere of prospect.Wherein, Face datection identification technology is the front end work that computer automatically processes facial image, How under complex background, the problem of handling the human face detection and tracing of various different illumination, posture and expression shape change multiterminal, is Preferable solution is obtained.Current research shows that computer has been provided with the face function that real-time detection goes out in image, and Face datection algorithm has reached higher performance.Be similarly subjected to extensive concern there are also be directed to recognition of face research, nearly ten Many research method and achievement have been emerged between year.It can see from the recognition of face evaluation result of various mechanisms and tissue, Face identification rate under controlled condition has had increased significantly, this imply that before recognition of face will be widely used Scape." face " as a very important research object in computer vision, research achievement, which pushes, studies industrialization It is done step-by-step, and the more and more practical application requests in market, and higher and higher property is proposed to the correlative study of " face " It can requirement and standard.Current awfully hot internet finance is also using recognition of face as a kind of trustworthy authentication of reliability Mode.Secondly, the face identification functions module of different hosts or terminal operating usually requires to carry out secondary accordingly open respectively Hair, this just needs developer to have comparable research and development of software ability.However under many application scenarios, user does not have soft simultaneously Part development ability causes the exploitation of the face identification functions module under varying environment there is also very big problem, limits popularization and answer With.Again, can it be a very the key link that it is practical, which really to move towards face recognition technology, for In vivo detection function, prevent really Face only is forged using photo or video, the security guarantee during the functionization of recognition of face is played vital Decisive action.
Accurately In vivo detection can not be all truly realized currently based on the In vivo detection algorithm of single camera.Really may be used Lean on, effective biopsy method need multi-cam cooperate cooperating operation, however, current host or terminal often only pacify Dress is configured with single camera, and In vivo detection is caused to become the bottleneck that limitation face identification functions promote and apply.In order to solve people The existing defect of the above three of face automatic identification technology, the scientific and technical personnel of many computer industries all carry out extensive research and Test.
Summary of the invention
In view of this, face of the present invention is known the object of the present invention is to provide a kind of face identification device and its recognition methods Other device utilizes the combination of ad hoc functional module and associated components, preferably integration can solve three technology in the prior art Defect: the problem of only configuring single camera, needing software secondary development and cannot reliably confirm with In vivo detection is completed, thus real The real functionization of face recognition technology is showed.
In order to achieve the above object, the present invention provides a kind of face identification devices, it is characterised in that: the device directly connects It connects on host or terminal, has the function of the identification facial image to work independently, the identity to confirm the facial image;If Have: dual camera, facial recognition processor module, face sample data library module and communication module totally four building blocks;Its In:
Dual camera, respectively visible image capturing head and near-infrared camera, the visible light for obtaining face respectively shine Piece and near-infrared photo confirm the identity of each facial image for carrying out Face datection and recognition of face;The visible light of face Photo and near-infrared photo can also cooperate, together for In vivo detection and judgement;
Face sample data storehouse memorizer, the face characteristic for storing facial image and/or being extracted from facial image Data and its identity data are called for facial recognition processor module and are matched, and carry out Face datection and recognition of face, really Recognize the identity of each facial image;There are two types of the configuration modes of the face sample database:
(A) directly from host import facial image: host first directly to stored facial image establish face with The corresponding relationship of identity, then these information batch is imported into the face sample database of the device;
(B) it the facial image of face identification device shooting: allows the practical station of related personnel before the device camera, first opens Dynamic visible image capturing head shoots facial image;User chooses whether to save the people currently shot every time by host display observation Face image, then storage parameter is set, determine and stores the facial image and/or the face characteristic data extracted from facial image In face sample database, while distributing identification information;And each face is stored with multiple facial images as template;
Facial recognition processor module, be responsible for receive dual camera transmission come human face photo, then with face sample data The facial image stored in library and/or the face characteristic data extracted from facial image carry out matching detection, to judge to confirm The identity of the facial image;And it will test judging result and be sent to host or terminal via communication module;It is equipped with: Face datection, Recognition of face, In vivo detection, private key encryption and receiving host control signal and information totally five units;
Communication module is responsible for the information exchange function of the device and host or terminal;Equipped with total including USB, serial ports and SPI One or more interfaces in line connect host or terminal with the mode of being directly connected to, so as to have the various masters of distinct interface Machine or terminal can connect the device and have face identification functions.
In order to achieve the above object, the recognition methods that the present invention also provides a kind of using face identification device of the present invention, It is characterized by: the method includes following operative steps:
Step 1, face identification device is directly connected to host or terminal, is reconfigured the facial image of face sample database And/or the face characteristic data extracted from facial image and its identity information, also to configure various preset parameters;
Step 2, face identification device carries out recognition of face and In vivo detection;
Step 3, face identification device will test identification result encryption and pass to host or terminal, and host or terminal receive should Identification result executes corresponding operating.
The application of face identification device of the present invention is very extensive, needs to have recognition of face function suitable for any one Can host or terminal, be suitable for almost following finance, public safety, intelligent monitoring, digital identification authentication, e-commerce and Many fields such as digital entertainment, multimedia.Several specific applications are enumerated below: the various gatherings in mobile payment scene Terminal adds the authentication that face identification functions carry out paying party when executing internet payment.When ATM withdraws the money, taken The authentication of money people.The identification of each clearance mouth such as airport, customs, station or the entrance of unit, school's cell.
The innovation advantage of face identification device of the present invention is: the structure of the device is simple, innovates, and carries dual camera, no It needs host to be equipped with camera again, solves the uniformity problem of camera;Meanwhile dual camera being relied on preferably to solve work The technical bottleneck that physical examination is surveyed, enables recognition of face safer and more reliable, and be veritably applied to Internet scene. Host or terminal only need to plug the present apparatus (or being installed directly in host or terminal inner), then install corresponding key decryption Existing capability module, so that it may directly read recognition of face identification and In vivo detection as a result, making recognition of face true Just, advantageously enter practical and universalness.
In addition, face identification device of the present invention enable to need to have the various hosts of face identification functions, terminal or Other devices can upgrade rapidly and be configured to have host, terminal or other intelligent apparatus of face identification functions;Moreover, Upgrading is simple, configures convenient, plug and play, using being easy, conveniently, does not need user with very strong software development capabilities, knows Other result uses encryption method, accurate, safe and reliable.Using dual camera scheme solve In vivo detection problem, can prevent and The forgery for resisting photos and videos logs in means, and recognition of face is enabled really safely to be used in Internet scene.
Detailed description of the invention
Fig. 1 is face identification device structure composition schematic diagram of the present invention.
Fig. 2 is the recognition methods operating procedure flow chart of face identification device of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made with reference to the accompanying drawing further Detailed description.
Referring to Fig. 1, introduce the structure composition of face identification device of the present invention: the device is directly connected with host or terminal It connects, has the function of the identification facial image to work independently, the identity to confirm the facial image.The face identification device is equipped with Four building blocks: dual camera, face sample data storehouse memorizer, facial recognition processor module and communication module.Wherein:
Dual camera (i.e. visible light camera and near-infrared camera), be respectively used to obtain face visible radiograph and Near-infrared photo confirms the identity of each facial image for carrying out Face datection and recognition of face.The visible radiograph of face It can be used for cooperating with near-infrared photo, together for In vivo detection and judgement.
Face sample data storehouse memorizer, the face characteristic for storing facial image and/or being extracted from facial image Data and its identity data are called for facial recognition processor module and are matched, and carry out Face datection and recognition of face, really Recognize the identity of each facial image.
Facial recognition processor module, be responsible for receive dual camera transmission come human face photo, then with face sample data The facial image stored in storehouse memorizer and/or the face characteristic data extracted from facial image carry out matching detection, to sentence The disconnected identity for confirming the facial image;And it will test judging result and be sent to host or terminal via communication module;It is equipped with: face Detection, recognition of face, In vivo detection, private key encryption and receiving host control signal and information totally five units.This five lists The function of member is respectively described below:
Face datection unit is responsible for receiving the photo from visible light and/or near infrared light dual camera, and in the photo Middle searching will test result and be sent to face identification unit with after detection face location.
Face identification unit, for being stored respectively with face sample database to the facial image from Face datection unit The facial image stored in device and/or the face characteristic data extracted from facial image are matched, to identify and judge quilt The identity information of the facial image of detection, and private key encryption unit is sent by recognition result.
In vivo detection unit is responsible for receiving the visible radiograph and near-infrared photo of the face that dual camera transmits respectively, For screening whether the facial image in the photo is true living person, the mistake logged in photo and/or video is prevented, and will inspection It surveys result and is sent to private key encryption unit.
Private key encryption unit is responsible for the testing result to recognition result and In vivo detection unit from face identification unit After being encrypted respectively, then via communication module pass to host.
Receiving host controls signal and information unit, responsible receiving host sends the face identification device to including people Face photo image quality assess feedback information, human face photo exposure parameter modification instruction, human face photo image storage parameter, The face for its own storage that the various control signals and host of the configuration mode instruction of facial image sample database are passed back Image and/or the face characteristic data extracted from facial image and its identity information, for regulating and controlling the face identification device Operating status.
Communication module is responsible for the information exchange of the face identification device and host or terminal;Equipped with include USB, serial ports and One or more interfaces in spi bus, use the mode of being directly connected to connect host or terminal, so as to have distinct interface Various hosts or terminal can connect the device and have face identification functions.
Face identification device of the present invention also select to be equipped with supply be not equipped with the host of display or terminal uses two Mark component: an indicator light and a key are used for option and installment facial image: if when configuring face sample database, Indicator light is bright, shows that the ongoing Face datection of the device and recognition of face are working properly;Pressing keys at this time will just need Current face's figure image of storage and/or the face characteristic data extracted from facial image and its identity information are recorded in Face sample data storehouse memorizer.
The structure composition with the host of face identification device cooperating of the present invention or terminal is also illustrated in Fig. 1: it is extremely It is equipped with the face sample database of host less, sends information unit, public key decryptions unit and recognition of face to face identification device As a result receiving unit totally four components.
For face identification device of the present invention in addition to being directly connected with host or terminal, constituting has the identification people to work independently Face image, identity to confirm the facial image functional device other than, additionally it is possible to be directly mounted at the interior of electrical Household appliance In portion and/or shell, the controlling intelligent household appliances with recognition of face control function for being integrally formed;Namely only set in advance Fixed personnel could use the controlling intelligent household appliances (such as: refrigerator, air-conditioning, TV etc.).
Referring to fig. 2, the following concrete operation step of the recognition methods of face identification device of the present invention is introduced:
Step 1, configure: face identification device is directly connected to host or terminal, is reconfigured the face of face sample database Image and/or the face characteristic data extracted from facial image and its identity information, will also configure various preset parameters. The step 1 includes following operation content:
(11) face identification device is directly connected to lead with wired connection mode (selecting USB interface, serial ports or spi bus) Machine.
(12) host lookup and external equipment is added, meanwhile, host-initiated runs the drive module of face identification device.
(13) host is the exposure parameter that face identification device configured or deployed photograph:
Host configures exposure parameter according to default parameters, and shoots human face photo with the exposure parameter, then by user's human eye The shooting quality assessment result or host that this film,fault is directly obtained from display use quality evaluation operation to the people Face photo assesses picture quality, then according to assessment result, respectively in different light environment redistributions and the corresponding exposure of setting Optical parameter.
(14) Selection of chiller configures face sample database using following two kinds of modeling patterns.
(A) modeling pattern of facial image is directly imported from host: host first directly builds stored facial image The corresponding relationship of vertical face and identity, then the face sample database that these information batch imports the face identification device is stored Device.
(B) modeling pattern of face identification device shooting facial image: the practical station of related personnel is allowed to image in the device Before head, first starts visible image capturing head progress face and take pictures;User determines to choose whether to save to work as by host display observation The preceding human face photo image shot every time, then storage parameter is arranged determines and stores the facial image and/or from facial image The face characteristic data of extraction distribute identification information in face sample database.It should be noted that everyone Face is stored with multiple facial images as template.
In modeling pattern (B), if host or terminal do not have display, which adds by apolegamy Indicator light and key execute the operation for face sample database of independently taking pictures, configure: when Face datection and recognition of face work just Chang Shi, indicator light are bright;It presses the button at this time, the face characteristic for storing current face picture and/or being extracted from facial image Data and its identity information enter face sample database.
Step 2, identify: face identification device carries out recognition of face and In vivo detection.The step 2 includes in following operation Hold:
(21) personnel to be identified stand before dual camera, and face identification device starts visible image capturing head and/or close red Outer camera shoots the visible radiograph and/or near infrared light photo of the face;
(22) the visible radiograph of face and/or near infrared light photo are sent to Face datection unit, Face datection unit After calculating and obtaining the face location frame in two kinds of photos, then give the facial image box extracted to recognition of face list Member;Meanwhile two kinds of facial images are sent to In vivo detection unit.
(23) face identification unit recognizes facial image box, while with the face figure in face sample database Picture and/or the face characteristic data extracted from facial image carry out matching comparison, find the corresponding identity letter of the facial image Whether breath is located in face sample database;If obtaining the identity information of the face, executing subsequent step (24);If Do not exist, then returns to the face not in the testing result of face sample database, terminate the step operation;
(24) it after In vivo detection unit receives visible images and the near infrared light image of face, lives to the face Judgement is surveyed in physical examination: being screened and is judged whether the human face photo is effective living body photo, prevents the people using photo or video Face forge log in, and to private key encryption unit return whether be real human face identify recognition result.
Step 3, information transmitting and reception: face identification device will test identification result encryption and pass to host or terminal, Host or terminal receive the recognition result and execute corresponding operating.The step 3 includes following operation content:
(31) private key encryption unit is respectively received face identification unit and In vivo detection unit is sent recognition result and After testing result, after encrypting respectively to the facial image and its identity information and biological information, encryption data is broken into together Packet.
(32) this is included the visible light facial image and its identity information and biological information of this identification by communication module Encrypted packet sends host to.
(33) it after host receives the encrypted packet from face identification device, first carries out public and private key verification and is grasped with decryption Make, then by facial image after decryption, including this identification and its identity information (whom is, its identity information and this identification Human face photo image), the testing result (whether being effective true man or invalid photo, video etc.) of In vivo detection The correspondingly received processing module in host is passed to, all so that host executes subsequent corresponding processing operation.

Claims (9)

1. a kind of face identification device, it is characterised in that: the device is connected directly between in host or terminal, has autonomous working Recognize the function of facial image, identity to confirm the facial image;Be equipped with: dual camera, face sample data storehouse memorizer, Facial recognition processor module and communication module totally four building blocks;Wherein:
Dual camera, is visible image capturing head and near-infrared camera, for obtaining the visible radiograph of face and close red respectively Outer photo confirms the identity of each facial image for carrying out Face datection and recognition of face;The visible radiograph of face and close Infrared photograph can also cooperate, together for In vivo detection and judgement;
Face sample data storehouse memorizer, face characteristic data for storing facial image and/or being extracted from facial image, And its identity data, it calls and matches for facial recognition processor module, carry out Face datection and recognition of face, confirmation is each The identity of facial image;There are two types of the configuration modes of the face sample database:
(A) facial image directly imported from host: host first directly establishes face and identity to stored facial image Corresponding relationship, then these information batch is imported into the face sample database of the device;
(B) facial image of face identification device shooting: allow the practical station of related personnel before the device camera, first starting can Light-exposed camera shoots facial image;User chooses whether to save the face figure currently shot every time by host display observation Picture, then storage parameter is arranged determines and stores the facial image and/or the face characteristic data extracted from facial image are in people In face sample database, while distributing identification information;And each face is stored with multiple facial images as template;
Facial recognition processor module, be responsible for receive dual camera transmission come human face photo, then in face sample database The facial image of storage and/or the face characteristic data extracted from facial image carry out matching detection, to judge to confirm the people The identity of face image;And it will test judging result and be sent to host or terminal via communication module;It is equipped with: Face datection, face Identification, In vivo detection, private key encryption and receiving host control signal and information totally five units;
Communication module is responsible for the information exchange function of the device and host or terminal;Equipped with including in USB, serial ports and spi bus One or more interfaces, connect host or terminal with the mode of being directly connected to so that have distinct interface various hosts or Terminal can connect the device and have face identification functions.
2. face identification device according to claim 1, it is characterised in that: five in the facial recognition processor module A Elementary Function is described as follows:
Face datection unit is responsible for receiving the photo from visible light and/or near infrared light dual camera, and is sought in the photo It looks for after detection face location, will test result and be sent to face identification unit;
Face identification unit, for the face stored in facial image and face sample database from Face datection unit Image and/or the face characteristic data extracted from facial image are matched, to identify and judge the detected face figure The identity information of picture;
In vivo detection unit is responsible for receiving the visible radiograph and near-infrared photo of the face that dual camera transmits respectively, is used for Screen whether the facial image in the photo is true living person, the mistake for preventing photo or video from logging in, and will test result hair It send to private key encryption unit;
Private key encryption unit is responsible for carrying out at encryption the testing result from face identification unit and In vivo detection unit respectively After reason, then via communication module pass to host;
Receiving host controls signal and information unit, responsible receiving host sends the device to including human face photo image matter Amount assessment feedback, the modification instruction of human face photo exposure parameter, the storage parameter of human face photo image, facial image sample database Facial image for its own storage that the various control signals and host of configuration mode instruction are passed back and/or from facial image The face characteristic data and its identity information of middle extraction, for regulating and controlling the operating status of the device.
3. face identification device according to claim 1, it is characterised in that: described device, which also selects to be equipped with to supply, does not match Two mark components that the host or terminal of standby display use: indicator light and key are used for option and installment facial image: if matching When setting face sample database, indicator light is bright, shows that the ongoing Face datection of the device and recognition of face are working properly;This When pressing keys, just by the current face's figure image for needing to store and/or the face characteristic data extracted from facial image, with And its identity information is recorded in face sample database.
4. face identification device according to claim 1, it is characterised in that: described device is directly mounted at household electrical appliance dress It sets, the controlling intelligent household appliances with recognition of face control function for being integrally formed.
5. a kind of recognition methods using face identification device described in claim 1, it is characterised in that: the method includes under Column operating procedure:
Step 1, face identification device is directly connected to host or terminal, be reconfigured face sample database facial image and/or The face characteristic data extracted from facial image and its identity information, will also configure various preset parameters;
Step 2, face identification device carries out recognition of face and In vivo detection;
Step 3, face identification device will test identification result encryption and pass to host or terminal, and host or terminal receive the identification As a result corresponding operating is executed.
6. the recognition methods of face identification device according to claim 5, it is characterised in that: the step 1 includes following Operation content:
(11) face identification device is directly plugged on host using the wired connection mode of USB interface, serial ports or spi bus On;
(12) host lookup and external equipment is added, meanwhile, host-initiated runs the drive module of face identification device;
(13) host is the exposure parameter that face identification device configured or deployed photograph:
Host configures exposure parameter according to default parameters, and shoots human face photo with the exposure parameter, then direct by user's human eye The shooting quality assessment result or host that this film,fault is obtained from display shine the face using quality evaluation operation Piece assesses picture quality, then according to assessment result, respectively in different light environment redistributions and the corresponding exposure ginseng of setting Number;
(14) Selection of chiller models face sample database using described two configuration modes.
7. the recognition methods of face identification device according to claim 6, it is characterised in that: in the configuration mode (B), If host or terminal do not have display, the indicator light and key which adds by apolegamy execute independent clap According to, configuration face sample database operation: when Face datection and recognition of face working properly, indicator light is bright;It presses at this time Key, stores current face picture and/or the face characteristic data extracted from facial image and its identity information enter Face sample database.
8. the recognition methods of face identification device according to claim 5, it is characterised in that: the step 2 includes following Operation content:
(21) personnel to be identified stand before dual camera, and face identification device starting visible image capturing head and/or near-infrared are taken the photograph As head shoots the visible radiograph and/or near infrared light photo of the face;
(22) the visible radiograph of face and/or near infrared light photo are sent to Face datection unit, Face datection unit calculates And after obtaining the face location frame in two kinds of photos, then give the facial image box extracted to face identification unit; Meanwhile two kinds of facial images are sent to In vivo detection unit;
(23) face identification unit recognizes facial image box, while with the facial image in face sample database And/or the face characteristic data extracted from facial image carry out matching comparison, find the corresponding identity information of the facial image Whether it is located in face sample database;If obtaining the identity information of the face, executing subsequent step (24);If no The face is then being returned not in the testing result of face sample database, is terminating the step operation;
(24) after In vivo detection unit receives visible images and the near infrared light image of face, living body inspection is carried out to the face It surveys judgement: screening and judge whether the human face photo is effective living body photo, prevent pseudo- using the face of photo or video Make login, and whether return to private key encryption unit is recognition result that real human face identifies.
9. the recognition methods of face identification device according to claim 5, it is characterised in that: the step 3 includes following Operation content:
(31) after the testing result that private key encryption unit receives face identification unit and In vivo detection unit is sent respectively, to this After facial image and its identity information and biological information are encrypted respectively, encrypted packet is broken into together;
(32) communication module by this include this identification visible light facial image and its identity information and biological information encryption Data packet sends host to;
(33) after host receives the encrypted packet from face identification device, public and private key verification and decryption oprerations are first carried out, The recognition result of facial image after decryption, including this identification and its identity information, In vivo detection is all passed into master again Correspondingly received processing module in machine, so that host executes subsequent corresponding processing operation.
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