CN105023005A - Face recognition apparatus and recognition method thereof - Google Patents
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Abstract
The present invention provides a face recognition apparatus and a recognition method thereof. The apparatus is directly connected to a host or a terminal, and has an independent working function of recognizing a face image so as to confirm the identity of the face image; and the face recognition apparatus is provided with four parts, namely two cameras, a face recognition processor module, a face sample database module and a communication module. The face recognition method comprises three operational steps of: configuration, recognition, and information transmission and receiving. The apparatus is simple in structure, integrally overcomes three defects in the prior art, and is provided with two cameras to solve the uniformity problem of the cameras; and by virtue of the two cameras, the technological bottlenecks of living body detection are solved, so that the face recognition is safe and reliable, and can be actually applied to an internet scene. The host or the terminal only needs to be inserted with the apparatus (or the apparatus is directly installed in the host or the terminal), and then a corresponding key decryption functional module is installed in the host or the terminal to ensure that the identity of face recognition and the result of living body detection can be directly read, thereby achieving real practicability and popularization of a face recognition technology.
Description
Technical field
The present invention relates to a kind of face identification device and recognition methods thereof, belong to the technical field of computer visual image identification.
Background technology
The technology of automatic identification face or equipment, all have huge using value and application market widely in many fields such as public safety, intelligent monitoring, digital identification authentication, ecommerce, multimedia and digital entertainments; Meanwhile, because the subject that the research of recognition of face relates to is numerous, there is important theoretical research and be worth, be subject to national governments, R&D institution and military affairs, safety, the extensive concern of intelligence department and great attention.
Through the research of decades, recognition of face has achieved significant progress and progress.Especially, between last decade, the computer vision research being object with " face " has become that one of crucial importance, research direction is numerous and the science of extensive application prospect and sciemtifec and technical sphere.Wherein, Face datection recognition technology is the front end work that computing machine processes facial image automatically, and how under complex background, the problem processing the human face detection and tracing of various different light, attitude and expression shape change multiterminal has obtained good solution.Current research shows, computing machine has possessed the face function detected in real time in image, and Face datection algorithm has reached higher performance.Be subject to the research also had for recognition of face of extensive concern equally, emerge a lot of research methods and achievement closely during the decade.Can see from the recognition of face evaluation result of various institution and organization, the face identification rate under controlled condition has increased significantly, and this imply that recognition of face will have wide practical use." face " is as a very important research object in computer vision, its achievement in research promotes the progressively realization studying industrialization, and the practical application request that increasing market is many, again more and more higher performance requirement and standard are proposed to the correlative study of " face ".Current awfully hot internet finance also using recognition of face as the trustworthy identification authentication mode of a kind of reliability.Secondly, the face identification functions module of different main frame or terminal operating all needs to carry out corresponding secondary development respectively usually, and this just needs developer to have suitable research and development of software ability.But under many application scenarioss, user does not have software development capabilities, cause the exploitation of the face identification functions module under varying environment also to there is very large problem, limit and apply.Again, it is individual very the key link that In vivo detection function really moves towards practicality for face recognition technology, really can prevent from utilizing photo or video to forge face, vital decisive action is played to the security guarantee in the practical process of recognition of face.
All In vivo detection accurately cannot be really accomplished at present based on the In vivo detection algorithm of single camera.Real reliable, effective biopsy method needs multi-cam to coordinate cooperating operation, but current main frame or terminal be the single camera of an Install and configure often, the bottleneck causing In vivo detection to become restriction face identification functions to apply.In order to solve above-mentioned three existing defects of Face recognition technology, the scientific and technical personnel of many computer industries to study widely and are testing.
Summary of the invention
In view of this, the object of this invention is to provide a kind of face identification device and recognition methods thereof, face identification device of the present invention utilizes the combination of ad hoc functional module and associated components, integration can solve three technology defect in prior art preferably: only configure single camera, need software secondary development and can not reliably confirm and the problem completing In vivo detection, thus achieve the really practical of face recognition technology.
In order to achieve the above object, the invention provides a kind of face identification device, it is characterized in that: this device is connected directly between in main frame or terminal, have work alone identification facial image, to confirm the function of the identity of this facial image; Be provided with: dual camera, recognition of face processor module, face sample data library module and communication module be totally four building blocks; Wherein:
Dual camera, is respectively visible image capturing head and near infrared camera, for obtaining visible ray photo and the near infrared photo of face respectively, for carrying out Face datection and recognition of face, confirms the identity of each facial image; Visible ray photo and the near infrared photo of face can also cooperatively interact, and one is used from In vivo detection and judgement;
Face sample data storehouse memorizer, for the face characteristic data that store facial image and/or extract from facial image and its identity data, call coupling for recognition of face processing module, carry out Face datection and recognition of face, confirm the identity of each facial image;
Recognition of face processor module, be responsible for the human face photo that reception dual camera sends, matching detection is carried out, to judge the identity confirming this facial image again with the facial image that stores in face sample database and/or the face characteristic data extracted from facial image; And detection judged result is sent to main frame or terminal via communication module; Be provided with: Face datection, recognition of face, In vivo detection, encrypted private key and Receiving Host control signal and information is totally five unit;
Communication module, is responsible for the information interaction function of this device and main frame or terminal; Be provided with the one or more interfaces comprised in USB, serial ports and spi bus, it connects main frame or terminal by direct connected mode, can connect this device with the various main frame or terminal that make to possess distinct interface and possess face identification functions.
In order to achieve the above object, present invention also offers a kind of recognition methods adopting face identification device of the present invention, it is characterized in that: described method comprises following operative step:
Step 1, face identification device directly connects main frame or terminal, then the facial image configuring face sample database and/or the face characteristic data extracted from facial image and its identity information, also will configure various preset parameter;
Step 2, face identification device carries out recognition of face and In vivo detection;
Step 3, the encryption of detection and identification result is passed to main frame or terminal by face identification device, and main frame or terminal receive this recognition result and perform corresponding operating.
The application scenario of face identification device of the present invention is very extensive, be applicable to any main frame or terminal needing to possess face identification functions, be almost applicable to following finance, public safety, intelligent monitoring, digital identification authentication, ecommerce and many fields such as digital entertainment, multimedia.Exemplifying several concrete application scenario below: the various cash receiving terminals in mobile payment scene, when performing internet payment, adding the authentication that face identification functions carries out paying party.When ATM withdraws the money, carry out the authentication of remittee.The identification of the gateway of each clearance mouths such as airport, customs, station or unit, school community.
The innovation advantage of face identification device of the present invention is: the structure of this device is simple, innovation, carries dual camera, no longer needs main frame to be equipped with camera, solves the uniformity problem of camera; Meanwhile, rely on dual camera to solve the technical bottleneck of In vivo detection preferably, make recognition of face can be safer, reliable, and be applied to Internet scene veritably.Main frame or terminal only need to plug this device (or being directly installed in main frame or terminal inner), the existing capability module of corresponding secret key decryption is installed again, just directly can read the identification of recognition of face and the result of In vivo detection, make recognition of face enter practical and universalness really, expediently.
In addition, face identification device of the present invention can make to need to possess the various main frames of face identification functions, terminal or other devices and can both upgrade rapidly and be configured to have the main frame of face identification functions, terminal or other intelligent apparatus; And upgrading is simple, it is convenient to configure, plug and play, uses easily, convenient, do not need user to have very strong software development capabilities, recognition result adopts encryption method, accurately, safety, reliable.Utilize dual camera scheme to solve an In vivo detection difficult problem, the forgery that can prevent and resist photo and video logs in means, makes recognition of face really can be used in Internet scene safely.
Accompanying drawing explanation
Fig. 1 is face identification device structure of the present invention composition schematic diagram.
Fig. 2 is the recognition methods operation steps process flow diagram of face identification device of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail.
See Fig. 1, introduce face identification device of the present invention structure composition: this device is directly connected with main frame or terminal, have work alone identification facial image, to confirm the function of the identity of this facial image.This face identification device is provided with four building blocks: dual camera, face sample data storehouse memorizer, recognition of face processor module and communication module.Wherein:
Dual camera (i.e. visible light video camera head and near infrared camera), being respectively used to the visible ray photo and the near infrared photo that obtain face, for carrying out Face datection and recognition of face, confirming the identity of each facial image.The visible ray photo of face and near infrared photo can also be used for cooperatively interacting, and one is used from In vivo detection and judgement.
Face sample data storehouse memorizer, for the face characteristic data that store facial image and/or extract from facial image and its identity data, call coupling for recognition of face processor module, carry out Face datection and recognition of face, confirm the identity of each facial image.
Recognition of face processor module, be responsible for the human face photo that reception dual camera sends, the facial image stored up with face sample data storehouse memorizer internal memory again and/or the face characteristic data extracted from facial image carry out matching detection, to judge the identity confirming this facial image; And detection judged result is sent to main frame or terminal via communication module; Be provided with: Face datection, recognition of face, In vivo detection, encrypted private key and Receiving Host control signal and information is totally five unit.The function of these five unit is respectively described below:
Face datection unit, is responsible for the photo received from visible ray and/or near infrared light dual camera, and finds in this photo and after detection face location, testing result be sent to face identification unit.
Face identification unit, for mating with the facial image stored in face sample data storehouse memorizer and/or the face characteristic data extracted from facial image respectively the facial image from Face datection unit, the identity information of this facial image be detected with Discern and judge, and recognition result is sent to encrypted private key unit.
In vivo detection unit, be responsible for the visible ray photo and the near infrared photo that receive the face that dual camera transmits respectively, whether be true living person for the facial image screened in this photo, prevent the mistake logged in photo and/or video, and testing result is sent to encrypted private key unit.
Encrypted private key unit, is responsible for after being encrypted respectively from the recognition result of face identification unit and the testing result of In vivo detection unit, then passes to main frame via communication module.
Receiving Host control signal and message unit, various control signals that responsible Receiving Host sends this face identification device to, that comprise human face photo image quality measure feedback information, the modify instruction of human face photo exposure parameter, the stored parameter of human face photo image, the configuration mode instruction of facial image sample database, and the facial image himself stored passed back of main frame and/or the face characteristic data extracted from facial image and its identity information, for regulating and controlling the running status of this face identification device.
Communication module, is responsible for the information interaction of this face identification device and main frame or terminal; Be provided with the one or more interfaces comprised in USB, serial ports and spi bus, it adopts direct connected mode to connect main frame or terminal, can connect this device with the various main frame or terminal that make to possess distinct interface and possess face identification functions.
Face identification device of the present invention is also selected to be equipped with supply and is not equipped with the main frame of display or two mark components of terminal use: a pilot lamp and a button, for option and installment facial image: if when configuring face sample database, pilot lamp is bright, show the ongoing Face datection of this device and recognition of face working properly; Now pressing keys, just will need the current face figure image of storage and/or the face characteristic data extracted from facial image and its identity information to be recorded in face sample data storehouse memorizer.
Also illustrate in Fig. 1 and form with the main frame of face identification device cooperating of the present invention or the structure of terminal: its be at least provided with main frame face sample database, send message unit, public key decryptions unit and face recognition result receiving element totally four parts to face identification device.
Face identification device of the present invention is except being directly connected with main frame or terminal, form have work alone identification facial image, with beyond the functional device confirming the identity of this facial image, on the inside that can also directly be installed on electrical Household appliance and/or shell, the controlling intelligent household appliances with recognition of face controlling functions of being integrally formed; The personnel namely only preset could use this controlling intelligent household appliances (such as: refrigerator, air-conditioning, TV etc.).
See Fig. 2, introduce the following concrete operation step of the recognition methods of face identification device of the present invention:
Step 1, configuration: face identification device directly connects main frame or terminal, then the facial image configuring face sample database and/or the face characteristic data extracted from facial image and its identity information, also will configure various preset parameter.This step 1 comprises following content of operation:
(11) in wired connection mode (selecting USB interface, serial ports or spi bus), face identification device is directly connected main frame.
(12) host lookup add external unit, meanwhile, host-initiated runs the driver module of face identification device.
(13) main frame is the exposure parameter that face identification device configuration or allotment are taken a picture:
Main frame configures exposure parameter according to default parameters, and with this exposure parameter shooting human face photo, directly observed the shooting quality assessment result obtaining this film,fault again from display by user's human eye, or main frame adopts quality evaluation computing to this human face photo evaluate image quality, then according to assessment result, respectively in the redistribution of different light environment with arrange corresponding exposure parameter.
(14) Selection of chiller adopts following two kinds of modeling pattern configuration face sample database.
(A) directly import the modeling pattern of facial image from main frame: the corresponding relation of face and identity set up by the main frame first direct facial image to having stored, then these information batches are imported the face sample data storehouse memorizer of this face identification device.
(B) modeling pattern of this face identification device shooting facial image: before allowing related personnel is actual and standing in this device camera, first starts visible image capturing head and carries out face and take pictures; User observes the human face photo image determining to select whether to preserve current each shooting by host display, stored parameter is set again, determine and store this facial image and/or the face characteristic data extracted from facial image in face sample database, distributing identification information simultaneously.It should be noted that, each face stores multiple facial images as template.
In step (B), if when main frame or terminal do not have a display, this face identification device relies on matches the operation that the pilot lamp set up and button perform face sample database of independently taking pictures, configure: when Face datection and recognition of face working properly time, pilot lamp is bright; Now push button, store current face picture and/or the face characteristic data extracted from facial image and its identity information and enter face sample database.
Step 2, identifies: face identification device carries out recognition of face and In vivo detection.This step 2 comprises following content of operation:
(21), before personnel to be identified stand on dual camera, face identification device startup visible image capturing head and/or near infrared camera take visible ray photo and/or the near infrared light photo of this face;
(22) the visible ray photo of face and/or near infrared light photo are delivered to Face datection unit, Face datection unit calculates and after obtaining the face location frame in these two kinds of photos, then gives face identification unit by extracting the facial image square frame obtained; Meanwhile, these two kinds of facial images are delivered to In vivo detection unit.
(23) face identification unit carries out identification to facial image square frame, carry out matching ratio pair with the facial image in face sample database and/or the face characteristic data extracted from facial image simultaneously, find identity information corresponding to this facial image and whether be arranged in face sample database; If, then obtain the identity information of this face, perform subsequent step (24); If not, then return this face not in the testing result of face sample database, terminate this flow operations;
(24) after the In vivo detection unit visible images that receives face and near infrared light image, In vivo detection judgement is carried out to this face: namely screen and judge whether this human face photo is effective live body photo, prevent from the face adopting photo or video from forging to log in, and return to encrypted private key unit to be whether the recognition result of real human face mark.
Step 3, information transmission and reception: detection and identification result is encrypted and passed to main frame or terminal by face identification device, main frame or terminal receive this recognition result and perform corresponding operating.This step 3 comprises following content of operation:
(31), after encrypted private key unit receives the recognition result and testing result that face identification unit and In vivo detection unit send respectively, after this facial image and identity information thereof and biological information are encrypted respectively, encrypted packets is broken into together.
(32) this is comprised this visible ray facial image identified and the encrypted packets of identity information and biological information sends main frame to by communication module.
(33) main frame receives from after the encrypted packets of face identification device, first carry out public and private key to check and decryption oprerations, again by after deciphering, comprise this facial image identified and identity information thereof (whom is, its identity information and this human face photo image identified), whether the testing result of In vivo detection (be effective true man, or invalid photo, video etc.) all pass to corresponding receiving processing module in main frame, operate so that main frame performs follow-up corresponding process.
Claims (9)
1. a face identification device, is characterized in that: this device is connected directly between in main frame or terminal, have work alone identification facial image, to confirm the function of the identity of this facial image; Be provided with: dual camera, face sample data storehouse memorizer, recognition of face processor module and communication module totally four building blocks; Wherein:
Dual camera, being visible image capturing head and near infrared camera, for obtaining visible ray photo and the near infrared photo of face respectively, for carrying out Face datection and recognition of face, confirming the identity of each facial image; Visible ray photo and the near infrared photo of face can also cooperatively interact, and one is used from In vivo detection and judgement;
Face sample data storehouse memorizer, for the face characteristic data that store facial image and/or extract from facial image and its identity data, call coupling for recognition of face processing module, carry out Face datection and recognition of face, confirm the identity of each facial image;
Recognition of face processor module, be responsible for the human face photo that reception dual camera sends, matching detection is carried out, to judge the identity confirming this facial image again with the facial image that stores in face sample database and/or the face characteristic data extracted from facial image; And detection judged result is sent to main frame or terminal via communication module; Be provided with: Face datection, recognition of face, In vivo detection, encrypted private key and Receiving Host control signal and information is totally five unit;
Communication module, is responsible for the information interaction function of this device and main frame or terminal; Be provided with the one or more interfaces comprised in USB, serial ports and spi bus, it connects main frame or terminal by direct connected mode, can connect this device with the various main frame or terminal that make to possess distinct interface and possess face identification functions.
2. face identification device according to claim 1, is characterized in that: five Elementary Functions in described recognition of face processor module are described as follows:
Face datection unit, is responsible for the photo received from visible ray and/or near infrared light dual camera, and finds in this photo and after detection face location, testing result be sent to face identification unit;
Face identification unit, for mating with the facial image stored in face sample database and/or the face characteristic data extracted from facial image the facial image from Face datection unit, the identity information of this facial image be detected with Discern and judge;
In vivo detection unit, be responsible for the visible ray photo and the near infrared photo that receive the face that dual camera transmits respectively, whether be true living person for the facial image screened in this photo, prevent the mistake that photo or video log in, and testing result is sent to encrypted private key unit;
Encrypted private key unit, after being responsible for being encrypted respectively the testing result from face identification unit and In vivo detection unit, then passes to main frame via communication module;
Receiving Host control signal and message unit, various control signals that responsible Receiving Host sends this device to, that comprise human face photo image quality measure feedback, the modify instruction of human face photo exposure parameter, the stored parameter of human face photo image, the configuration mode instruction of facial image Sample Storehouse, and the facial image himself stored passed back of main frame and/or the face characteristic data extracted from facial image and its identity information, for regulating and controlling the running status of this device.
3. face identification device according to claim 1, it is characterized in that: described device is also selected to be equipped with supply and is not equipped with the main frame of display or two mark components of terminal use: pilot lamp and button, for option and installment facial image: if during configuration face sample database, pilot lamp is bright, show the ongoing Face datection of this device and recognition of face working properly; Now pressing keys, just will need the current face figure image of storage and/or the face characteristic data extracted from facial image and its identity information to be recorded in face sample database.
4. face identification device according to claim 1, is characterized in that: described device is directly installed on electrical Household appliance, the controlling intelligent household appliances with recognition of face controlling functions of being integrally formed.
5. adopt a recognition methods for face identification device according to claim 1, it is characterized in that: described method comprises following operative step:
Step 1, face identification device directly connects main frame or terminal, then the facial image configuring face sample database and/or the face characteristic data extracted from facial image and its identity information, also will configure various preset parameter;
Step 2, face identification device carries out recognition of face and In vivo detection;
Step 3, the encryption of detection and identification result is passed to main frame or terminal by face identification device, and main frame or terminal receive this recognition result and perform corresponding operating.
6. the recognition methods of face identification device according to claim 5, is characterized in that: described step 1 comprises following content of operation:
(11) the wired connection mode of USB interface, serial ports or spi bus is adopted by face identification device to be directly plugged on main frame;
(12) host lookup add external unit, meanwhile, host-initiated runs the driver module of face identification device;
(13) main frame is the exposure parameter that face identification device configuration or allotment are taken a picture:
Main frame configures exposure parameter according to default parameters, and with this exposure parameter shooting human face photo, directly observed the shooting quality assessment result obtaining this film,fault again from display by user's human eye, or main frame adopts quality evaluation computing to this human face photo evaluate image quality, then according to assessment result, respectively in the redistribution of different light environment with arrange corresponding exposure parameter;
(14) Selection of chiller adopts following two kinds of modeling pattern configuration face sample database:
(A) directly import facial image from main frame: the corresponding relation of face and identity set up by the main frame first direct facial image to having stored, then these information batches are imported the face sample database of this device;
(B) modeling pattern of this face identification device shooting facial image: before allowing related personnel is actual and standing in this device camera, first starts visible image capturing head and carries out face and take pictures; User observes the human face photo image determining to select whether to preserve current each shooting by host display, stored parameter is set again, determine and store this facial image and/or the face characteristic data extracted from facial image in face sample database, distributing identification information simultaneously; It should be noted that, each face stores multiple facial images as template.
7. the recognition methods of face identification device according to claim 6, it is characterized in that: in described step (B), if when main frame or terminal do not have a display, this face identification device relies on matches the operation that the pilot lamp set up and button perform face sample database of independently taking pictures, configure: when Face datection and recognition of face working properly time, pilot lamp is bright; Now push button, store current face picture and/or the face characteristic data extracted from facial image and its identity information and enter face sample database.
8. the recognition methods of face identification device according to claim 5, is characterized in that: described step 2 comprises following content of operation:
(21), before personnel to be identified stand on dual camera, face identification device startup visible image capturing head and/or near infrared camera take visible ray photo and/or the near infrared light photo of this face;
(22) the visible ray photo of face and/or near infrared light photo are delivered to Face datection unit, Face datection unit calculates and after obtaining the face location frame in these two kinds of photos, then gives face identification unit by extracting the facial image square frame obtained; Meanwhile, these two kinds of facial images are delivered to In vivo detection unit;
(23) face identification unit carries out identification to facial image square frame, carry out matching ratio pair with the facial image in face sample database and/or the face characteristic data extracted from facial image simultaneously, find identity information corresponding to this facial image and whether be arranged in face sample database; If, then obtain the identity information of this face, perform subsequent step (24); If not, then return this face not in the testing result of face sample database, terminate this flow operations;
(24) after the In vivo detection unit visible images that receives face and near infrared light image, In vivo detection judgement is carried out to this face: namely screen and judge whether this human face photo is effective live body photo, prevent from the face adopting photo or video from forging to log in, and return to encrypted private key unit to be whether the recognition result of real human face mark.
9. the recognition methods of face identification device according to claim 5, is characterized in that: described step 3 comprises following content of operation:
(31), after encrypted private key unit receives the testing result that face identification unit and In vivo detection unit send respectively, after this facial image and identity information thereof and biological information are encrypted respectively, encrypted packets is broken into together;
(32) this is comprised this visible ray facial image identified and the encrypted packets of identity information and biological information sends main frame to by communication module;
(33) main frame receives from after the encrypted packets of face identification device, first carry out public and private key to check and decryption oprerations, again by after deciphering, comprise this facial image identified and identity information thereof, the recognition result of In vivo detection all passes to corresponding receiving processing module in main frame operate so that main frame performs follow-up corresponding process.
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