126 results about "Face registration" patented technology

An image sensor of an electronic camera photoelectrically converts a subject image obtained by a shooting optical system to generate an image signal. A image processing section generates face registration image data and moving image data. A face detecting section detects a face area inside a shooting screen based on the moving image data. A controlling section adjusts shooting parameters of the shooting optical system, depending on a position detected at the face area. A face image generating section cuts out an image of the face area to generate face image data. A face recognizing data generating section extracts feature points of the face of a captured person from a part of the face area of the face registration image data and generates face recognizing data. A recording section records the face recognizing data or face image data.

The invention relates to a personal identification system of permittee with tri-modal biometric characteristic and a control method thereof, wherein the system comprises four parts as follows: a terminal equipment hardware device which is used for personal identification, a terminal management software, a terminal service software and a central service software. The terminal equipment is mainly used for collecting personal credit card information, static fingerprint characteristic image, acoustical signal and face image of video; the terminal management software is mainly used for managing the terminal, registering fingerprints, registering faces, registering phonetic features, collecting credit card information and data analyzing and etc.; the terminal service software is mainly used for comparing fingerprints, voices and face characteristics and providing a personal identification result based on fused three modes; and the central service software is mainly used for accessing the data of fingerprints, voices and faces, providing search services to the terminal equipment and controlling the various service requests which are made by the terminal equipment. The personal identification system provided by the invention has the advantage that the high quality and high reliability personal identification service of permittee can be provided to the user.

To reduce degradation of recognition performance due to eye detection errors during face verification and to overcome a problem in that sufficient data to design an optimum feature classifier cannot be obtained during face registration, a method includes shifting the positions of eyes detected during face registration in predetermined directions by a predetermined distance to generate pairs of new coordinate points of the eyes; normalizing a face image on the basis of each pair of new coordinate points of the eyes; using the results of normalization in teaching a feature classifier, thereby coping with eye detection errors. In addition, two threshold values are used to prevent a database from being updated with a face of an unregistered person and to update the database with a normal client's face image that has been used during the latest face verification.

Disclosed is a face recognition apparatus for previously registering a face image of a person, receiving a moving image in which face identification is intended to be performed, and performing face recognition in the received moving image. The apparatus includes the following elements. A face registration unit registers the face of a person as an image. A face detection unit detects a face in a frame of an input moving image. A face tracking unit tracks the detected face in frames of the input moving image. A face identification unit compares the detected face, which is being tracked by the face tracking unit, with the registered face registered in the face registration unit to identify the face. A stabilization unit stabilizes the result of face identification by the face identification unit.

A system for performing face registration and authentication using face information, and a method thereof. A set of readily distinguishable features for each user is selected at a registration step and only the set of features selected at the registration step is used at a face authentication step, whereby memory use according to unnecessary information and amount of data calculation for face authentication can be reduced. Thus, the present system has an advantage in that identity authentication through face authentication can be performed even under restricted environments of a USB token or smart card with limited resources. The present system further has advantages in that authentication performance is improved, as readily distinguishable feature information is used, and the time for face authentication is reduced, as face authentication is performed using the SVM built by using the optimal set of readily distinguishable features at a training step.

The invention discloses a multi-angle video based face recognition device and method. The multi-angle video based face recognition device comprises a face recognition processing control unit, a recognition channel and at least three cameras which are installed on the recognition channel and connected with the face recognition processing control unit through signals, wherein the at least three cameras comprises a first camera which is arranged right above the recognition channel and used for collecting front face features of a user, at least one second camera which is arranged at the left side of the recognition channel and used for collecting left face features of the user and at least one third camera which is arranged at the right side of the recognition channel and used for collecting right face features of the user. The face recognition method utilizing the multi-angle video based face recognition device comprises face registration and face detection and recognition.

The invention discloses a data transmission system for face recognition, comprising a face registration modeling module, a monitoring list module, an identity authentication module, an identity recognition module, a network interface module and a data query module; the data query module acquires identity information of a customer according to a face searching recognition result. In the data transmission system, a network database and a local data system are effectively combined and one-to-one identity comparison and one-to-more searching comparison are provided, so as to provide a high-efficiency and reliable intelligent identity recognition data system design and management scheme for face recognition of large-scale databases; therefore, a face recognition system has high reliability, high expansibility and high efficiency, can support large scale person-image comparison calculation, can not affect the comparison speed, and simultaneously can effectively prevent the condition that people illegally uses identity cards of other people to carry out illegal criminal activity in public service occasions such as a hotel and the like.

The invention discloses an image automatic screening, query and identification system. The image automatic screening, query and identification system comprises an image input device, a database system, a storage system, a face detection system, a face registration system and a face comparison system. The image input device carries out the processes of real-time video inputting, video playback inputting and photograph batch importing. The database system stores personal associated portrait information including personal certificate information, a certificate photo, a life photo, a group photo and corresponding characteristic values. The storage system stores 3D-modeled portrait information namely the characteristic values and source indication. The face detection system reads an image input by the image input device, carries out face detection and collects a portrait according with modeling conditions. The face registration system carries out face modeling, the modeled face image is from the face detection system, and face modeling information is registered in the storage system. A face identification system carries out characteristic constant comparison retrieval on the portrait information, which is stored in the storage system, in the database system, thereby realizing person querying by persons and finding out the real identity of the person.

The invention provides an automatic noncontact class attendance checking device and an automatic noncontact class attendance checking method high in real-time property and high in accuracy, which aims at solving the problem that the attendance is difficult to checkin the class. The automatic class attendance checking device comprises a chip which is integrated on an ICETEK-DM642-C board card, a device, a camera and a touch screen. An attendance checking processing module is embedded in a FLASH chip and comprises a face detection module, a face characteristic extraction module, a similarity measuring module, a face registration module, an attendance checking module and a communication module. The attendance checking device and the attendance checking method are high in automation degree and capable of greatly improving the class attendance checking efficiency and the class attendance checking effect, alleviating the labor intensity of teachers and improving the teaching management level.

A face recognition and / or verification system including the step of registering a persons actual face wherein an image of the actual face is captured and synthesized to create a plurality of face prototypes, and wherein the face prototypes are stored for later analysis and comparison with a captured image to be recognised or verified.

The invention relates to a human face identification method based on a human face characteristic data mining technology and a device. Through the special system structure design of a human face registration module, a human face identification module and a system updating module and a specific algorithm, effective intra-class registration human face characteristic information volume is increased, thus the method and the device adapt to the change of human face pose and facial expression. Through automatic system updating, identification rejection rate caused by the fact that an environment and a human face change with time is reduced. For the characteristic differences between types of intra-class human faces, the respective classification threshold is mined. The delay rate caused by the fact that the same classification threshold is used and intra-class human face differences are ignored and the identification rejection rate are reduced. The identification efficiency of a system is improved.

An electronic camera comprises an imaging element, an image processing section, a face detecting section, a control section , a face image creating section, or a face recognition data creating section, and a recording section. The imaging element generates an imaging signal by photo-electrically converting the image of an object captured by an imaging optical system. The image processing section creates face registration image data from the image signal sent from the imaging element and creates through image data from the image signal. The face detecting section detects a face region on the imaging screen on the basis of the through image data. The control section adjusts the imaging parameter of the imaging optical system according to the detected position of the face region. The face image creating section cuts out the image of the face region to create face image data. The face recognition data creating section extracts a feature point of the face of the imaged person from the face region of the face registration image data and creates face recognition data according to the feature points. The recording section records the face recognition data or the face image data.

A user interface automatically retrieves the preference of a user when a user interacts with a system by detecting his / her image and matching the user image database. The image database stores the physical features of users of a system, which can differentiate between the users of the system. A user registration method transparently registers user into the image database through clustering using learned distance metric from user images. A method of learning a distance metric identifies pair-wise constraints from data points and maximizes the margin between the distances of a first set of pairs and a second set of pairs, which can be further solved via semi-positive definite programming.

The invention provides a payment method and a payment device which are applied to a server in communication with a clearing station. Human face registration images and gesture registration images corresponding to various users accounts are stored in the server in advance. The payment method includes receiving a payment request which includes price information of goods purchased currently by a customer and customer's human face images and gesture images acquired by the clearing station and is sent from the clearing station; comparing the human face registration images with the customer's humanface image and carrying out human face identification to the human face image according to the comparison result; if human face identification is successful, subjecting the gesture image and the gesture registration image of the user account corresponding to the identified human face image to gesture matching; if gesture matching is successful, then acquiring currency in a certain amount from thetarget user account according to the price information to complete payment, and sending a prompt of payment success to the clearing station after finishing payment. The payment method has the advantages of high safety and high payment efficiency and can improve consumption experiences of customers.

The invention relates to a face retrieval system and method based on deep learning. The method includes the steps: retrieval model training: training a model by a caffe deep learning framework and optimizing model parameters in a gradient descent mode to obtain a retrieval model; face feature extraction: feeding pictures of all people in a training set into a neural network for a feed-forward process and storing output of a first fully connected layer and a second fully connected layer; face registration: sufficiently extracting feature vectors and Hash codes of registrants under different illumination and different postures; face retrieval: extracting Hash codes and feature vectors of face images to be retrieved, comparing the Hash codes and the feature vectors with the pictures in the training set. The most similar face images are obtained by combining coarse retrieval of the Hash codes and fine retrieval of the feature vectors, and corresponding similarity values are outputted.

Disclosed is a face recognition apparatus for previously registering a face image of a person, receiving a moving image in which face identification is intended to be performed, and performing face recognition in the received moving image. The apparatus includes the following elements. A face registration unit registers the face of a person as an image. A face detection unit detects a face in a frame of an input moving image. A face tracking unit tracks the detected face in frames of the input moving image. A face identification unit compares the detected face, which is being tracked by the face tracking unit, with the registered face registered in the face registration unit to identify the face. A stabilization unit stabilizes the result of face identification by the face identification unit.

The invention provides a college student behavior prediction and management system. The system at least comprises a server end, a student face registration terminal, a plurality of daily face scanning terminals, a parent hand-held terminal and a teacher hand-held terminal which are connected through a network. The plurality of daily face scanning terminals are arranged at different function places of a campus. The system is capable of carrying out prediction on student behaviors based on the work attendance data of the function places, prompting parents and teachers to manage the student behaviors in time and ensuring the safe and healthy growing of students.

The invention relates to a face recognition method and device. The method comprises the steps of collecting a face image from multiple angles; respectively detecting a human face in the human face image by using a deep convolutional neural network method; carrying out face registration on the face images at multiple angles by using an affine transformation method; carrying out alignment, extracting face features through rapid analysis, the face features at multiple angles are compared with data in an attendance face information database, whether the face features are personnel in a to-be-attendance face information base or not is judged, system resources are avoided, unnecessary analysis and detection are avoided, non-cooperative face recognition is rapidly carried out, and the recognitionefficiency is improved.

An adjustable scraper blade system for use with disk harrow implements is provided. The adjustable scraper blade system includes a mounting bracket secured at one end to the harrow implement, a scraper blade, and fasteners for selectively fixing the scraper blade in position. The scraper blade includes an arcuate scraping edge and an anchoring aperture defining an axis of pivotation of the scraper blade. It further includes an elongate adjustment slot that defines a range of arcuate adjustment of the scraper blade. The adjustability features of the adjustable scraper blade system facilitate alignment of the scraper blade so its scraping edge can be fixed in aligned face-to-face registration with the disk blade concave surface defining a clearance or gap therebetween of generally constant width.

The invention discloses a face registration system for a face recognition access control device and application of the same to access control. The face registration system comprises an access controlcard, an image acquisition device, a front end recognition processing device, an access control card reader and a background server, wherein the access control card reader is configured to read an access control card identifier in the access control card; the image acquisition device is configured to acquire the face image of a user when the user uses the access control card for the first time; the front end recognition processing device is configured to synchronously processing the face image and the access control card identifier and sending the synchronized face image and access control card identifier to the background server; the background server is used for associating the face image and the access control card identifier synchronous to each other; the front end recognition processing device of an access control system is further connected with an access control module; and the front end recognition processing device performs registration verification on the received face image,and then controls unlocking of the access control device to after verification is passed. With such a design, the face registration system can realize unconscious registration of the faces of users,and has high efficiency and good user experience.

The invention discloses a face recognition method, a neural network training method, a neural network training device and electronic equipment. The method comprises the steps that acquring a first face image through a first camera; extracting a first face feature of the first face image; comparing the first face feature with a pre-stored second face feature to obtain reference similarity, extracting the second face feature through features of a second face image obtained by a second camera, and enabling the second camera and the first camera to belong to different types of cameras; and determining whether the first face feature and the second face feature correspond to the same person according to the reference similarity. The face authentication is facilitated, the camera is not limited during face registration, and the face registration convenience is improved.

A method for a face recognition by a face recognition service server, includes receiving a face image that is photographed from a face registration terminal or a face recognition terminal; detecting a face area of the received face image; and quantifying at least one quality factor for the detected face area in order to determine whether the received face image is suitable as sample image required for face recognition. Further, the method includes selecting the received face image as the sample image required for the face recognition when the quality factor satisfies a predetermined quality criterion.

A video personnel identification method includes establishing a personnel image information registration database; according to the walking trace of an identified person, acquiring monitoring video data of different video monitoring points; acquiring the personnel image information of the identified person according to one frame or multiple continuous frames of the monitoring video data images; according to an image frame fuzzy threshold, acquiring image frames larger than the threshold, and extracting the personnel image information of the identified person according to the acquired image frames; comparing the extracted multiple frame image information comprehensively, and selecting optimal image information to combine so as to acquire final extracted personnel image information; submitting the final extracted personnel image information to a face registration database to compare or register and store. The method has the advantages that the defects that according to the prior art, the personnel identification error rate is high, efficiency is low and persons with changed clothes or shielded faces cannot be identified are solved.

The invention discloses a face registration, a verification method, a face registration system, and an application in access control. The registration system comprises a user terminal, an image acquisition device, a front end recognition processing device, and a background server. The access control is based on the registration system. The front end recognition processing device is also connectedwith an access control module. The registration method comprises: generating a two-dimensional code according to an identity information in a two-dimensional code registration request; collecting theuser face image to associate identity information when the user first uses the two-dimensional code. The verification method is to register the face by using the registration method, and then performface verification by finding whether the face image is associated with the identity information. The design scheme can realize the registration of the user's face without feeling. The design scheme has the following advantages: convenient, fast, high accuracy, comprehensive coverage, and good user experience.

The invention discloses a face recognition login validation system for a Windows system. The face recognition login validation system comprises a face recognition terminal, a login evidence providing program and a user face registration program, wherein the face recognition terminal is used for carrying out face data collection and face recognition on personnel; the login evidence providing program is used for providing an interface for interacting with a user during a system login process, and replacing a system default login entry; the user face registration program is used for registering and managing face data and other information of the user; the face recognition terminal communicates with a computer through a network; after the user collects face template data by the face registration program and the face recognition terminal of the user, the login evidence providing program is used for downloading the face template data of the user into the face recognition terminal during the system login process according to the information input by the user; the user carries out a face recognition on the face recognition terminal; after a successful recognition, the terminal returns success information to the login evidence providing program; and the login evidence providing program permits the user to login the system. According to the system disclosed by the invention, with an invisible light face recognition technology as an authentication mode, the user of the Windows system is validated; and the login safety of the Windows system is ensured.

The invention discloses a face recognizing and tracking system based on non-contact body physiological parameter measurement. The face recognizing and tracking system comprises a web camera, an image acquisition module, a face capture module, a characteristic extraction and face registration module, a face identification module and a face tracking module. A face is detected in a collected image or one frame of video streaming and is separated from background; a face image is subjected to characteristic extraction, and extracted face characteristics are registered; whether the registered face exists within a camera shooting range or not is detected; if the registered face exists within the camera shooting range, the face is automatically tracked and stored when the registered face moves within the camera shooting range; and if the registered face does not exist within the camera shooting range, the registered face is returned and registered, a registration information database is updated. When a plurality of faces simultaneously appear in the camera shooting range, the invention can effectively carry out multi-target face distinguishing and independently registers, identifies and tracks to guarantee that the obtained face information belongs to same person and guarantee the accuracy of body physiological parameters.