394 results about "Finger vein recognition" patented technology

An imaging system for imaging a fingerprint operates in at least two different modes to provide both finger recognition and finger navigation applications. A light source illuminates a swipe interface having an elongated sensing area upon which a user swipes a finger. Light reflected from the finger is captured by an optical image sensor as image data representing a sequence of images resulting from motion of the digit over the sensing area of the swipe interface. The captured image data is output by the optical image sensor for processing of the data in one of the at least two different modes.

A personal identification device and method prevent the reduction in the finger vein recognition rate which otherwise occur due to erroneous insertion of a finger by a user not accustomed to operation or insertion of a false finger at low cost. The device includes an imager picking up an image of a finger vein pattern, a light source emitting light adapted to be transmitted through the finger, an image operating unit matches the image, guides indicating the position of picking up the finger image, a detector detecting the contact between the finger and the guides, another light source radiating light reflected from the thick of the finger, a switch which is depressed by the forward end of the finger, a further light source emitting light transmitted through the forward end of the finger, and a light-sensor receiving the light from the further light source through the finger.

The invention provides a fingerprint and finger vein bimodal recognition decision level fusion method. Two modules, namely a fingerprint module and a vein module are included. The fingerprint module and the vein module read fingerprint images and vein images; the read fingerprint images and vein images are subjected to image quality evaluation according to respective image characteristics to acquire quality scores; the fingerprint images and vein images are preprocessed and recognized, wherein the fingerprint recognition adopts a minutiae-based matching method and the vein recognition adopts an improved Hausdorff distance mode, and respective recognition results are obtained; and finally, a weight is designed according to image quality scores of the two modes, and the recognition results are subjected to decision level fusion according to the weight and a final recognition result is obtained. Based on the fact that the performance of the system after fusion is superior to that of a single fingerprint recognition or finger vein recognition system, the method has strong practicability.

The invention discloses a convolutional variational auto-encoder neural network-based finger vein identification method and system. The system comprises an image collection module, an image preprocessing module, an image feature extraction module, an image training module and an image identification module. The identification method comprises the steps of obtaining a finger vein image of a to-be-identified user; performing image preprocessing on finger vein image information, and extracting a finger vein region-of-interest (ROI) image; extracting finger vein feature codes in a finger vein ROIthrough the convolutional variational auto-encoder neural network; and inputting the feature codes to a full connection network for performing identification processing, thereby identifying identity information of the to-be-identified user. The finger vein features can be effectively extracted; the noise redundancy is improved; and the identification precision of the finger vein identification system is remarkably improved.

The invention provides a finger vein identification method and system based on a convolutional neural network. The method comprises that a finger vein image which is registered originally is collected; the originally registered finger vein image is processed, and a finger vein ROI (Region of Interest) image is extracted from the finger vein image; a finger vein depth feature in a finger vein ROI is extracted via the convolutional neural network, and input to a support vector machine for classification, and further a finger vein enhanced image is obtained; binarization is carried out on the enhanced image to obtain a finger vein feature image; and a model is used to extract features of the pre-identified finger vein image, and the features are matched to realize identity authentication. According to the invention, the finger vein features can be extracted effectively, and the identification precision of the finger vein identification system is improved obviously.

The invention relates to a safety system for logging in a VPN. The VPN is a virtual private network accessed by a remote user through a plurality of ways, and comprises a client unit and a VPN gateway unit, wherein the client unit is integrated with a biological feature acquisition device; the VPN gateway unit is provided with an authentication server which adopts a standard RADIUS protocol and is used for receiving an identity authentication and a charging request from a gateway and feeding back a result to the VPN gateway unit; and the authentication server is provided with a biological feature verification module which is used for generating a user biological feature value and comparing the generated feature value with a template feature value in a storage device to verify the identity. The safety system adopts a biological feature recognition technique such as a fingerprint recognition technique, a face recognition technique, a finger vein recognition technique or an iris recognition technique which is applied to the existing VPN system to ensure the true identity of a user connected to an internal network of an enterprise and improve the safety.

The invention discloses a finger vein recognition and safety authentication method, a terminal and a system. The finger vein recognition and safety authentication method comprises a collection step, that is, information of a vein image of the finger part is collected, and encryption is performed on the vein image; an image processing step; a feature extraction step, that is, detail point feature extraction and storage are performed on the vein image conforming to quality evaluation requirements; and feature point matching step, that is, stored vein image detail point features are taken, comparative analysis is performed on the stored vein image detail point features and a vein image to be detected, detail point position and angle information is compared, a matching operation is completed,and a result is outputted. Meanwhile, the invention further comprises a finger vein recognition and safety authentication terminal and a system. According to the invention, a series of image processing and feature extracting operations are performed on the collected finger vein image, so that the finally recognized vein image is enabled to be accurate and clear, and the accuracy and the response speed of the whole finger vein recognition are effectively enhanced. Meanwhile, encryption processing is performed on the vein image, so that the confidentiality of the whole recognition system is improved, and the system is enabled to be safer and more reliable.

The invention discloses a finger vein recognition method fusing local features and global features. At present, a number of vein recognition methods adopt the local features of a vein image, so that the recognition precision of the vein recognition methods is greatly affected by the quality of the image; the phenomena of rejection and false recognition are liable to appear. The finger vein recognition method provided by the invention comprises the following steps: firstly, performing pretreatment operations such as finger area extraction of a read-in finger vein image, binarization and the like; then, according to the point set of extracted detail features, realizing the matching of the local features within a certain angle and a certain radius by virtue of a flexible matching-based local feature recognition module; using a global feature recognition module for vein image recognition to realize the matching of the global features as the global feature recognition module is used for analyzing bidirectional two-dimensional principal components and can better display a two-dimensional image data set on the whole; finally, designing weights according to the correct recognition rates of the two recognition methods, performing decision-level fusion to the results of two classifiers, and taking the fused result as a final recognition result. The method is applied to finger vein recognition.

The invention provides a finger vein villa management system which utilizes a finger vein recognition technology and comprises a high-performance ARM board, a non-contact sensor which utilizes infrared to collect deoxidized hemachrome in a finger of human body, a display screen with a touch screen, a terminal which is composed of wireless transmission devices, a entrance guard control system and relevant personal computer (PC) servers. The high-performance ARM board is an ARM high performance board with a central processing unit (CPU) which is at least above ARM Cortex-A8 and possesses a floating point arithmetic function and an internal memory which is more than 512 mega byte. The high-performance ARM board comprises a universal serial bus (USB) interface, a general purpose input/output (GPIO) interface, a general serial port RS 232, a general serial port RS 485 and a network interface and is connected with the finger vein entrance guard through the USB interface. A card issuer is a PC computer which is connected with an entrance guard controller through the recommend standard (RS) 232 and is connected to a villa management server. The finger vein villa management system utilizes the finger vein recognition technology, possesses a non-contact identity to conduct verification, is high in safety performance and is convenient to use.

The invention provides an intelligent entrance guard system based on fingerprint and finger vein joint recognition. The entrance guard system comprises a power supply management circuit, an electric control lock, an image collection device and an information processing control section, wherein the information processing control section is used for obtaining data and information of images collected in the image collection device, carrying out image algorithm processing on the data of the images and carrying out authentication on a fingerprint image and a finger vein image; the power supply management circuit is electrically connected with the image collection device, the information processing control section and the electric control lock respectively; and the image collection device and the electric control lock are respectively connected with the information processing control section via a signal. According to the intelligent entrance guard system, the accuracy rate and the uniqueness of entrance guard system authentication are ensured by bimodal biological characteristics authentication combining a fingerprint identification technology and a finger vein identification technology, thereby improving the safety, the reliability and the anti-counterfeit property of the entrance guard system, and meanwhile, the entrance guard system disclosed by the invention has multifunctionality, thereby achieving intelligentization of the entrance guard system and improving the user experience.

The present invention discloses a network distribution type fingerprint identification system and a realizing method thereof. The network distribution type fingerprint identification system comprises a central server and at least one fingerprint identifier terminal which are connected through network. The network transmission based on TCP/IP protocol is used as a communication platform. The central server is a computer which is installed with fingerprint obtaining and identifying software and is provided with a database system. Furthermore the central server is connected with a fingerprint collector which is same to the fingerprint identifier terminal through data interface. The fingerprint can be respectively registered on the central server and the fingerprint identifier terminal, and can be transmitted to the corresponding terminal through cable network or wireless network. The remote fingerprint characteristic identification mode or local fingerprint characteristic identification mode is automatically switched according to the self-testing state of network in using. The invention provides the flexibility for registering user, storing and using the fingerprint formwork, and gives attention to the adaptivity in the conditions of cluster application and fault condition of network. Furthermore all data transmissions are processed through enciphering. The security of fingerprint identification technique based on the network communication is further increased.

The invention discloses a finger vein recognition device and method with the living body finger detection function. The device comprises a near-infrared light lamp bank arranged around a finger and further comprises a guide groove located in the middle of the device and guiding the placement position of the finger. A finger placement platform is arranged at the bottom of the guide groove. A camera device for photographing veins is arranged on the lower portion of the platform. A camera window is arranged in the center of the finger placement platform. An optical filter is arranged between a camera of the camera device and the camera window. An infrared pulse wave detection sensor is arranged on or below the finger placement platform. A control module is further arranged in the device, wherein the control module is used for controlling the photographing process, processing photographed data and processing data detected by the infrared pulse wave detection sensor. According to the device and method, pulse waves are detected through the infrared pulse wave detection sensor arranged in the device, then, whether a test object has a living body finger or not is judged, and thus the reliability of finger vein recognition is improved.

The invention provides a finger vein identification method for extracting phase-position and direction features, which comprises the following steps that: filtering the finger vein image, extracting the textural features, matching the features and setting the parameters of two-dimensional Gabor filter; the read-in finger vein original image is firstly filtered by the two-dimensional Gabor filter so as to respectively extract the textural information about the phase position and direction, the textural information is merged on the feature grade to form a code; and finally the improved Hamming distance is used for measuring the similarity between different codes. The method is free from pretreatment and positioning of the vein image, is simple and easy, and favors the extraction of the vein features. Moreover, the method can resist the translation and the rotation, and can rapidly and correctly perform the identification.

The invention discloses a finger vein identification method, which can improve the identification speed. The finger vein identification method comprises the steps of adopting a method of placing and collecting multiple fingers of the same collecting object for multiple times to obtain finger vein images of the collecting object, and preprocessing the finger vein images to obtain sample images; extracting vein characteristics of the sample images; performing principal component analysis PCA operation on the sampling images to obtain a dimensionality reduction vector matrix P1 and a PCA conversion matrix P2; clustering by adopting a K mean value clustering method to obtain J clustering centers by taking each column in the dimensionality reduction vector matrix P1 as one clustering sample. During identification, a conversion vector X' is obtained through multiplying a preprocessed to-be-identified image by P2, the clustering center most similar to X' is found out, and vein characteristics corresponding to partial attribution samples in the clustering center are taken as a comparison basis for being compared with the vein characteristics extracted from the to-be-identified image, so that finger vein identification is realized.

The invention provides a method for extracting finger vein features for matching recognition, which comprises the following steps: (1) collecting finger vein images with an image acquisition device; (2) pre-treating the collected finger vein images, comprising making color images gray, extracting finger areas, eliminating salt-and-pepper noise and gaussian noise respectively with a combined filter, splitting images and performing binaryzation for split images through a local dynamic threshold algorithm, de-noising in an area elimination method, extracting finger vein context images according to finger contour markers, and finally standardizing the sizes of the images to form unified images; (3) extracting finger vein features through two-dimensional linear discriminant analysis algorithms weighted both in the line direction and in the row direction; and (4) carrying out matching and recognition with a nearest classifier. The invention significantly improves the speed of finger vein recognition and achieves stable and high recognition rate.

The present invention discloses a finger vein recognition system comprising an image catching module, an image preprocess module, a feature points calculating module, a feature database, a first comparing module and a second comparing module. The feature points calculating module is connected to the image preprocess module for calculating a set of distances among a plurality of feature points. The first comparing module is connected to the feature points calculating module and the feature database for comparing the set of distances and generating a compared result of feature points. The second comparing module is connected to the image preprocess module, the feature database and the first comparing module for catching a set of vein shape and comparing the set of vein shape with the feature database for generating a compared result of shape similarity. Wherein, the second comparing module combines the compared result of feature points and the compared result of shape similarity for generating a recognized result of the finger vein.

The invention discloses an identity recognition method and a system based on the finger vein characteristics. The method comprises the following steps of preprocessing a read-in finger vein image to obtain a corrected image sample unit; extracting characteristic values of the image sample unit, wherein the characteristic values comprise quality grade, maximum curvature characteristics and mean curvature characteristics, and the quality grade is divided into an excellent grade, an average grade and a poor grade; carrying out matching degree calculation on the characteristic values of the image sample unit and characteristic values of a registered image unit prestored in a database according to a matching strategy so as to carry out identity recognition, wherein the quality grade, the maximum curvature characteristics and the mean curvature characteristics corresponding to the registered image unit are prestored in the database, and the matching strategy is characterized in that the weight and the priority of the matching degree of the maximum curvature characteristics and the mean curvature characteristics are set according to the quality grades of the image sample unit and the registered image unit. According to the identity recognition method and the system based on the finger vein characteristics, the accuracy and the robustness of finger vein recognition are improved, and the finger vein recognition technology can be favorably popularized and applied.

The invention discloses a finger vein recognizing system which belongs to the technical field of biometric identification. The invention further discloses equipment which comprises a finger vein image collecting device, an image processing device and an image recognizing and storing device. The image collecting device is connected with the image processing device through a USB interface, and the image processing device is connected with the mage recognizing and storing device through the USB interface. The finger vein recognizing system comprises two modes: an authentication mode and a recognition mode, wherein, the authentication mode is used for verifying whether a person to be verified is a designated person or not, that is, a user first selects a corresponding user number when the system verification is performed; after finger vein images of the person to be verified are collected, a comparison is made between the finger vein images and the template which is stored in a database and corresponds to the user number, so that whether the user is valid or not can be determined; the recognition mode is used for verifying which registered person the person to be verified is, that is, a comparison is made between finger vein image characteristics of the user and the template of the user in the database; and then a template number with the greatest similarity is found, so as to determine the identity of the person to be verified.

The invention relates to a finger vein recognition device and an implement method thereof. The finger vein recognition device comprises a guide groove, an infrared light source, a shooting module, a comparison module, a power supply circuit, a power supply control circuit, a finger position recognition module and a control module, wherein the power supply control circuit performs power supply control on the power supply circuit; the finger position recognition module is connected with the power supply circuit and used for sensing placing action of the finger in the guide groove; the control module is connected with the infrared light source, the shooting module and the comparison module, and the power supply circuit supplies power to the control module through the power supply control circuit. The finger vein recognition device includes at least either a dormant state or a deep dormant state. The control module controls the infrared light source, the shooting module and the comparison module which are woken by power on to work and acquires and recognizes a vein image of the finger in the guide groove. The implement method is used for implementing the finger vein recognition device. The finger vein recognition device is simple in structure and capable of saving energy and electricity.

The invention discloses a binocular vision-based finger vein three-dimensional identification method and a binocular vision-based finger vein three-dimensional identification device. The device mainly comprises an infrared light source, a light touch switch, a left camera, a right camera, infrared filters, a power supply, an advanced RISC machines (ARM) interface board and a digital signal processing (DSP) plate, wherein the infrared light source, a finger and the left camera and the right camera are positioned on three horizontal planes; the left camera and the right camera are positioned on the two sides of a finger projection line respectively; and the connecting line of the left camera and the right camera is vertical to the finger projection line. The method comprises the following steps of: if that the light touch switch is pressed is detected, operating the left camera and the right camera to acquire the binocular image of the finger, and extracting and matching the three-dimensional characteristics of finger veins based on the binocular vision principle and a scale invariant feature transform (SIFT) operator so as to realize the function of registering or identifying the finger. The method and the device effectively improve the identification rate and security level of finger vein identification equipment.

The invention discloses a small data set finger vein recognition method based on a neural network. The method comprises the following steps: constructing and preprocessing a data set; carrying out data expansion on all types of images by utilizing a data enhancement algorithm; utilizing a convolutional neural network to construct a model suitable for data; training the designed model; acquiring atarget image by using acquisition equipment for preprocessing, and outputting a finger vein feature vector of the preprocessed image through model output; and comparing with a stored finger vein feature vector template to determine the category of the input finger vein. According to the method, through combination of a neural network and data enhancement, features with robustness are extracted; and through Euclidean distance comparison between different image output feature vectors, different types of finger vein images are distinguished according to the size of the distance, so that finger vein recognition can obtain high accuracy on the premise of a small data set.