531 results about "Palm print" patented technology

Method for interacting with a vehicle includes controlling interaction with the vehicle based on receipt of a signal by a component on the vehicle, and generating the signal based on biometric data entered via a portable communications device proximate the vehicle. The entered biometric data may be verified as biometric data of a driver of the vehicle prior to generating the signal. The biometric data may be a fingerprint, a palm print, a hand print, a facial image, and/or a voiceprint, all of which may be obtained using the communications device, e.g., a smartphone. The controlled interaction with the vehicle may be maintaining a brake lockout mechanism coupled to at least one brake of the vehicle in a locked state until the signal is received and/or maintaining at least one door of the vehicle in a locked state until the signal is received.

A system performing secondary verification using only existing apparatuses to accomplish a measure for relief in personal authentication without causing complexity or without increasing cost. The system has a registering apparatus for obtaining data for verification from information inputted using an inputting unit and registering the data. The registering apparatus has a first extracting unit for extracting biometrics characteristic data from the biometrics information obtained by the inputting unit, and registering the biometrics characteristic data as registry biometrics characteristic data for primary verification, and a second extracting unit for extracting data, which is different from the registry biometrics characteristic data, from information inputted using the inputting unit and registering the data as registry data for secondary verification. The system is used for personal authentication using biometrics information such as fingerprint, palm print, finger shape, palm shape, voice, retina, iris, face image, dynamic signature, blood vessel pattern, keystroke, or the like.

The invention discloses an ultra-thin fingerprint and palm print collection device, display equipment capable of collecting fingerprint and palm print, and a fingerprint and palm print collection method, and mainly aims to provide the ultra-thin fingerprint and palm print collection device. The ultra-thin fingerprint and palm print collection device at least comprises a light guide plate, an imaging light source and a collector or a camera shooting assembly, wherein part or all of the upper surface of the light guide plate is a collection area used for bearing a fingerprint; the imaging light source is arranged on the end part of one side of the light guide plate of the corresponding collection area; the collector or the camera shooting assembly is arranged below the light guide plate of the corresponding collection area; and the collector or the camera shooting assembly and the light guide plate are spaced.

In an identifying device for performing personal identification using biometrics information such as an iris, face, blood vessel pattern, auricle, fingerprint, palm print, hand print or the like, in order to surely discriminate a living body from a non-living body and to surely preclude illegal use by impersonation using a forged fingerprint or the like, a biometrics information input section samples/inputs biometrics information for verification as image information from a living body portion relatively moving with respect to this biometrics information input section, and living-body detection surfaces in a living-body detecting means is arranged in contact with or in the proximity to the living body portion being moved with respect to the biometrics information input section so as to input the biometrics information for verification.

A method and system for biometric identification utilizes structured light (e.g., fine grid) that is projected to the target objects (fingers and palm). The image with structured light on the object contours can give 3D information of the objects with resolution to satisfy NIST fingerprint standard. In embodiments, the structured light can be of different color, to reduce the burden of the software processing. To enhance the capture speed, a model with 2D image on “smooth” 3D surface can be used. In this “2.5-D” case, the finest feature of the structured light can be as big as millimeter size. Although grid-structured light can satisfy current requirement of fingerprint and palm print capture standards, in other embodiments, a customized structure based on the initial scan result can give optimal result on the 3D data. This may be useful when higher resolution is desired.

The invention discloses a rapid authentication method based on handshape and palmprint recognition. The method comprises: collecting a hand image and separating handshape and palmprint features from the hand image, using the extracted handshape and palmprint features of a registered user as templates and storing into registration template libraries together with personal identifications of the user; setting a threshold value, and comparing the handshape feature extracted from the shot hand image with the handshape feature in the handshape feature template library; then determining whether identification names are the same, if yes, determining that the user is legal, otherwise, determining by recognizing the palmprint; setting a threshold value, and comparing the palmprint feature extracted from the shot hand image with the palmprint feature in the palmprint feature template library, if comparison of the palmprint features is successful, determining that whether the identification names are the same, if yes, determining that the user is legal, otherwise, determining that the user is counterfeit, and refusing the user. The rapid authentication method based on handshape and palmprint recognition solves the problems that the existing hand multi-feature fusion recognition technology is slow in recognition speed and low in recognition rate, and is rapid in recognition speed, accurate in authentication effect and good in practicability.

Every time to-be-verified biometric is input, the apparatus reflects the degree of fluctuation in the to-be-verified biometric information on narrowing down of registered feature information. After to-be-verified biometric information is input through the a biometric information input unit, the to-be-verified sub-feature information obtaining unit extracts two or more items of sub-feature information from the to-be-verified biometric information. Based on the pieces of to-be-verified sub-feature information, the to-be-verified sub-feature information assessing unit assesses an acquisition stability of each item of to-be-verified sub-feature information. According to the acquisition stability assessment, the registered feature information narrowing unit selects one or more pieces of registered feature information to be subjected to comparison/verification, thereby narrowing down the registered feature information. The apparatus applicable to 1-to-N verification using biometric information such fingerprints, palm prints, iris patterns, facial images, voice patterns, and blood vessel patterns.

This invention relates to digital image process, mode identification and wireless communication technique field and to one mobile id system and method, which uses palm image identification to test id on cell phone or PDA and comprises the following steps: getting palm images; extracting palm characteristics and computing similarity; identifying user; mobile device cameral head is image forming device to extract image characteristics to select local mobile terminal or remote servo.

The apparatus greatly reduces the registered data amount and the verification computation amount required for user verification, in comparison with the verification using image information itself, and also decreases the false verification rate. The apparatus divides a biometric information image into cells, and extracts minutia information as well as cell basic information from the individual cells. After comparison of direction information of the individual cells of the registered data with direction information of the individual cells of the to-be-verified data, thereby aligning the registered fingerprint image and the to-be-verified fingerprint image, the apparatus compares the minutia information of corresponding cells between the registered data and the to-be-verified data to make a match/non-match decision. Such an apparatus is applicable to systems that employ pattern matching type image verification to perform user verification utilizing biometric information such as fingerprints, palm prints, blood vessel patterns, iris patterns, and facial images.

The invention discloses a mobile phone unlocking system and method based on palm image information, mainly solving the problems of easy forgetting and easy cracking in the traditional mobile phone unlocking mechanism. The mobile phone unlocking system comprises a user registering module, a user identity authentication module, a palm information characteristic library, an interaction layer and a screen control module. a user interacts with the user registering module through the interaction module, shoots a new user palm photo, and finds characteristic information of dactylus prints and palm prints to be stored in the palm characteristic information base for registering through extracting an interest region on the palm photo; the user identity authentication module is interacted with the screen control module during unlocking, a camera is automatically started for shooting the palm photo, the palm characteristic information is extracted and is compared with the characteristic information in the palm characteristic information base for matching, unlocking is carried out if the matching is successful, and the locking state is continuously kept if the matching fails. The system and method disclosed by the invention fully utilize the advantages of difficulty in forgetting and counterfeiting and convenience for carrying of biological characteristics, and has the advantages of high safety and good usability.

The invention relates to an identity authentication device adopting palmprint and human face fusion recognition, which comprises an image acquisition module, a main processing module and a memory module, wherein the main processing module further comprises a control unit which is electrically connected with the image acquisition module, a human face recognition unit and a palmprint recognition unit which are respectively connected with the control unit, and the memory module which is respectively connected with the human face recognition unit and the palmprint recognition unit. The image acquisition module is used for time-division shooting of biological characteristic images according to a command of the control unit and sending the shot biological characteristic images to the control unit, and the biological characteristic images comprise a human face image and a palmprint image. The control unit is used for sending the shot images to the corresponding human face recognition unit or the palmprint recognition unit for recognition and judging whether identity authentication passes or not according to the human face recognition result and the palmprint recognition result. The problem of needing two acquisition devices for performing double biological characteristic identity authentication is solved, the safety is high and the cost is low.

A method for identifying persons based on biometric data achieves enhanced security and increased accuracy compared with other systems by distorting one or more biometrics prior to detection and recognition. The method includes detecting a distorted biometric for input into an identification system, comparing the distorted biometric to one or more distortion patterns, and determining an identity of the person based on results of the comparison. The biometric may be an eye pattern, a fingerprint or palm print, a voice print, a handwriting sample, a DNA sample, a facial image, or any other type of characteristic or behavioral attribute of a person. The biometric may be distorted in any one of a variety of ways for comparison to previously enrolled biometrics which have been distorted using the same or similar element. A system and program embodied within a computer-readable medium performs the steps of the method.

A system and method for increasing image resolution in a palm print scanner. The method of the invention requires the synchronization of a nutating mirror with a camera frame sync. A first image is scanned at a first nutation position. The mirror is nutated by a fraction of a pixel amount in one direction. Another image is scanned at a second nutation position. The process of nutating the mirror to a different nutation position and scanning an image is repeated until all sub-pixels needed to increase an image resolution are obtained. All of the sub-pixels obtained are then interlaced to obtain a higher resolution image.

The present invention provides an authenticating apparatus for employing a living-body such as, for example, a fingerprint and a palm print, thereby to make personal authentication, and for purpose of allowing a detection as to whether or not a subject is a living-body to be made securely, thus making it possible to securely identify a non-living body such as, for example, an artificial finger made of gummi, the apparatus comprises and is configured of: an image obtaining means for continuously obtaining images of an integument surface of the living-body, which moves while touching an obtaining plane; and a secretion product detecting means for detecting existence of a secretion product to be secreted from an exocrine gland of the integument surface of the living-body, based upon a plurality of the images obtained continuously by this image obtaining means.

The invention provides a non-contact rapid hand multimodal information fusion identification method, which is characterized by comprising the following steps of: (1) acquiring hand images; (2) positioning key characteristic points of hand shapes; (3) extracting eigenvectors of the hand shapes; (4) positioning a palmprint ROI (region of interest) region and extracting eigenvectors; (5) setting a threshold value and carrying out primary matching of characteristics of the hand shapes to obtain alternative people; and (6) carrying out primary matching on palmprint images of the alternative peopleby a palmprint identification method to provide final judgment. The invention provides the personal identity identification method on the basis of multimodal biological characteristics of the hand shapes and palmprints, which is convenient and rapid to use, has no damage to a human body, cannot spread diseases, has high identification speed and can improve the identification rate and the stability of a system.

The invention provides a near-infrared imaging device and an identification method based on the palm vein and the palm print. Firstly, a palm image is obtained through a near-infrared imaging device, the central subblock sample needed to be processed is extracted, the subblock is inputted into two feature extraction modules: a genus palm print information code extraction and a vein structure extraction, then the two features are respectively matched, each own similarity of the two features is respectively calculated through using different similarity evaluation methods, the optimized weighted array of the genus palm print and the vein vessel structure is obtained according to a training sample, then the two similarities perform the similarity level fusion, then the similarity level after the fusing performs decision-making and comparing according to a scheduled threshold value, and then the final determination is obtained in reference to the fusioned matching. The near-infrared imaging device and the identification method based on the palm vein and the palm print can overcome the disadvantages of less image features and single processing, and has the advantages of improving the identification rate and the stability of the system.

The invention discloses a non-contact type palm print and palm vein recognition system, which comprises an active light source, an image acquisition device, a data transmission controller and a core processing device. The active light source is used for providing visible light and near infrared light for image acquisition, the image acquisition device is used for acquiring palm print images and palm vein images according to reflecting light, which is illuminated onto a palm of a user, of the visual light and the near infrared light, the data transmission controller is used for transmitting the palm print images and the palm vein images to the core processing device, and the core processing device is connected with the data transmission controller, is used for preprocessing the palm print images and the palm vein images, and then realizes feather comparison of preprocessed images and stored reserved samples so as to realize identification. The non-contact type palm print and palm vein recognition system realizes non-contact type palm image acquisition and recognition, improves palm recognition precision, is safe and sanitary and is convenient in use. Besides, energy consumption is saved, and simultaneously, the service life of the system is prolonged.

Techniques are disclosed herein for artificial intelligence machine learning to increase collection of digital livescan fingerprints. According to certain embodiments of the invention, processing parameters can be automatically machine-optimized for processing scan images of fingerprints (and other areas) to increase the amount of detected minutia. The processing parameters can alter and change over time to reflect historical successes and failures of particular optimizations. This allows a fingerprint collection device to learn over time and become more accurate (i.e., more successful at detecting minutia). Additionally, the techniques further include receiving input from a user regarding physical traits of a scanned subject, to further customize the processing parameter optimization. Various other features are provided herein.

The present invention relates to an on-line palmprint and palm vein image identity identification method and a special acquisition instrument thereof. An on-line palmprint and palm vein image acquisition instrument consists of a digital video camera, a visible light source, an infrared light source, astigmatism paper, a single chip microcomputer controller, communication interfaces, a computer, an instrument bracket, an instrument shell, an instrument box and a palm box, wherein, the instrument shell is fixed on the instrument bracket, forming the instrument box in which the digital video camera, the visible light source, the astigmatism paper and the single chip microcomputer controller are arranged; the digital video camera and the single chip microcomputer controller are connected with the computer through the communication interfaces; the palm box is communicated with the instrument box. The instrument of the present invention is used to acquire palmprint images and palm vein images in higher resolution, has the advantages of real-time acquisition as well as nearly simultaneous acquisition of palmprint and palm vein images, and can meet the requirements of on-line identity identification. The image identity identification method of the present invention has better anti-counterfeiting property and higher recognition rate.

The invention provides a palm feature identification method, a palm feature identification device and a storage medium. The palm feature identification method comprises the following steps: after an image collection instruction is received, collecting first image information of a palm in real time, obtaining a binary image of the palm according to the first image information, then obtaining a moving speed of the palm and an inclination angle and distance of the palm relative to the palm feature identification device according to the first image information and the binary image, collecting second image information of the palm when an identifiable condition is satisfied, extracting a palm shape feature, a palm print feature and a palm vein feature of the palm after preprocessing the second image information, and finally performing identification and comparison on the palm shape feature, the palm print feature and the palm vein feature with a registration module recorded in a database. The problem that the identification error rate and the refusal error rate are relatively high caused by the movement and inclination of the palm is avoided, and the stability, robustness and accuracy of the identification are improved.

The invention discloses a method and a device for acquiring an interested area in a palm print image, which belongs to the technical field of digital image processing and mode identification. The method comprises the following steps of: correcting, namely binarizing the palm print image, and correcting a palm in a binary palm print image which is acquired through the binarization to a vertical direction; determining the shape of the palm, namely detecting and classifying the shape of the palm, and determining a palm binary image as a totally-open palm binary image or a totally-closed palm binary image; positioning key points, namely positioning the key points of the palm binary image according to the acquired shape of the palm; and acquiring, namely acquiring the interested area in the palm print image according to the positioned key points. By the method and the device, the interested area in the palm print image in any shape can be acquired, and the interested area in the palm printimage can be quickly and accurately acquired under the condition that the shape of the palm is uncertain.

The invention provides a palm characteristic acquisition method and an identification method, including the steps of collecting the palm image, preprocessing the image, determining the effective area of the palm and extracting the palm characteristic and the like, wherein the effective area of the palm is defined as the inscribed circle closest to the tetradactyle bottom in the inscribed circle smaller than the D times (0.7<=D<=0.85) of the largest inscribed circle radius in the palm area, and the palm characteristic image is obtained through the binarization of the area. After obtaining the palm characteristic image of somebody, the registered palm characteristic image obtained by the same method is compared to determine the matchcing degree, namely processing the identification. The invention can process the collected palm image in the open environment, with no positioner in the non-contact way, under the premise, the palm collection device is simplified, the device is miniaturized, the application range of the identification method based on the palm is enlarged.