51 results about "Iris code" patented technology

A compact image steering and focusing device has a generally rectangular frame containing at least one illuminator and at least one and preferably two cameras and a pan / tilt mirror on a tilting frame. There is a tilt axis through the frame. A tilt motor is attached to the frame to turn the frame about the tilt axis. Another camera is positioned in optical alignment with the pan / tilt mirror. The device can fit behind the cover plate of an automated teller machine. Images from the cameras on the titling frame are used to focus the other camera on one eye of the automated teller machine user to identify the user by iris analysis and comparison to an iris image or iris code on file.

A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.

Disclosed is a method to improve iris recognition success ratio and speed by registering the iris code on location of illuminator. In the present invention, iris codes for a single iris generated as many as the number of a plurality of illuminators are registered on an iris database every area corresponding to the location of the illuminator. The iris codes generated one by one whenever the plurality of illuminators are turned on one by one for recognition are searched on the corresponding areas of the iris database to determine the recognition.

A plurality of iris images of a person to be authenticated in which the positions of extraneous light reflection are respectively different are captured by using an image capturing device. Iris codes, that is, features for authentication, are respectively extracted from the plural iris images, and the plural iris codes thus extracted are respectively compared with a registered iris code, so as to generate a plurality of comparison results. The plural comparison results are integrated to obtain an ultimate comparison score, which is used for the authentication.

In iris authentication, iris regions are extracted from a plurality of images (2a, 2b). The extracted iris regions are subjected to polar coordinate transformation (3a, 3b) and band limitation (4a, 4b). Thereafter, an iris code is generated from the coordinate-transformed, band-limited iris regions (5a, 5b). The iris code is subjected to rotational compensation (6a, 6b). A plurality of resultant iris codes are synthesized into a single iris code by determining the bit value of each bit based on a majority rule (7a, 7b).

In iris authentication, iris regions are extracted from a plurality of images (2a, 2b). The extracted iris regions are subjected to polar coordinate transformation (3a, 3b) and band limitation (4a, 4b). Thereafter, an iris code is generated from the coordinate-transformed, band-limited iris regions (5a, 5b). The iris code is subjected to rotational compensation (6a, 6b). A plurality of resultant iris codes are synthesized into a single iris code by determining the bit value of each bit based on a majority rule (7a, 7b).

A plurality of iris codes are registered for each registrant in an iris database (12) together with pupil diameter-iris diameter ratio R. At the time of authentication, an iris code is obtained from a captured iris image by feature extraction while pupil diameter-iris diameter ratio R is obtained. Ratio R obtained at the time of registration and ratio R obtained at the time of authentication are compared to specify an appropriate iris code from the iris database (12) as an item to be collated before authentication.

A personal authentication method and device capable of creating iris information enabling personal authentication even if the iris image shows light reflection. The personal authentication device comprises an imaging section for imaging an eye of the user, an iris code generating section for generating an iris code from the captured image, a determining section for comparing the iris code with a registered iris code and determining whether or not the iris code agrees with the registered code, a control section for giving an instruction to retry imaging when there is no match, a guiding section for guiding the user so that the position where there is light reflection in the iris in retry-imaging changes, an average calculation image creating section for extracting an iris image from images, if the iris code generated from the image captured by retry-imaging disagrees with the registered iris code and creating an average calculation image produced by averaging the pixel values of the iris image, and an iris code generation instruction section for instructing the iris code generating section to generate an iris code from the average calculation image.

The present invention relates to an iris identification method and system, which divide an iris image, which is acquired for personal identification, into a plurality of equal / unequal and multiscale regions, generate a corresponding code corresponding to the respective regions, organizing codes into a database, generate a code at the time of authentication in the same manner, and identify a person by comparing this code with the codes stored in the database, thus improving identification speed and rate.The present invention provides an iris identification method including iris code registration and iris code authentication, the iris code registration including the steps of acquiring iris images by capturing iris using cameras or receiving image files, generating iris codes from the acquired iris images, and storing the generated iris codes in a database, the iris code authentication including the steps of acquiring an iris image in a manner identical to that of the iris code registration, generating an iris code from the acquired iris image, and identifying the generated iris code by comparing the generated iris code with the iris codes stored in the database, wherein the iris code generation step is performed in such a way as to determine the inner and outer boundaries of an iris region by approximating the inner and outer boundaries with general curves based on actual shapes of the inner and outer boundaries, divide a part or all of a region between the inner and outer boundaries into one or more unit sectors, and generate an iris code corresponding to the respective sectors, and the iris code identification step is performed in such a way as to measure the distances of the generated code to the existing codes stored in the database and determine whether each of the distances falls within a threshold value.

An iris identifying-method based on wavelet transform zero cross presentation includes carrying out binary state treatment on original image based on certain threshold to raise rough positioning precision of pupil, making double-threshold treatment based on external edge rough positioning of iris and carrying out intermediate value filtering to pick up general part of iris effectively, making quick and accurate rough positioning, accurately positioning external edge of iris by utilizing rough positioning result and using wavelet filter to carry out iris coding to effectively pick up information.

A plurality of iris codes are registered for each registrant in an iris database (12) together with pupil diameter-iris diameter ratio R. At the time of authentication, an iris code is obtained from a captured iris image by feature extraction while pupil diameter-iris diameter ratio R is obtained. Ratio R obtained at the time of registration and ratio R obtained at the time of authentication are compared to specify an appropriate iris code from the iris database (12) as an item to be collated before authentication.

A system and method for performing an identity search in a database of iris images for a probe iris image includes generating a full-length iris code and a compact iris code for iris images in a database, and generating a full-length iris code and a compact iris code for a probe iris image. The compact iris code for the probe image is scored against all compact iris codes in the database. A fraction of the database is retained based on score data. The full length iris code for the probe image is scored against all the full length iris codes in the retained portion of the database.

A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.

The invention is applicable to the technical field of iris recognition, and provides a method of carrying out iris recognition through neural networks. The method comprises steps: five neural networks are designed and trained; a sample iris image is photographed through an infrared camera; the center and the radius of the pupil, and the center and the radius of the iris outer boundary are obtained through searching of neural networks from the first to the fourth, and finally, a sample iris code is obtained and saved; a login iris code is obtained; the login iris code is compared with the sample iris code through the fifth neural network to judge whether to be from the same iris living body, and if yes, verification is passed. The neural network technology is applied to iris recognition, searching of the center and the radius of the pupil and the center and the radius of the iris outer boundary, comparison of the iris features and realization of iris login and verification are realized through designing and training the five neural networks, and effects are better than the existing iris recognition technology.

A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.

A method of normalizing a digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of:determining a pupil region in the image as a convex region having a boundary that can only be described by more than five independent parameters;determining, in the image, an outer boundary of the iris; andtransforming an image of a ring shaped iris region that surrounds the pupil region into a coordinate system in which each point of the iris region is described by a first coordinate that indicates the position of the point along the boundary of the pupil and a second coordinate that indicates the distance of the point from said boundary, said second coordinate having a constant value when the point is located on the outer boundary of the iris.

The present invention pertains to a method of generating a normalized digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of:capturing one or more digital images of the eye with a camera;constructing a plurality of imaginary outer iris boundaries in the one or more digital images, based on a known dimension of the outer iris boundary of the eye of a given species of vertebrates; andusing said imaginary boundaries for transforming the one or more digital images into a plurality of normalized iris image that are insensitive to variations in a dimension of a pupil of the eye.

The present invention relates to a method for identifying or authenticating an individual comprising the following steps implemented by a system comprising a storage device storing at least a binary code of a reference iris and a binary code of mask: obtaining an image (101) of an eye of an individual; segmenting the acquired eye image so as to isolate a region containing the texture of the iris and determining an associated mask (102); dividing the region containing the iris texture and the associated mask into N2 concentric rings (103); normalizing the region containing the texture of the iris and the mask of Cartesian coordinates into polar coordinates (104); determining an iris binary code IC with a size equal to N2*P*F and an associated mask bit code IM (105) by applying Gabor filters F to P positions of each ring; mapping at least one ring of the acquired image iris with a ring of the reference iris, so as to minimize a matching distance (HD Viterbi) between the acquired image and the reference image, the matching distance (106) being obtained from the determined iris and stored reference codes and associated mask codes by calculating a sum of distances (Dist) between each of said rings of the iris of the matched acquired image and the ring of the reference iris corresponding thereto, calculating the minimized correspondence distance (107), and identifying or authenticating the individual (108) if the minimized matching distance is less than a predetermined threshold.

A portable iris identification system comprises indication module for obtaining iris image of user when indication module is aligned to eye of user, storage for storing iris image obtained by indication module, image processor for detecting out position of iris in image stored in storage and for using iris code to process said image, and I / O module for transmitting iris image being processed by image processor.

The embodiment of the invention provides an iris recognition device and method for dynamic human eye tracking. The device comprises a processor, an iris image sensor, an iris coding recognition module, a ranging device, a sliding device, a rotating device, an object loading platform and a plurality of image acquisition devices. The iris image sensor is arranged on the rotating device to be rotated with the rotation of the rotating device. The iris image sensor, the iris coding recognition module and the rotating device are mounted on the object loading platform, and the object loading platform is arranged on the sliding device to move with the movement of the sliding device. The device actively adjusts the iris image sensor through the rotating device and the sliding device to track eyes of a use, thereby solving the problem of height self-adaptation, further solving the problem that the traditional iris recognition device requires the user to move the eyes to a designated iris recognition acquisition area, improving the usability of the iris recognition device and enhancing the sense of user experience.

The invention provides an iris recognition start-up control method and a television; the television comprises a start-up management module, an MCU, a camera, a code conversion module, a comparison module and a storage module; wherein the camera is used for taking the iris pattern of user eyes and transmitting the pattern to the code conversion module; the code conversion module is used for converting the iris pattern transmitted by the camera into codes and transmitting the codes to the comparison module; the storage module is used for storing the iris codes of the user in advance; the comparison module is used for comparing the iris codes transmitted by the code conversion module with the iris codes stored in the storage module, searching whether the iris codes of the user is stored in the storage module in advance, and transmitting the comparison result to the MCU; the MCU is used for instructing the start-up management module for start-up according to the comparison result; and the start-up management module is used for controlling the television to start according to the instruction of the MCU.

The present invention pertains to a method of generating a normalized digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of:capturing one or more digital images of the eye with a camera;constructing a plurality of imaginary outer iris boundaries in the one or more digital images, based on a known dimension of the outer iris boundary of the eye of a given species of vertebrates; andusing said imaginary boundaries for transforming the one or more digital images into a plurality of normalized iris image that are insensitive to variations in a dimension of a pupil of the eye.

The present invention is a method of determining the position of the iris of the eyeball in the digital image obtained from the visible part of the user's eyeball, so as to establish a digital image file that fully expresses the texture information of the iris, and the digital image The file is processed to extract the digital texture features of the iris and perform feature encoding, i.e. the iris code, and compare the iris code with the iris codes of the iris of the same eyeball and / or other eyeballs stored in the database to compare the iris code of the iris The iris recognition method for user authentication is described. The method consists of iris image smoothing, iris boundary detection, iris image transformation, iris texture feature extraction, iris feature encoding and recognition methods. The invention can be used in public security systems, can be used on magnetic cards to replace personal identity codes, and can also be used in information systems to improve access security and the like.

The invention discloses a network identity authentication system based on iris recognition. The network identity authentication system comprises an iris information acquisition device, a client and aserver, wherein the client comprises an iris information registration module, an application program interaction module and an identity authentication module; when iris information registration or program login is carried out, the client respectively outputs an iris acquisition instruction to the iris information acquisition device through the iris information registration module or the identity authentication module, and the iris information acquisition device carries out iris information acquisition, coding and encryption; the client is used for transmitting an iris code and a device identification code to the server through the iris information registration module or the identity authentication module. When iris information registration is carried out, the server establishes an iris database; when the program login is carried out, the server carries out iris code matching authentication, and the application program interaction module feeds an identification result back to an application program. The authentication system can quickly and accurately identify the user identity in a network space.

A method of normalizing a digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of:determining a pupil region in the image as a convex region having a boundary that can only be described by more than five independent parameters;determining, in the image, an outer boundary of the iris; andtransforming an image of a ring shaped iris region that surrounds the pupil region into a coordinate system in which each point of the iris region is described by a first coordinate that indicates the position of the point along the boundary of the pupil and a second coordinate that indicates the distance of the point from said boundary, said second coordinate having a constant value when the point is located on the outer boundary of the iris.

The invention provides an encryption method, an encryption system, a decryption method and a decryption system of a picture. The encryption method comprises the steps that when a figure picture is photographed, acquiring an iris image of a figure; extracting iris characteristics from the iris image, and coding to form an iris code; encrypting the figure picture in real time by virtue of the iris code; and storing the figure picture which is encrypted in real time. According to the method, the figure picture is coded by acquiring the iris image, an encryption object is selected on purpose, the real-time encryption of the picture is realized, and the safety is high.

An iris image is obtained by inputting a plurality of images captured by imaging the same eye (S11) and cutting out an iris area (S12). Moreover, a single iris image is obtained (S15) by transforming the coordinate system of the iris images from the rectangular coordinate system to the polar coordinate system (S13), applying rotation compensation (S14), and adding the pixel values while weighting the pixel values for each polar coordinate. An iris code is generated from the obtained single iris image (S16 and S17).

The invention discloses an iris recognition method based on wavelet packet decomposition, and the method comprises the steps: collecting a human eye image, carrying out the iris image preprocessing, obtaining a processed iris image, modulating the diagonal high-frequency information of the wavelet packet decomposition of the iris image into an iris feature code through a threshold value, extracting the iris features, and finally, adopting a Hamming distance classifier to perform classification and matching calculation on iris features, and judging whether the two feature codes are from the same iris or not by calculating the similarity between the current iris feature code and iris codes in an iris template library, so that iris images are classified. The iris features extracted through the iris feature recognition method have good classification performance, so that the iris recognition precision is improved.