Abstract: A multimodal biometric identification system captures and processes images of both the iris and the retina for biometric identification. Another multimodal ocular system captures and processes images of the iris and/or the from both eyes of a subject. Biometrics based on data provided by these systems are more accurate and robust than using biometrics that include data from only the iris or only the retina from a single eye. An exemplary embodiment emits photons to the iris and the retina of both eyes, an iris image sensor that captures an image of the iris when the iris reflects the emitted light, a retina image sensor that captures an image of the retina when the retina reflects the emitted light, and a controller that controls the iris and the retina illumination sources, where the captured image of the iris and the captured image of the retina contain biometric data.

Abstract: Methods and apparatuses for detecting and correcting red-eye in an image are provided. In one aspect, red-eye can be detected without detecting faces. Red-eye candidates are identified and eliminated by evaluating a series of statistics, including color, size, shape, distance, etc. A plurality of regions, including an eye region, a pupil region, an iris region, and a sclera region can be associated with each red-eye candidate. Color distribution statistics are computed with respect to the presence of target color, glint, skin, or other-color pixels in the plurality of regions. Red-eye candidates may be paired with other red-eye candidates for further processing. Further statistics may be computed based on the location of the red-eye candidates in the image, and the location of each red-eye candidate relative to other red-eye candidates. Pixels associated with selected red-eye candidates may be color adjusted.

Abstract: Systems, methods and computer-readable media that facilitate matching biometric data to entries in a gallery of biometric data. According to embodiments, a method is provided to match a query comprising biometric data to zero or more of the entries in the gallery. According to this method, a match query is received. The entries in the gallery of biometric data can then be filtered using features of the biometric data to produce a subset of entries that excludes unlikely matches to the query biometric data. A set of candidate entries can be created from the subset of entries where the candidate entries are high probability matches to the query biometric data above a certain pre-determined threshold.

Abstract: The present disclosure is directed towards methods and systems for capturing artifact-free biometric images of an eye. The eye may be in motion and in the presence of partially-reflective eyewear. The method may include acquiring, by a first sensor, a first image of an eye while the eye is illuminated by a first illuminator. The first image may include a region of interest. The first sensor may be disposed at a fixed displacement from the first illuminator and a second sensor. The second sensor may acquire, within a predetermined period of time from the acquisition of the first image, a second image of the eye. The second image may include the region of interest. An image processor may determine if at least one of the first and second images include artifacts arising from one or both of the first illuminator and eyewear, within the region of interest.

Abstract: Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

Abstract: A system and method include decomposing via a computer an ocular region into several filtered images of different orientation and scale, using the computer to combine the decomposed images for each scale, using a computer executed classifier for each scale, matching across different quality images, and using a computer, constructing a matching score by combining the scale scores using adaptively weighted sum for each scale.

Abstract: An authentication apparatus includes: an acquiring section that acquires a piece of biometric authentication information; a controlling section that causes the acquiring section to acquire plural pieces of biometric authentication information and causes to execute a biometric authentication based on the plural pieces of biometric authentication information; a storing section that stores, as reference information, a first one of the plural pieces of biometric authentication information, which is acquired and authenticated precedently among the plural pieces of biometric authentication information; and a discriminating section that determines, based on a degree of similarity between the reference information stored in the storing section and a second one of the plural pieces of biometric authentication information, that authentication is rejected when the degree of similarity exceeds a prescribed degree of similarity.

Abstract: The spectral diversity of the iris can be used as a unique biometric identifier. By careful selection of a number of spectral bands, four or more, the hyper-spectral signature derived from data contained in those bands can distinguish color signatures that are not visually distinguishable in RGB color space to uniquely identify a person. Classification of hyper-spectral signatures requires less spatial resolution than the classification of texture signatures, maybe an order of magnitude or more. This reduces the size of the sensor aperture required at a given range.

Abstract: Various methods and apparatus to detect red eye in a digital image are described. In an embodiment, a method identifies one or more red eye candidate zones within an identified skin region in a digital image. A first red eye candidate zone includes connected regions of pixels of a different color in the digital image than their natural color and exceeds a minimum size. The first red eye candidate zone is determined to be an actual red eye by comparing a red eye candidate score to a detection threshold value.

Abstract: A method and apparatus for providing eye-scan authentication using an adaptive liquid lens are disclosed. For example, in one embodiment, the method receives a request for eye-scan authentication from a mobile endpoint device of a user, wherein the request comprises a first retinal image of the user captured using an adaptive liquid lens of the mobile endpoint device. The method obtains a second retinal image of the user, wherein the second retinal image is a stored retinal image of the user. The method authenticates the first retinal image against the second retinal image. In another embodiment, the method captures a first retinal image of a user via a mobile endpoint device of the user, wherein the mobile endpoint device comprises an adaptive liquid lens. The method then sends a request for eye-scan authentication from the mobile endpoint device over a network, wherein the request comprises the first retinal image.

Abstract: This specification describes technologies relating to biometric authentication based on images of the eye. In general, one aspect of the subject matter described in this specification can be embodied in methods that include obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The method may further include applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.

Abstract: A high security computer system and method that authenticates a user using iris recognition and liveliness detection. The method for authenticating the user to the secure system includes capturing an image of the user's face and generating an iris template from the image. While the iris template is being generated, liveliness verification is performed on the user's face. User access is granted if the iris template matches the enrolled iris template and if the liveness verification demonstrates the user's face is live, and denied if otherwise. The method may optionally silently re-authenticate the user after access is granted to the secure system. The authentication system includes an image capture device for capturing an image, an iris template generation component to generate an iris template from the image, a liveness detection component, and an iris comparison component adapted to compare the iris template to iris templates of previously enrolled users.

Abstract: The present disclosure concerns a method of verifying the presence of a living face in front of a camera (112), the method including: capturing by said camera a sequence of images of a face; detecting a plurality of features of said face in each of said images; measuring parameters associated with said detected features to determine whether each of a plurality of liveness indicators is present in said images; determining whether or not said face is a living face based on the presence in said images of a combination of at least two of said liveness indicators.

Abstract: Disclosed embodiments include a method for retinal image analysis implemented in a medical system with one or more processors comprising the method steps of: (a) locating an optical disk on the retinal images and establishing a plurality of circumferences centered at the disk; (b) detecting a plurality of vessels within a region defined by said circumferences' radii using a crease-based algorithm; (c) extracting a plurality of vessel segments based on a deformable models (snakes) algorithm; and d) automatically classifying the vessels and computing clinical parameters.

Abstract: Object feature points are tracked in a video image, and detected feature points are affine-transformed. Then, it is determined whether the video image is a real object using characteristics of the affine-transformed feature points. Therefore, liveness detection resistant to spoofing can be performed without requiring user intervention and additional hardware.

Abstract: A system, method and program product for providing a reflexive data collection system. A system is provided that includes: a system for defining a set of environmental conditions; a device for automatically implementing the set of environmental conditions; a system for collecting biometric data under the set of environmental conditions; and a system for encoding the biometric data and the set of environmental conditions into a reflexive template.

Abstract: An eye detection system, method, and apparatus are disclosed. The eye detection apparatus includes illuminator, receiver, processor, and memory elements. The illuminator emits radiation at predetermined wavelengths from the eye detection apparatus toward an area of interest. Radiation from the area of interest is detected at the receiver which, in turn, provides sensor data to the processor. The processor is coupled to the illuminator and receiver and controls their respective operations. The processor detects a pattern representative of a human eye in the sensor data and determines coordinates of an object corresponding to the pattern. The memory stores the coordinates of the object. Optionally, the eye detection apparatus communicates the coordinates of the object to a wireless device and directs countermeasures to the object's coordinates in response to commands from the wireless device.

Abstract: An eyelid detection apparatus includes a face image storing means storing a plurality of face images of a subject captured at different timings, a change detecting means detecting changes in each face image caused by blinking after processing the plurality of face images stored by the face image storing means, and an eyelid detecting means detecting a position of an eyelid of the subject based on the changes detected by the change detecting means.

Abstract: An information delivery device interacting with a user's eye, the device comprising an eye characteristic reader for reading at least one characteristic of the user's eye, a retinal projector for projecting information onto the retina, and an eye characteristic processor operative to receive at least one characteristic of the eye and to select the information based at least partly thereupon. A content protection system may comprise a multiplicity of such eye characteristic readers and a content protector receiving said at least one characteristic from such readers and controlling the user population's use of content to be protected based on that at least one characteristic. Related apparatus and methods are also provided.

Abstract: A multispectral iris recognition system includes a multispectral camera adapted to acquire spatially registered iris images simultaneously in at least three wavelengths and a database adapted to store the acquired iris images. A texture analysis section identifies an area within each acquired iris image having a maximum texture at each of the wavelengths. The identified areas are combined to generate an enhanced iris image. Additionally, a visible light iris image is acquired and stored along with a set of transformation mappings in a database. The acquired visible light iris image is modeled in a texture model, which clusters textures from the acquired visible light iris image. A mapping is selected from the database for each of the clusters. The selected mappings are applied to the acquired visible light iris image to generate a Near-Infrared equivalent.

Abstract: Detecting behavioral deviations in members of a cohort group is provided. A member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Ocular metadata associated with the member of the cohort group is generated in real-time. The ocular metadata describes movements of an eye of the member of the cohort group. The ocular metadata is analyzed to identify patterns of ocular movements. In response to the patterns of ocular movements indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest. A person of interest may be subjected to an increased level of monitoring and/or other security measures.

Abstract: A system and method for generating compact iris representations based on a database of iris images includes providing full-length iris codes for iris images in a database, where the full-length iris code includes a plurality of portions corresponding to circumferential rings in an associated iris image. Genuine and imposter score distributions are computed for the full-length iris codes, and code portions are identified that have a contribution that provides separation between imposter and genuine distributions relative to a threshold. A correlation between remaining code portions is measured. A subset of code portions having low correlations within the subset is generated to produce a compact iris representation.

Abstract: A process for extracting iris data for biometric identification includes a thresholding method where the thresholds are selected according to a nonparametric approach that considers the grey scale and does not require classifying pixels as edge or non-edge pixels. An eye image is first acquired, where the eye image has component images including an iris image with an inner boundary and an outer boundary. The eye image has a distribution of grey levels. Component images, such as an iris image or a pupil image, from the eye image are segmented according to the distribution of grey levels. The inner boundary and outer boundary of the iris image are determined from the component images. The iris image within the inner boundary and outer boundary is processed for biometric identification. The component images may be segmented by creating an eye histogram of pixel intensities from the distribution of grey levels.

Abstract: A face recognition system includes: an image input section that acquires a facial image of a user; a database in which a feature value of a part of a face of a registered person is stored; a facial position detection section that detects a position of a part of a face from the facial image of the user; a feature value extraction section that extracts a feature value of the part of the face; and a recognition section that recognizes the user by comparing the feature value of the part of the face which is extracted by the feature value extraction section with the feature value of the part of the face of the registered person stored in the database, in which the user selects the part of the face from which the feature value is extracted.

Abstract: In an image conversion method, a value which reflects the mutual relationship between the classes of pixel patterns each formed from a pixel classified as one of a plurality of classes and peripheral pixels is set as a converted value corresponding to each of the plurality of classes, a pixel of interest is sequentially selected from the input image, and a pixel pattern formed from the selected pixel of interest and a predetermined number of pixels around it is classified as one of the plurality of classes in accordance with a neighboring pattern obtained based on the relationship between the value of the pixel of interest and the values of peripheral pixels located at predetermined relative positions with respect to the pixel of interest. The value of the pixel of interest is converted into a converted value set for a class to which the pixel of interest has been classified.

Abstract: There is disclosed a method in a mobile communications device, wherein the method comprises displaying a main image, selecting an object in the main image, displaying a plurality of object images comprising the selected object, selecting a target object image from the plurality of object images, and displaying a target candidate image associated with the target object image.

Abstract: A method and system include receiving an image to process for an image recognition system, determining a quality of the received image, and creating a point distribution model for an active shape model, wherein the point distribution model has a number of points defining an outline of the image, the number of points being determined as a function of the quality of the image. A further method includes selecting a target local appearance model for fitting a point as a function of the determined quality of the received image to determine the location of the point. Yet a further method includes matching the probe image to a plurality of target images using a quality driven cascade classifier.

Abstract: A system and method include decomposing via a computer an ocular region into several filtered images of different orientation and scale, using the computer to combine the decomposed images for each scale, using a computer executed classifier for each scale, matching across different quality images, and using a computer, constructing a matching score by combining the scale scores using adaptively weighted sum for each scale.

Abstract: Detecting with good precision an eye inside corner position and an eye outside corner position as face feature points even when the eye inside corner and/or the eye outside corner portions are obscured by noise. First eyelid profile modeling is performed with a Bezier curve expressed by a fixed control point P3 indicating an eye inside corner first position detected in an image, a fixed control point P4 indicating an eye outside corner first position, a control point P1 corresponding to an upper eyelid position candidate (first parameter), and a control point P2 corresponding to a lower eyelid position candidate (second parameter).

Abstract: A novel, linear modeling method to model a face recognition algorithm based on the match scores produced by the algorithm. Starting with a distance matrix representing the pair-wise match scores between face images, an iterative stress minimization algorithm is used to obtain an embedding of the distance matrix in a low-dimensional space. A linear transformation used to project new face images into the model space is divided into two sub-transformations: a rigid transformation of face images obtained through principal component analysis of face images and a non-rigid transformation responsible for preserving pair-wise distance relationships between face images. Also provided is a linear indexing method using the linear modeling method to perform the binning or algorithm-specific indexing task with little overhead.

Abstract: A method of biometric authentication based on unique information obtained from a pupil. The method includes: acquiring an image of a pupil and an iris; extracting a pupil region from the image; and generating unique biometric information by extracting a specific pattern of the pupil from the pupil region. The method performs biometric authentication by combining unique information obtained from a pupil region with unique information obtained from an iris region.

Abstract: Biographic data associated with a user is received. Biometric data associated with the user is also received. External data associated with the biographic data and the biometric data is received and a determination is made as to a level of access to grant the user based on the external data. One or more settings associated with a smartcard are configured based on the level of access.

Abstract: A method of detecting a facial image includes pre-processing an image; and detecting a face region from the pre-processed image to create facial records of the detected face region. Further, the method of detecting the facial image includes detecting the facial image by creating coordinates of the face and eyes in the input image by using the facial records.

Abstract: An image pickup apparatus has a placement portion having an opening portion, a finger guide, a wrist guide, and a photographing device provided in the opening portion. When a user's left or right hand is placed on the placement portion, the second joints of a plurality of fingers are placed on the planar surface of the placement section, and the middle finger is positioned by the finger guide. The wrist guide, which is provided on the opposite side of the finger guide on the upper surface of the image pickup apparatus with respect to the opening portion, has a pair of inclined surfaces and, when the palm is placed on the placement portion, the both end sides of the wrist contact the inclined surfaces to be positioned. Further, the wrist guide moves downward so as to keep the palm parallel to the opening plane of the opening portion.

Abstract: The present disclosure relates to a method for locating the iris in an image of an eye, comprising steps of locating the pupil in the image, of detecting positions of intensity steps of pixels located on a line passing through the pupil and transition zones between the iris and the cornea, on either side of the pupil, and of determining the center and the radius of a circle passing through the detected positions of the transitions.

Abstract: A method of biometric recognition is provided. Multiple images of the face or other non-iris image and iris of an individual are acquired. If the multiple images are determined to form an expected sequence of images, the face and iris images are associated together. A single camera preferably acquires both the iris and face images by changing at least one of the zoom, position, or dynamic range of the camera. The dynamic range can be adjusted by at least one of adjusting the gain settings of the camera, adjusting the exposure time, and/or adjusting the illuminator brightness. The expected sequence determination can be made by determining if the accumulated motion vectors of the multiple images is consistent with an expected set of motion vectors and/or ensuring that the iris remains in the field of view of all of the multiple images.

Abstract: A method and system for verifying the continued presence of the same player at a gaming machine is provided. The system comprises a device for continuously obtaining verification data samples, wherein each verification data sample relates to one or more physical features of a first player. A subsequently obtained verification data sample is analyzed to determine whether it is substantially similar to a previously obtained verification data sample. If the subsequent verification data sample is substantially similar to the previously obtained verification data sample, then the system determines that the first player continues to be the same player present at the gaming machine.

Abstract: An imaging unit programmed to reduce specular reflection in a captured image and improve the interpretation of decodable information within the image. The imaging unit is programmed to scan a predetermined region within the image that is susceptible to specular reflection, evaluate the pixel values within the region against a threshold value that is representative of specular reflection, and then replace the pixel value found to represent specular reflection with replacement pixel values that do not corrupt interpretation of the decodable information in the predetermined region. The threshold value and replacement values may be determined on an ad hoc basis and stored in local memory, or calculated for each captured image.

Abstract: A perimeter around a detected object in a frame of image data can be generated in a first coordinate system. The perimeter can be converted from the first coordinate system into a second coordinate system having the same aspect ratio as the first coordinate system. A first metadata entry can include dimensions of image data in the second coordinate system. A second metadata entry can provide a location and dimensions of the converted perimeter in the second coordinate space. Additional metadata can indicate matching objects between frames, position of an object relative to other objects in a frame, a probability that an object is correctly detected, and a total number of objects detected across multiple frames of image data.

Abstract: A method for red-eye detection in an acquired digital image acquiring one or more preview or other reference images without a flash. Any red regions that exist within the one or more reference images are determined. A main image is acquired with a flash of approximately a same scene as the one or more reference images. The main image is analyzed to determine any candidate red eye defect regions that exist within the main image. Any red regions determined to exist within the one or more reference images are compared with any candidate red eye defect regions determined to exist within the main image. Any candidate red eye defect regions within the main image corresponding to red regions determined also to exist within the one or more reference images are removed as candidate red eye defect regions.

Abstract: A method and apparatus for providing eye-scan authentication using an adaptive liquid lens are disclosed. For example, in one embodiment, the method receives a request for eye-scan authentication from a mobile endpoint device of a user, wherein the request comprises a first retinal image of the user captured using an adaptive liquid lens of the mobile endpoint device. The method obtains a second retinal image of the user, wherein the second retinal image is a stored retinal image of the user. The method authenticates the first retinal image against the second retinal image. In another embodiment, the method captures a first retinal image of a user via a mobile endpoint device of the user, wherein the mobile endpoint device comprises an adaptive liquid lens. The method then sends a request for eye-scan authentication from the mobile endpoint device over a network, wherein the request comprises the first retinal image.

Abstract: Embodiments provide an iris scanning apparatus for identifying a subject, employing a wide-angle image collector, and a method thereof. A wide angle camera is employed in the iris scanning apparatus to allow a user to easily locate a small eye region of a subject without having to check back and forth between an image display and the subject's face. The apparatus and method are also capable of measuring the distance to the subject's eye and displaying the distance information on the image display, and informing the user as to whether the eye of the subject is within operating range of the iris scanning apparatus. Also, iris scanning is automatically performed without the user's input when an eye is positioned within operating range, and is not performed if an image captured by the iris scanning apparatus does not contain an eye region, in order to prevent erroneous operation.

Abstract: A system for animal identification includes: an image capture apparatus for obtaining an image of an eye of an animal including a pupil region and an iris region; and a template generation apparatus. The template generation apparatus is for: extracting a set of pixel data from the image, the set of pixel data representing an upper region of interest of the iris region above the pupil region and a lower region of interest of the iris region below the pupil region, the upper region of interest and the lower region of interest have parallel side boundaries that are spaced apart a distance that is substantially independent of a degree of dilation of the pupil region; and transforming the set of pixel data representing the upper region of interest and the lower region of interest into a template of the upper region of interest and the lower region of interest.

Abstract: The invention relates to a system that is used to aid in determining vision correction. The inventive system is characterised in that it combines: a camera which can take animated images of the subject's face along a determined visual axis; a display device which represents the images taken by the camera; an accessory which can be worn by the subject in a fixed manner on the head and which bears a plurality of visual reference marks; means which form the visual reference mark(s) and which can cover at least two determined regions in relation to the camera; and image-analysis means which can analyze the position of the visual reference marks in the images taken by the camera and deduce therefrom the position and spatial orientation of the accessory and, consequently, the subject's head when the subject is looking at a visual target, in order to ascertain information relating to the visual behaviour of the subject when the subject moves the direction in which he/she is looking.

Abstract: When comparing a reference image and a registered image, a reference image is defined as a high-resolution image of the highest resolution and a first low-resolution image is generated on a lower level, and a second low-resolution image is generated on a lower level. Registered images are read one-at-a-time, feature regions are set in the hierarchical images of the registered images, and corresponding regions are found in the reference image through hierarchical searching from the low-resolution image towards the high-resolution image. An evaluation is made as to whether to select the registered image that has been read out, based on a similarity between the low-resolution hierarchical image, for example, a feature region of the hierarchical image of the registered image, and the corresponding region of the hierarchical image of the reference image, to narrow down the registered images to be compared to the reference image.

Abstract: A method of monitoring incapacity of a subject which includes the steps of continuously monitoring eye and eyelid movement of at least one eye of the subject; analyzing eye and eyelid movements to obtain measures of ocular quiescence and the duration of an interval of no eye or eyelid movement; and if the duration of ocular quiescence exceeds a predetermined value providing a potential incapacity warning and requesting a response within a predetermined period, and applying an emergency procedure if no response is made within a predetermined interval.

Abstract: The image analysis system includes a processor and memory and displays an image to a first user. The image analysis system tracks gaze of the first user and collects initial gaze data for the first user. The initial gaze data includes a plurality of gaze points. The image analysis system identifies one or more ignored regions of the image based on a distribution of the gaze data within the image; and displays at least a first subset of the image. The first subset of the image is selected so as to include a respective ignored region of the one or more ignored regions and the first subset of the image is displayed in a manner that draws attention to the respective ignored region. In some embodiments, the ignored region is visually emphasized within the image. In some embodiments, only the first subset of the image is displayed.

Abstract: An extraction-pattern storing unit stores therein information related to a plurality of different extraction patterns for extracting a predetermined number of pixels from pixels surrounding a pixel that is a target for detecting a face part image. A face-part-image detecting unit extracts a pixel using the different extraction patterns stored in the extraction-pattern storing unit, and detects the face part image included in an image using a feature amount of an extracted pixel. A face-image detecting unit detects a face image from the image based on the face part image detected by the face-part-image detecting unit.

Abstract: A method for identifying a person (200) by capturing an image of the iris producing an anamorphic transformation of the image along a horizontal axis and then a vertical axis to code it in the form of one or two models. The model is compared with reference models stored in a database to determine the identity of the person. The acquisition device captures the image of the iris through means of optical deformation to produce the anamorphic transformation of the image and then codes the image into the models.

Abstract: A primarily hand-held or adjustable-mount iris recognition device wherein feedback to the operator is provided by visible illumination or imagery projected onto the face of the subject, as well as an audio signal, while infra-red illumination is projected onto the face of the subject as an illumination source for an iris recognition process. When the device is pointed in the direction of the subject, the infra-red illumination is directed to illuminate primarily the eye region whereas the visible illumination is directed to illuminate primarily other regions including the cheeks. The visible illumination is configured such that the position of the visible illumination on the face indicates to the operator whether the iris recognition device is pointed in the correct direction and at the correct distance for optimal iris recognition.