Abstract: A condition based method that selects an appropriate approach among various iris and ocular image recognition algorithms for matching periocular images of a probe and target as a function of quality of images to obtain robust matching even under non-ideal acquisition scenarios.

Abstract: A system using face and iris image capture for recognition of people. The system may have wide field-of-view, medium field-of-view and narrow field-of-view cameras to capture images of a scene of people, faces and irises for processing and recognition. Matching of the face and iris images with images of a database may be a basis for recognition and identification of a subject person.

Abstract: An encoding system for an iris recognition system. In particular, it presents a robust encoding method of the iris textures to compress the iris pixel information into few bits that constitute the iris barcode to be stored or matched against database templates of same form. The iris encoding system is relied on to extract key bits of information under various conditions of capture, such as illumination, obscuration or eye illuminations variations.

Abstract: A method and computer product are presented for identifying a subject by biometric analysis of an eye. First, an image of the iris of a subject to be identified is acquired. Texture enhancements may be done to the image as desired, but are not necessary. Next, the iris image is radially segmented into a selected number of radial segments, for example 200 segments, each segment representing 1.8° of the iris scan. After segmenting, each radial segment is analyzed, and the peaks and valleys of color intensity are detected in the iris radial segment. These detected peaks and valleys are mathematically transformed into a data set used to construct a template. The template represents the subject's scanned and analyzed iris, being constructed of each transformed data set from each of the radial segments. After construction, this template may be stored in a database, or used for matching purposes if the subject is already registered in the database.

Abstract: Systems and methods for recognizing a location of a target are provided. One system includes a camera configured to generate first data representing an object resembling the target, a memory storing second data representing a template of the target, and a processor. The processor is configured to receive the first data and the second data, and determine that the object is the target if the object matches the template within a predetermined percentage error. A method includes receiving first data representing an object resembling the target, receiving second data representing a template of the target, and determining that the object is the target if the object matches the template within a predetermined percentage error. Also provided are computer-readable mediums including processor instructions for executing the above method.

Abstract: A system for one dimensional segmentation of an iris of an eye into a map of the iris and classification of the map into unaffected areas and affected areas. Also, the system may provide for regular shape fitting of the areas for normalization and identifying the unaffected areas as symmetric segments. Further, the system may assign weights to the unaffected areas and the affected areas of the map of the iris and an enrolled map of an iris and their corresponding bins for matching purposes.

Abstract: Methods and apparatus are provided for detecting and tracking a target. Images are captured from a field of view by at least two cameras mounted on one or more platforms. These images are analyzed to identify landmarks with the images which can be used to track the targets position from frame to frame. The images are fused (merged) with information about the target or platform position from at least one sensor to detect and track the target. The targets position with respect to the position of the platform is displayed or the position of the platform relative to the target is displayed.

Abstract: A condition based method that selects an appropriate approach among various iris and ocular image recognition algorithms for matching periocular images of a probe and target as a function of quality of images to obtain robust matching even under non-ideal acquisition scenarios.

Abstract: An encoding system for an iris recognition system. In particular, it presents a robust encoding method of the iris textures to compress the iris pixel information into few bits that constitute the iris barcode to be stored or matched against database templates of same form. The iris encoding system is relied on to extract key bits of information under various conditions of capture, such as illumination, obscuration or eye illuminations variations.

Abstract: A system for finding and providing images of eyes acceptable for review, recordation, analysis, segmentation, mapping, normalization, feature extraction, encoding, storage, enrollment, indexing, matching, and/or the like. The system may acquire images of the candidates run them through a contrast filter. The images may be ranked and a number of candidates may be extracted for a list from where a candidate may be selected. Metrics of the eyes may be measured and their profiles evaluated. Also, the spacing between a pair of eyes may be evaluated to confirm the pair's validity. Eye images that do not measure up to certain standards may be discarded and new ones may be selected.

Abstract: An iris recognition system implementing image quality metrics to assess the quality of an acquired eye image for reliable operation. Images with low image quality may be rejected or flagged based upon the application. The image quality may be determined with a preprocessing module in the recognition system. The processing may be configured based on a quality assessment.

Abstract: An encoding system for an iris recognition system. In particular, it presents a robust encoding method of the iris textures to compress the iris pixel information into few bits that constitute the iris barcode to be stored or matched against database templates of same form. The iris encoding system is relied on to extract key bits of information under various conditions of capture, such as illumination, obscuration or eye illuminations variations.

Abstract: A system and method for fusing sensor data and synthetic data to form an integrated image are described. An image registration process is used to fuse the images. The image registration process is performed on gradients of a landmark image. The gradients are extracted from both sensor and synthetic datasets for the landmark image. Using the image gradient, a center of mass for each of the gradient's curves is calculated. By solving a minimization problem to reduce error, a desired transformation operator can be obtained to match the sensor image to the synthetic image.

Abstract: Methods and apparatus are provided for locating a runway by detecting an object (or blob) within data representing a region of interest provided by a vision sensor. The vertices of the object are determined by finding points on the contour of the object nearest for the four corners of the region of interest. The runway can then be identified to the pilot of the aircraft by extending lines between the vertices to identify the location of the runway.

Abstract: Systems and methods for determining whether a region of interest (ROI) includes a runway are provided. One system includes a camera for capturing an image of the ROI, an analysis module for generating a binary large object (BLOB) of at least a portion of the ROI, and a synthetic vision system including a template of the runway. The system further includes a segmentation module for determining if the ROI includes the runway based on a comparison of the template and the BLOB. One method includes the steps of identifying a position for each corner on the BLOB and forming a polygon on the BLOB based on the position of each corner. The method further includes the step of determining that the BLOB represents the runway based on a comparison of the polygon and a template of the runway. Also provided are computer-readable mediums storing instructions for performing the above method.

Abstract: A method and system for indexing and searching a database of iris images having a system to expedite a process of matching a subject to millions (more or less) of templates within a database is disclosed. The system may progressively match an iris image template to an iris template in a database by progressing from a top layer of the database to a lower layer of the database. Such matching or retrieval may use a subject code as a query or probe and then find a similarity measure for the features of codes or templates in the database. A multi-stage hierarchal clustering process may be used to compress codes and/or templates.

Abstract: An identification method includes acquiring an image of an eye, approximating the center of the pupil, using the approximated center of the pupil as the origin of a polar coordinate system, segmenting the image of an iris portion of the eye along a radial at an angle, and normalizing a number of data points from the iris portion along the radial at an angle.

Abstract: A system for one dimensional segmentation of an iris of an eye into a map of the iris and classification of the map into unaffected areas and affected areas. Also, the system may provide for regular shape fitting of the areas for normalization and identifying the unaffected areas as symmetric segments. Further, the system may assign weights to the unaffected areas and the affected areas of the map of the iris and an enrolled map of an iris and their corresponding bins for matching purposes.

Abstract: A system for one dimensional segmentation of an iris of an eye into a map of the iris and classification of the map into unaffected areas and affected areas. Also, the system may provide for regular shape fitting of the areas for normalization and identifying the unaffected areas as symmetric segments. Further, the system may assign weights to the unaffected areas and the affected areas of the map of the iris and an enrolled map of an iris and their corresponding bins for matching purposes.

Abstract: Systems and methods for recognizing a location of a target are provided. One system includes a camera configured to generate first data representing an object resembling the target, a memory storing second data representing a template of the target, and a processor. The processor is configured to receive the first data and the second data, and determine that the object is the target if the object matches the template within a predetermined percentage error. A method includes receiving first data representing an object resembling the target, receiving second data representing a template of the target, and determining that the object is the target if the object matches the template within a predetermined percentage error. Also provided are computer-readable mediums including processor instructions for executing the above method.