Adaptive iris matching using database indexing
First Claim
Patent Images
1. A standoff iris recognition system comprising:
- an iris image acquisition module;
an image quality evaluator connected to the iris image acquisition module; and
an adaptive iris matching module connected to the image quality evaluator and the eye image acquisition module; and
wherein the image quality evaluator determines if an eye image from the iris image acquisition module has a quality which is too low for a non-adaptive iris matching module and is sufficiently high enough for the adaptive iris matching module; and
wherein if the quality is high enough for the adaptive iris matching module, the adaptive iris matching module executes a search and generates a list of possible matches without segmenting a circumferential of an iris of the eye image.
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Abstract
An adaptive iris matching approach for processing images of irises having a quality not sufficient for conventional non-adaptive matching approaches. Visible regions in a radial direction on an iris, without segmenting a circumferential of the iris, may be processed. A boundary of the visible region of the iris may be estimated. An iris map may be constructed with the non-visible portion of the iris masked. The iris map may be at least partially encoded. Partial codes of the iris map may be extracted to index at least portions of a database containing iris information. Irises may be retrieved from the database with an iris code as a query.
413 Citations
18 Claims
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1. A standoff iris recognition system comprising:
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an iris image acquisition module; an image quality evaluator connected to the iris image acquisition module; and an adaptive iris matching module connected to the image quality evaluator and the eye image acquisition module; and wherein the image quality evaluator determines if an eye image from the iris image acquisition module has a quality which is too low for a non-adaptive iris matching module and is sufficiently high enough for the adaptive iris matching module; and wherein if the quality is high enough for the adaptive iris matching module, the adaptive iris matching module executes a search and generates a list of possible matches without segmenting a circumferential of an iris of the eye image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method for standoff iris recognition, comprising:
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segmenting a visible region of an iris, with a model providing a first order estimate of a border segment; extracting associated partial codes of a barcode of the iris to index a smaller population of a whole population; and recovering noisy information in an obscured area by adapting a fitting model that provides best matching bits within the visible region of the iris; wherein; iris dyadic variations are captured by formulating a dynamic encoder that takes into account varying edge points; and an encoding scheme is modified to make use of a dynamic wavelet function wherein a wavelength scalar of the wavelet function varies as a function of an angular variable. - View Dependent Claims (16, 17)
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18. A method for adaptive iris matching, comprising:
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acquiring an image of an iris; evaluating quality of the image; processing a visible region of the iris in the image on a radial direction without segmenting a circumferential of the iris in the image, if the quality is too low for non-adaptive iris matching but high enough for adaptive iris matching; estimating a boundary for the visible region of the iris in the image; constructing an iris map using a rubber sheet model; masking a non-visible region of the iris; encoding the iris map for at least partial comparisons between templates; extracting associated partial codes of an iris code to index a portion of a database; and retrieving a list of two or more possible iris matches from the database with the iris code as a query.
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Specification