Iris and ocular recognition system using trace transforms
First Claim
1. A standoff ocular recognition system comprising:
- an eye image acquisition module;
an image quality evaluation section connected to the eye image acquisition module;
an eye recognition section connected to the image quality evaluation section; and
a matcher module connected to the eye recognition section; and
wherein the eye recognition section comprises a trace transform module for converting eye images into trace space; and
wherein the image quality evaluation section is configured to determine if an eye image meets a threshold of quality metrics and eye images deemed not to meet the threshold of quality metrics are converted into trace space and eye images deemed to meet the threshold of quality metrics bypass the trace transform module.
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Abstract
An iris and ocular recognition system using trace transforms. The system may acquire an eye image and provide it to an image quality metrics determination module for a quality evaluation to indicate whether the image goes to an iris recognition module and/or a trace transform module. The trace transform may also be used as a pre-filtering mechanism to determine a small database from bigger datasets. If the quality evaluation reaches a predefined quality measure, the image may be passed immediately to the iris recognition module. If not, the image may go to the trace transform module. If the quality evaluation is too poor for the latter, the image may be rejected subject to rehabilitation or reacquisition. A processed image from the iris recognition module may result in an only best match. A processed image from the trace transform module may be lined up instead with the most probable matches.
421 Citations
20 Claims
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1. A standoff ocular recognition system comprising:
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an eye image acquisition module; an image quality evaluation section connected to the eye image acquisition module; an eye recognition section connected to the image quality evaluation section; and a matcher module connected to the eye recognition section; and wherein the eye recognition section comprises a trace transform module for converting eye images into trace space; and wherein the image quality evaluation section is configured to determine if an eye image meets a threshold of quality metrics and eye images deemed not to meet the threshold of quality metrics are converted into trace space and eye images deemed to meet the threshold of quality metrics bypass the trace transform module. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for ocular recognition, comprising:
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acquiring an eye image; evaluating the eye image relative to quality; routing eye images having good quality to an iris recognition module; routing eye images having poor quality to a trace transform module; converting eye images having poor quality to trace transforms; matching ocular trace transforms with ocular trace transforms, associated with identities of individuals, in a database; and wherein; an eye image has poor quality if the eye image is evaluated not to meet a predefined threshold of quality metrics; and the matching ocular trace transforms of eye images is based on a similarity measure relative to the ocular trace transforms in the database. - View Dependent Claims (18, 19)
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20. A method for standoff ocular recognition, comprising:
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acquiring an eye image; determining quality metrics of the eye image; processing eye images having good quality into iris images for iris recognition;
,performing trace transformation of an eye image, having quality metrics below a certain threshold, into ocular signature images; and a matching of the ocular signature images with ocular signature images associated with identities of individuals in a database, which generates a number of most probable matches; and wherein an eye image having a quality below a certain threshold is deemed to provide an iris print too obscured to be a reliable matcher for selecting one best match among iris prints in the database.
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Specification