IRIS DEBLURRING METHOD BASED ON GLOBAL AND LOCAL IRIS IMAGE STATISTICS
First Claim
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1. A method of identifying a living being, comprising the steps of:
- using a camera to capture a blurred visual image of an iris of the living being;
digitally unblurring the blurred visual image based on a distribution of eye image gradients in an empirically-collected sample of eye images and distributions from characteristics of local regions; and
processing the unblurred image to determine an identity of the living being.
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Abstract
A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being.
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Citations
20 Claims
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1. A method of identifying a living being, comprising the steps of:
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using a camera to capture a blurred visual image of an iris of the living being; digitally unblurring the blurred visual image based on a distribution of eye image gradients in an empirically-collected sample of eye images and distributions from characteristics of local regions; and processing the unblurred image to determine an identity of the living being. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of identifying a living being, comprising the steps of:
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using a camera to capture a blurred visual image of an iris of the living being; digitally unblurring the blurred visual image based on; distributions from intensity value of pupil region; and distribution from global intensity value statistics derived from measurements of a population of eye regions; and processing the unblurred image to determine an identity of the living being. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A method of identifying a living being, comprising the steps of:
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capturing a blurred visual image of an iris of the living being; digitally unblurring the blurred visual image based on; distribution from local highlight intensity value of pupil region; distribution from local non-highlight intensity value of pupil region; and distribution of global intensity value statistics derived from measurements of a population of eye regions; and processing the unblurred image to determine an identity of the living being. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification