Method for localizing irises in images using gradients and textures
First Claim
Patent Images
1. A method for localizing pixels representing an iris in an image acquired of an eye, comprising a computer system for performing steps of the method, comprising the steps of:
- determining gradient information from an image acquired of an eye;
determining texture information from the image; and
combining the gradient information and the texture information to generate boundaries of an iris image including pixels representing an iris in the image of the eye.
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Abstract
A method for extracting an iris from an image is presented. Edges of an iris are detected in an image. Texture from the image is acquired. The edges and texture are combined to generate an inner boundary and an outer boundary of the iris. Also, to improve the accuracy of the iris boundary detection, a method to select between ellipse and circle models is provided. Finally, a dome model is used to determine mask images and remove eyelid occlusions in unwrapped images.
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Citations
16 Claims
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1. A method for localizing pixels representing an iris in an image acquired of an eye, comprising a computer system for performing steps of the method, comprising the steps of:
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determining gradient information from an image acquired of an eye; determining texture information from the image; and combining the gradient information and the texture information to generate boundaries of an iris image including pixels representing an iris in the image of the eye. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for localizing pixels representing an iris in an image acquired of an eye, comprising a computer system for performing steps of the method, comprising the steps of:
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measuring a gradient magnitude of pixel intensities in an image of an eye; determining a texture difference in the image; combining the gradient magnitude and the texture difference; defining boundaries of an iris image, including pixels representing an iris in the image, according to the combination of the gradient and the texture difference. - View Dependent Claims (12, 13, 14, 15, 16)
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Specification