Iris recognition method
First Claim
1. An iris recognition method, comprising:
- a step of locating an iris region, wherein said iris region is separated from an eye image and then transformed into a 2D rectangular image;
a step of iris feature extraction, wherein feature points are extracted from said 2D rectangular image and transformed into a sequence of vectors; and
a step of iris feature comparison, wherein said iris feature comparison is performed to estimate the similarity between said vectors of two irises and determine whether said two irises match.
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Abstract
The present invention disclose an iris recognition method, which utilizes a matching pursuit algorithm to simplify the extraction and reconstruction of iris features and reduce the memory space required by each iris feature vector without the penalty of recognition accuracy. The iris recognition method of the present invention comprises an iris-localization component and a pattern matching component. The iris-localization component locates the iris region via the color difference between different portions of the eyeball. The primary iris features are extracted from iris information and transformed into a sequence of iris feature vectors by a matching pursuit algorithm. Thus, the iris image can be represented by a sequence of atoms, and each atom contains base, amplitude and location. Then, the comparison between the feature vectors of two irises is performed to determine whether the two irises match.
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Citations
11 Claims
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1. An iris recognition method, comprising:
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a step of locating an iris region, wherein said iris region is separated from an eye image and then transformed into a 2D rectangular image; a step of iris feature extraction, wherein feature points are extracted from said 2D rectangular image and transformed into a sequence of vectors; and a step of iris feature comparison, wherein said iris feature comparison is performed to estimate the similarity between said vectors of two irises and determine whether said two irises match. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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Specification