Iris image-based recognition system
First Claim
1. A method of identifying an individual by iris image-based recognition system comprising the steps of:
- obtaining an iris image of said individual to be identified by locating the outer boundary and the inner boundary of an iris, whereby said inner boundary of said iris is localized using maximum vote finding method;
processing said localized iris image to extract iris features by transforming said localized image into a polar coordinate system;
extracting the characteristic values of fractal dimension from said image area for generating an identification code; and
comparing said characteristic values of said extracted identification code with the characteristic values of a previously stored identification code of said individual.
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Abstract
The present invention is to identify an individual from his or her iris captured from an imaging system. Basically the system can be divided into two processes, which are enrollment and verification. Each process consists of four steps. Both processes share the three beginning steps, which are image acquisition, image processing, and feature extraction. Image acquisition is to capture the real iris image of a user. Then image processing is applied to the acquired image. In the next step, the textural information of an iris image is generated into a signature in a process called feature extraction. For an enrollment process, the extracted iris signature will be stored in database for the future use of verification. In a verification process, the last step is to compare the iris signature generated from real time processing with the signatures previously stored. A final decision will be made to determine whether the user is successfully identified or not. The present invention introduces two new methods in the iris recognition algorithm. First, a new method called maximum vote finding method that is used during iris image processing was developed to reduce the time required for localization of inner iris after applying Hough Transform for localization of outer iris. Second, an iris signature based on fractal dimension characterization which is a novel approach used in iris feature extraction process was developed to provide satisfactory matching accuracy of iris images.
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Citations
9 Claims
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1. A method of identifying an individual by iris image-based recognition system comprising the steps of:
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obtaining an iris image of said individual to be identified by locating the outer boundary and the inner boundary of an iris, whereby said inner boundary of said iris is localized using maximum vote finding method;
processing said localized iris image to extract iris features by transforming said localized image into a polar coordinate system;
extracting the characteristic values of fractal dimension from said image area for generating an identification code; and
comparing said characteristic values of said extracted identification code with the characteristic values of a previously stored identification code of said individual. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification