A Fast Method to Iris Recognition Using Second Degree Parabola Equation

چکیده مقاله

Iris recognition based on eye scan and cornea, is one of the safest and most reliable methods among biometric recognition methods. This paper provides a fast automatic segmentation method to iris recognition and resistant features extraction. In the presented segmentation method, circular Hough transform is used to find the boundary between the pupil and the iris. The coordinates and radius obtained from the pupil recognition step are used to extract the boundary between the iris and sclera. After removing the eyelashes, to reduce computational complexities and increase the rate of execution, second degree parabola transient from the eyelid points is used to recognize the eyelids boundary. Finally scale invariant feature transform (SIFT) algorithm is used to extract the resistant features against noise causes and testing the correctness of the proposed method. The proposed method is implemented and tested on CASIA database where the obtained results reveal more than %94 recognition rates and faster execution time in comparison to the previous algorithms.

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