A Novel Approach for Iris Recognition
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 4
Abstract
The iris has been proposed as a reliable means of biometric identification. The importance of the iris as a unique identifier is predicated on the assumption that the iris is stable throughout a person’s life. Also, the need for security systems going up, Iris recognition is emerging as one of the important methods of biometrics-based identification systems. Iris biometry has been proposed as a sound measure of personal identification. Iris biometry has been proposed as a sound measure of personal identification. This project basically explains comparison of the purposed algorithm with the existing algorithms for Iris recognition. In proposed method, image preprocessing is performed using Daugman’s Integro-differential operator. The extracted iris part is then normalized using Daugman’s rubber sheet model followed by extracting the iris portion of the eye image using Haar transform. Finally two Iris Codes are compared to find the Hamming Distance which is a fractional measure of the dissimilarity. The results obtained with this algorithm are of highest accuracy whereas the false acceptance ratio (FAR) and false rejection ratio (FRR) are lowest compared to existing algorithms.
Authors and Affiliations
Manisha M. Khaladkar , Sanjay R. Ganorkar
Keywords
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