Pupil detection and feature extraction algorithm for Iris recognition Pupil detection and feature extraction algorithm for Iris recognition

Roselin, L Waghmare
2013 AMO-Advanced Modeling and Optimization   unpublished
For fast, secure and reliable authentication process as compared to other security systems such as password or any other biometric systems. To get efficiency in terms of cost of computation and execution our proposed method proposes scanning method for pupil detection and five level decomposition techniques for feature extraction. Implementation using haar wavelet and daubechies wavelet (db2, db4), Feature vector (FV) are clear and useful after decomposing up to five-level using 2D haar wavelet
more » ... transform algorithms(HWT) than daubechies wavelet and Hamming distance classifier is used for matching the patterns efficiently with stored database and latter perform the comparison on the bases of performance evaluation parameters. Experimental results are conducted using CASIA iris database which shows that the proposed method is efficient and reliable.
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