Efficient Bio Metric IRIS Recognition System Using Fuzzy Neural Network
Thangavel Karthikeyan · 2010
The High protection mechanism and security is very essential things in a grow of computer world. Biometric Authentication is in rider seat of the computer society. Authentication and security based on “what you are? ” rather than what you have? Like Identity Card, Physical Key and what you know? Like Password. Iris recognition a relatively new biometric technology, has great advantages, such as variability, stability and security, thus it is the most promising for high security environments. To determine the performance and recognition system a database grayscale eye images were used. Iris is part of eye between eyelids and surrounding. Four different algorithms were designed for verifying Irises viz., 1. Circular-Mellin algorithm, 2. Canny edge detection algorithm, these two algorithms are used for detect the Iris boundaries, 3. Harr wavelet algorithm, 4. Embedded-tree zero wavelet algorithms, 5. Fuzzy neural network algorithm used to extract the deterministic patterns in a person’s Iris in the form of feature vector. Identity is done with the help of the Hamming Distance operator.