Efficient Bio Metric IRIS Recognition System Using Fuzzy Neural Network

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.