HUMAN IRIS RECOGNITION USING FUZZY NEURAL CONCEPTS
K. Raghavi, G. Prowino, M. H. M. Paiva, M.V. Priya, Saranya Mohan · 2011
Biometrics is one of the vastly growing fields for human identification. Our paper deals with the recognition of the human iris which overcomes the shortcomings of other methods of personal identification. This system deals with the localization of the iris region using a fast algorithm and extraction is done using fuzzy neural network algorithm to extract the deterministic patterns in a person's iris in the form of feature vectors. Then they are compared in terms of weighted hamming distance to verify the identity. Binary Coding scheme is used for better efficiency. This technology promises variability, stability and security. It is favorable for high protection mechanism in security systems.