Identification of Biometrics Iris using Genetic Spectral Clustering Algorithm

A biometric identification system provides automatic recognition of an individual based on some sort of unique feature or characteristic possessed by the individual. Biometric information is used to recognize the access control. Most of biometric systems have been developed based on fingerprints, facial features, hand geometry, handwriting, voice and retina pattern etc. This technology makes use of physiological or behavioral characteristics to establish identify of an individual. We demand for security levels have to increase day by day. Consequently, biometric recognition came into existence, which is a safe, reliable and convenient technology for personal recognition. In this paper the iris pattern has been investigated to design biometric identification systems for feature extraction and matching module adopts the gradient directions (i.e., angles) on wavelet transform as the discriminating texture features. We present a new approach for detecting and matching iris crypts for identifying using iris biometric with the help of Genetic algorithm.