Iris Authentication by Encoded Variant Length Iris Templates

Biometric-based personal verification and identification methods have gained much interest with an increasing emphasis on database security. Of all the physiological traits of the human body that help in personal identification, the iris is probably the most robust and accurate one by research. Iris recognition using texture based method is a robust biometric, that can operate in both verification and identification modes. The feature templates are the vital source for authentication which can be easily attacked. Hence securing this iris template is very essential. In this paper, a new encoded technique is been performed on the binary iris codes, generated from feature extraction method producing a non binary variant length codes which in turn securing the iris templates. Finally the hamming distance is calculated with a threshold in order to match the generated binary code of a given input with the database's encoded templates by decoding process. The iris code matching task is performed much faster by decoding process rather repeating the whole recognition process step by step for each individual data in the database for which the input to be authenticated or verified.