Iris Recognition Based on Extreme Point Identification using Feature Extraction

Abstract: The use of human identification has become increasingly in demand in today�s society. The human iris is one of the most unique biometrics available to use in the identification of an individual. A biometric is characteristic of human body that can be used to uniquely identify a person.The common iris biometric algorithm represents the texture of an iris using a binary iris code. This paper proposes, Iris recognition consist of pre-processing by eyelash occlusion based on extreme point identification, feature extraction by mean thresholding and mean by median thresholding and matching of iris code by fusion of hamming distance and fragile bit distance. Proposed method will achieve good recognition rate.

Keywords: occlusion, extreme point, feature extraction, mean thresholding, mean by median thresholding.