Biometric Template Feature Extraction and Matching Using ISEF Edge Detection and Contouring Based Algorithm

In present world, biometric base authentication system is used by many agencies for security purpose. Use of important characteristics of biometric based authentication system become so popular because every human presents unique biometric characteristics and biometric recognition done automatically. Biometric authentication system is divided into four steps like biometric template acquisition using sensor, feature extraction, template matching and decision about authentication. In this paper, we are described new approach for biometric template feature extraction and template matching using combination of ISEF edge detection and contour based biometric recognition algorithm. We have explored infinite symmetric exponential filter properties of ISEF algorithm on iris biometric template which is applicable on particular edges points of template. This proposed approach has been applicable on fingerprint, iris, and face biometric template of human. This proposed approach has applied on iris biometric template because of less algorithm is available in literature for iris biometric recognition because of popularity of iris biometric template used for human identification. Keywords— Biometric Recognition, Contouring, Edge Detection, Feature Extraction, ISEF, Iris Pattern, Template Matching.