Personal identification system based on vascular pattern of human retina

Biometrics are the personal physiological and behavioral characteristics which are mostly used for personal recognition. Today, biometric based security systems such as fingerprint, iris and face recognition are used everywhere especially in high security areas. Human retina is another source of biometric system which provides the most reliable and stable means of authentication. In this paper, we present a system for recognition based on vascular pattern of human retina. The proposed algorithm consists of three stages; i.e. preprocessing, feature extraction and finally the matching process. In preprocessing, it extracts the vascular pattern from input retinal image and then it formulates the feature vector in feature extraction stage followed by vascular matching. The proposed method is tested on publicly available databases and experimental results show that the proposed method achieves high accuracies for vascular pattern extraction and matching.