A secure personal identification system based on 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, not same as iris, is another source of biometric system which provides the most reliable and stable means of authentication. In this paper, we present a new system based on vascular pattern of human retina which can be used for security purposes. 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 using wavelets and multilayered thresholding technique. Second stage extracts all possible feature points and represents each feature point with a feature vector. The proposed system matches the template feature vectors and input image feature vector using Mahalanobis distance. The experimental results demonstrate that the proposed system performs retina recognition with high accuracy.