Biometric identifiers are the unique, measurable characteristics used to tag and describe individuals. Physiological characteristics are related to the shape of the body. Examples of biometric identifications are, fingerprint, face, DNA, Palm print, hand geometry, iris recognition, and retina. Human retina is another source of biometric system which provides the most reliable and stable means of authentication. We propose a new algorithm for the detection and measurement of blood vessels of the

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... retina and finding the bifurcation points of blood vessels for personal identification. A minutiae technique for finding bifurcation points of the extracted blood vessels and according to bifurcation points identifies the individual person. Performance of these techniques is tested using the database from Dr. Manoj Saswade and Dr. Neha Deshpande (300 Images). This algorithm achieves a true positive rate of 98%, false positive rate of 20%, and accuracy score of 0.9702 and also classification down through Statistical Techniques.