Biometric identification through detection of retinal vasculature

In recent times biometric identification has become a very important part of secure identification. Biometrics are certain characteristics unique to an individual. Various biometric identifications include DNA, Finger prints, Iris, Retina, Voice, Face etc. The proposed method uses retinal vasculature for biometric identification. This method uses 2D Gabor Wavelet transform to enhance blood vessels which are then segmented using Adaptive thresholding. Bifurcation points and End points of vessels are then used as feature points. Validation process is carried out to eliminate falsely identified feature points. These valid feature points are used to establish the identity of a person.