Abstract: Biometric based recognition is the science of identifying or verifying the identity of a person based on physiological and or behavioral characteristics. Biometric recognition offers many advantages over traditional PIN number or password and token-based (e.g., ID cards) approaches. A biometric trait cannot be easily transferred, forgotten or lost, the rightful owner of the biometric template can be easily identified, and it is difficult to duplicate a biometric trait. The proposed work is centered upon collection of minutiae terms based on Region of Interest of the image of the fingerprints. Actual phases in the proposed work consist of making binary and thinning to extract the image constituents from the image details. After those minutiae terms are determined on the basis of bifurcation and termination which occurs at the ridges in the fingerprint. False minutia terms are rejected by again comparing that with ROI and user selectivity has been introduced in case user wants to select its own ROI. Thus the experimental results show that the fingerprint is very consistent with the original fingerprint and better than other existent methods.