An approach of cryptographic for estimating the impact of fingerprint for biometric

A very important step in automatic fingerprint recognition system is to automatically and reliably extract minutia from the fingerprint images. Minutia based fingerprint recognition algorithms have been widely accepted as a standard for single fingerprint recognition applications. But the performance of a minutia extraction algorithm relies heavily on the quality of the input fingerprint images and the image processing techniques used for enhancing the ridges and valleys of the fingerprint image and make the minutia distinguishable from the other parts of the fingerprint image. This paper basically focuses on how the minutia points are extracted from fingerprint images and the proposed method is to design and implement the current techniques for fingerprint recognition specifically public key cryptography (RSA Algorithm) to improve the performance of the system. The design is mainly decomposed into image preprocessing, feature extraction, implementation of RSA algorithm for extracted feature and finally matches.