Automatic Fingerprint Recognition Scheme and Enhancement

In this paper we demonstrate the techniques for improved fingerprint recognition. We mainly focused on the study of decomposition of image, feature extraction and feature match. A fingerprint is the reproduction of fingertip impressions and produced when a finger is pressed against a smooth surface. The most evident structural characteristic of a fingerprint is its pattern of interleaved ridges and valleys. Ridges and valleys often run parallel but they can bifurcate or terminate abruptly sometimes. The methods of processing techniques fingerprints are being thoroughly analyzed. An integrated solution for fingerprint recognition is developed for demonstration based on the analysis. We have used combination of multiple methods such as building a minutia extractor and a minutia matcher with simplified steps. Demonstration has been made in the MATLAB background. In the task of fingerprint recognition, the experiments conducted on various fingerprint images shows enhancement of the performance.