International Journal of Soft Computing

Year: 2013
Volume: 8
Issue: 2
Page No. 113 - 117

Analysis and Classification of Altered Fingerprints Using FSDCA

Authors : R. Josphineleela and M. Ramakrishnan

Abstract: In this study, researchers are analyzing the altered fingerprints and detecting fingerprints using the FSDCA. There are three types of altered fingerprints that are obliteration, distortion and imitations. Recent problem in the pattern recognition are alteration because of this alteration the criminals can easily evade from their identification. To overcome this problem we have proposed this method.

How to cite this article:

R. Josphineleela and M. Ramakrishnan, 2013. Analysis and Classification of Altered Fingerprints Using FSDCA. International Journal of Soft Computing, 8: 113-117.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved