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International Journal of Soft Computing

ISSN: Online
ISSN: Print 1816-9503
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Analysis and Classification of Altered Fingerprints Using FSDCA

R. Josphineleela and M. Ramakrishnan
Page: 113-117 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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. Analysis and Classification of Altered Fingerprints Using FSDCA.
DOI: https://doi.org/10.36478/ijscomp.2013.113.117
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2013.113.117