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Reseach Article

Fingerprint Verification System � A Fusion Approach

Published on March 2012 by M.Mani Roja, Sudhir Sawarkar
International Conference in Computational Intelligence
Foundation of Computer Science USA
ICCIA - Number 3
March 2012
Authors: M.Mani Roja, Sudhir Sawarkar
3164524f-7036-4307-a591-359a9b368ca2

M.Mani Roja, Sudhir Sawarkar . Fingerprint Verification System � A Fusion Approach. International Conference in Computational Intelligence. ICCIA, 3 (March 2012), 17-20.

@article{
author = { M.Mani Roja, Sudhir Sawarkar },
title = { Fingerprint Verification System � A Fusion Approach },
journal = { International Conference in Computational Intelligence },
issue_date = { March 2012 },
volume = { ICCIA },
number = { 3 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 17-20 },
numpages = 4,
url = { /proceedings/iccia/number3/5106-1018/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Computational Intelligence
%A M.Mani Roja
%A Sudhir Sawarkar
%T Fingerprint Verification System � A Fusion Approach
%J International Conference in Computational Intelligence
%@ 0975-8887
%V ICCIA
%N 3
%P 17-20
%D 2012
%I International Journal of Computer Applications
Abstract

The primary objective of this paper is to implement fingerprint recognition system using minimum resources for online application. Fingerprint recognition is done using minutiae extraction in time domain method and using Discrete Cosine Transform (DCT) in frequency domain method. The fingerprint image was restricted to size of 256 x 256 pixels. The True Acceptance rate (TAR) has been increased using fusion between time domain method and frequency domain method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Minutiae Discrete Cosine transform Fusion