We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Fingerprint Verification System � A Fusion Approach

Published on March 2012 by M.Mani Roja, Sudhir Sawarkar
journal_cover_thumbnail

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
  1. Anil K. Jain, Arun Ross and Salil Prabhakar, “An Introduction to Biometric Recognition”, Appeared in IEEE Transactions on Circuits and Systems for Video Technology, Special Issue on Image- and Video- BasedBiometrics, Vol. 14, No. 1, January 2004.
  2. Arun Ross, Anil Jain, “Information fusion in biometrics”. Pattern Recognition Letters 24 (2003) 2115–2125
  3. D. Maltoni, D. Maio, A. K. Jain et S. Prabhakar, "Handbook of Fingerprint Recognition". New-York: Springer-Verlag, 2003. 1388, 1997.
  4. Jain, A.K., Hong, L., Bolle, R.,” On-line fingerprint verification”, IEEE Trans. Pattern Anal. Machine Intell. 1997 (4), 302–314.
  5. Salil Prabhakar, Anil Jain, Sharath Pankanti,”Learning Fingerprint Minutiae Location and Type”, IEEE Trans. Commun., Sept 09.
  6. Rafel C.Gonzalez,Richard Woods,”Didital Image Processing”,9th edition, Printice Hall, NewYork,Sept 09.
  7. Jain, A.K., Prabhakar, S., Chen, S., “Combining multiple matchers for a high security fingerprint verification system”, Pattern Recognition Lett. 20 (11–13)1999, 1371–1379.
  8. Arun Ross, Anil Jain, James Reisman,”A Hybrid Fingerprint Matcher”, IEEE Trans. Commun., Sept 09.
  9. Ravi, Raja, “Finger print recognition using minutia score matching”, International Journal of Engineering Science and Technology Vol.1(2), 2009, 35-42
Index Terms

Computer Science
Information Sciences

Keywords

Minutiae Discrete Cosine transform Fusion