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Multimodal Biometric Identification System: Fusion of Iris and Fingerprint

by Sameer P Patil, Tushar N Raka, Shreyas O Sarode
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 9
Year of Publication: 2014
Authors: Sameer P Patil, Tushar N Raka, Shreyas O Sarode
10.5120/17036-7337

Sameer P Patil, Tushar N Raka, Shreyas O Sarode . Multimodal Biometric Identification System: Fusion of Iris and Fingerprint. International Journal of Computer Applications. 97, 9 ( July 2014), 31-36. DOI=10.5120/17036-7337

@article{ 10.5120/17036-7337,
author = { Sameer P Patil, Tushar N Raka, Shreyas O Sarode },
title = { Multimodal Biometric Identification System: Fusion of Iris and Fingerprint },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 9 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number9/17036-7337/ },
doi = { 10.5120/17036-7337 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:40.346864+05:30
%A Sameer P Patil
%A Tushar N Raka
%A Shreyas O Sarode
%T Multimodal Biometric Identification System: Fusion of Iris and Fingerprint
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 9
%P 31-36
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a biometric person identification system based on fusion of Iris and Fingerprint images. This paper attempts to improve the performance of iris and fingerprint-based identification system by combining the individual features obtained by implementing Iris and Fingerprint identification system. There exist techniques to provide biometric identification systems based on one or other type of modalities. But usage of multiple modalities has resulted in higher accuracy and reliability as concluded by the experiments conducted.

References
  1. Vincenzo Conti, Carmelo Militello, Filippo Sorbello, "A Frequency-Based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems", IEEE transactions on systems, man and cybernetics- Part C: Applications and Reviews, Vol. 40, No. 4, July 2010.
  2. Asim Biag, Ahmed Bouridane, Faith Kurugollu and Gang Qu, "Fimgerprint- Iris Fuion based Identification System using a Single Hamming Distance Matcher", 2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security.
  3. Huny Meharotra, Ajita Rattani, Phalguni Gupta, "Fusion of iris and fingerprint biometric for recognition", Indian Institute of Technology, Kanpur.
  4. S. Hariprasath and S. Venkatsubramaniam, "Iris feature extraction and recognition using wavelet analysis", International Conference on Signal and Image Processing, 2010.
  5. Lenina Birgale and M. Kokare, "Iris recognition without iris normalization", Journal of Computer Science, Science Publications, 2010.
  6. Raida Hentati, Moncef Bousselmi, Mohamed Abid, "An Embedded System for iris Recognition", International conference on Design and technology of integrated systems in nanoscale era.
  7. Wang Yuan, Yao Lixiu nad Zhou Fugiang, "A Real Time Fingerprint Recognition System Based On Novel Fingerprint Matching Strategy", Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference, July 2007.
  8. Hiew , Melaka Teoh and Pang, "Touchless fingerprint recognition system", Automatic Identification Advanced Technologies, 2007 IEEE Workshop, June 2007
  9. Arun Ross, Anil Jain, " Information Fusion in Biometrics", Pattern recognition letters 24 (2003) 2115-2125.
  10. R. N. Kankrale, Prof. S. D. Sapkal, "Template level fusion of iris and fingerprint in multimodal biometric identification systems", National Conference on emerging trends in computer science and Information Technology (ETCSIT) 2011.
  11. Daugman J. "How iris recognition works", available at http://www. ncits. org/tc_home/m1htm/docsm1020044. pdf
  12. Anil K. Jain, Arun Ross and Salil Prabhakar, "An Introduction to Biometric recognition", IEEE Transactions on circuits and systems for video technology, Vol. 14, No. 1, January 2004
Index Terms

Computer Science
Information Sciences

Keywords

Multimodal Biometrics Fusion Iris Fingerprint

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