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BIOMET: A Multimodal Biometric Authentication System for Person Identification and Verification using Fingerprint and Face Recognition

by Hiren D. Joshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 17
Year of Publication: 2012
Authors: Hiren D. Joshi
10.5120/8132-1736

Hiren D. Joshi . BIOMET: A Multimodal Biometric Authentication System for Person Identification and Verification using Fingerprint and Face Recognition. International Journal of Computer Applications. 51, 17 ( August 2012), 7-12. DOI=10.5120/8132-1736

@article{ 10.5120/8132-1736,
author = { Hiren D. Joshi },
title = { BIOMET: A Multimodal Biometric Authentication System for Person Identification and Verification using Fingerprint and Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 17 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number17/8132-1736/ },
doi = { 10.5120/8132-1736 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:50:36.934905+05:30
%A Hiren D. Joshi
%T BIOMET: A Multimodal Biometric Authentication System for Person Identification and Verification using Fingerprint and Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 17
%P 7-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper suggests the multimodal biometrics system for identity verification using two traits: face and fingerprint. The proposed system is intended to use for the training database includes a face and four fingerprint images for each individual. The final decision is made by first individual score of face and fingerprint compares with enrolled templates and then makes fusion at matching score level architecture. The enrolled templates are stored in database. Each subsystem computes its own matching score by using closeness of feature vector and template. The decision module decides the final score by combining individual score of each trait. Multimodal system is developed through fusion of face and fingerprint recognition. The result is significantly improved by using multimodal biometric authentication.

References
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  2. Daugman J. "Combining Multiple Biometrics", the Computer Laboratory at Cambridge University, 2000.
  3. Karthik Nandakumar, "Multibiometric Systems: Fusion Strategies and Template Security", Michigan State University, 2008
  4. A. Ross, K. Nandakumar, and A. K. Jain. Handbook of Multibiometrics. Springer, 2006.
  5. J. G. Daugman, "High confidence visual recognition of persons by a test of statistical independence", IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 15, pp. 1148–1161, 1993 [original 16 , MMB ]
  6. A. Ross & A. K. Jain, Information Fusion in Biometrics, Pattern Recognition Letters, 24 (13), pp. 2115-2125, 2003.
  7. Phalguni Gupta, Ajita Rattani, Hunny Mehrotra, Anil Kumar Kaushik, "Multimodal Biometrics System for Efficient Human Recognition", Proceedings -SPIE The international society for optical engineering, 2006 Vol. 6202 , Pages: 62020Y
Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Multimodal Face Fingerprint Fusion Matching score

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