Share Email Print
cover

Proceedings Paper

Multimodal biometrics system for efficient human recognition
Author(s): Phalguni Gupta; Ajita Rattani; Hunny Mehrotra; Anil Kumar Kaushik
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper proposes the multimodal biometrics system for identity verification using four traits i.e., face, fingerprint, iris and signature. The proposed system is designed for applications where the training database contains a face, iris, two fingerprint images and/or one or two signature image(s) for each individual. The final decision is made by fusion at "matching score level architecture" in which feature vectors are created independently for query images and are then compared to the enrollment templates which are stored during database preparation for each biometric trait. Based on the proximity of feature vector and template, each subsystem computes its own matching score. These individual scores are finally combined into a total score, which is passed to the decision module. Multimodal system is developed through fusion of face, fingerprint, iris and signature recognition. This system is tested on IITK database and the overall accuracy of the system is found to be more than 97% accurate with FAR and FRR of 2.46% and 1.23% respectively.

Paper Details

Date Published: 17 April 2006
PDF: 11 pages
Proc. SPIE 6202, Biometric Technology for Human Identification III, 62020Y (17 April 2006); doi: 10.1117/12.667547
Show Author Affiliations
Phalguni Gupta, Indian Institute of Technology Kanpur (India)
Ajita Rattani, Indian Institute of Technology Kanpur (India)
Hunny Mehrotra, Indian Institute of Technology Kanpur (India)
Anil Kumar Kaushik, Dept. of Information Technology (India)


Published in SPIE Proceedings Vol. 6202:
Biometric Technology for Human Identification III
Patrick J. Flynn; Sharath Pankanti, Editor(s)

© SPIE. Terms of Use
Back to Top