Quantitative evaluation of normalization techniques of matching scores in multimodal biometric systems

Authors:
Y. N. Singh;P. Gupta
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India;Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

Citing 4
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Abstract

This paper attempts to make an quantitative evaluation of available normalization techniques of matching scores in multimodal biometric systems. Two new normalization techniques Four Segments Piecewise Linear (FSPL) and Linear Tanh Linear (LTL) have been proposed in this paper. FSPL normalization techniques divides the region of genuine and impostor scores into four segments and maps each segment using piecewise linear function while LTL normalization techniques maps the non-overlap region of genuine and impostor score distributions to a constant function and overlap region using tanh estimator. The effectiveness of each technique is shown using EER and ROC curves on IITK database of having more than 600 people on following characteristics: face, fingerprint, and offline-signature. The proposed normalization techniques perform better and particularly, LTL normalization is efficient and robust.