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http://dx.doi.org/10.13089/JKIISC.2006.16.3.115

Performance Evaluation of Various Normalization Methods and Score-level Fusion Algorithms for Multiple-Biometric System  

Woo Na-Young (Biometric Engineering Research Center Graduate School of Information Technology & Telecommunication, Inha University)
Kim Hak-Il (Biometric Engineering Research Center Graduate School of Information Technology & Telecommunication, Inha University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.16, no.3, 2006 , pp. 115-127 More about this Journal
Abstract
The purpose of this paper is evaluation of various normalization methods and fusion algorithms in addition to pattern classification algorithms for multi-biometric systems. Experiments are performed using various normalization functions, fusion algorithms and pattern classification algorithms based on Biometric Scores Set-Releasel(BSSR1) provided by NIST. The performance results are presented by Half Total Error Rate (WTER). This study gives base data for the study on performance enhancement of multiple-biometric system by showing performance results using single database and metrics.
Keywords
BSSR1;
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