Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21158
Title: Comments on "An adaptive multimodal biometric management algorithm"
Authors: Kanhangad, V
Kumar, A
Zhang, D 
Keywords: Adaptive fusion
Decision level fusion
Multimodal biometrics
Particle swarm optimization
Issue Date: 2008
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part C, Applications and reviews, 2008, v. 38, no. 6, p. 841-843 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part C, Applications and reviews 
Abstract: We note that there are some discrepancies in the results reported in the previous titled paper. Our experiments indicate that the authors have considered only a subset of all possible fusion rules, contradicting the statement that all possible rules have been considered. Moreover, the authors state that only monotonic rules can be optimal, and therefore, all other rules can be ignored. However, our experimental results examining all possible rules demonstrate that a nonmonotonic rule can also be an optimum fusion rule.
URI: http://hdl.handle.net/10397/21158
ISSN: 1094-6977
DOI: 10.1109/TSMCC.2008.2001570
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