DocumentCode
961153
Title
Comments on "An Adaptive Multimodal Biometric Management Algorithm
Author
Kanhangad, Vivek ; Kumar, Ajay ; Zhang, David
Author_Institution
Dept. of Comput., Hong Kong Polytech. Univ., Kowloon
Volume
38
Issue
6
fYear
2008
Firstpage
841
Lastpage
843
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.
Keywords
biometrics (access control); particle swarm optimisation; sensor fusion; set theory; adaptive multimodal biometric management algorithm; monotonic rules; particle swarm optimization; subset; Biometrics; Biosensors; Cost function; Particle swarm optimization; Sensor fusion; Terminology; Adaptive fusion; decision level fusion; multimodal biometrics; particle swarm optimization;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher
ieee
ISSN
1094-6977
Type
jour
DOI
10.1109/TSMCC.2008.2001570
Filename
4656563
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