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
Link To Document :
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