• 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