Fusion of hand based biometrics using particle swarm optimization
Hanmandlu, M., Kumar, Amioy, Madasu, Vamsi K., & Yarlagadda, Prasad (2008) Fusion of hand based biometrics using particle swarm optimization. In Latifi, Shahram (Ed.) Fifth International Conference on Information Technology: New Generations, April 7-9, 2008, Las Vegas, USA.
Multi-modal biometrics has numerous advantages over unimodal biometric systems. Decision level fusion is the most popular fusion strategy in multimodal biometric systems. Recent research has shown promising performance of hand based biometrics, i.e. palmprint and hand geometry over other biometric modalities. However, the improvement in performance is constrained by the lack of optimal sensor points and fusion strategy. In this paper, we have implemented a particle swarm based optimization technique for selecting optimal parameters through decision level fusion of two modalities: palmprint and hand geometry. The experimental evaluation on a database of 100 users confirms the utility of the decision level fusion using particle swarm optimization.
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|Item Type:||Conference Paper|
|Keywords:||Modalities, Biometrics, Palm print, Hand Geometry, Particle Swarm Optimization, Fusion rules|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Copyright Owner:||Copyright 2008 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||19 Aug 2008|
|Last Modified:||29 Feb 2012 23:42|
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