QUT ePrints

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.

View at publisher

Abstract

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.

Impact and interest:

5 citations in Scopus
Search Google Scholar™
2 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

759 since deposited on 19 Aug 2008
130 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 14418
Item Type: Conference Paper
Keywords: Modalities, Biometrics, Palm print, Hand Geometry, Particle Swarm Optimization, Fusion rules
DOI: 10.1109/ITNG.2008.252
ISBN: 0769530990
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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page