Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics

In recent times of biometric authentication, the influence of swarm intelligence algorithms role-played in enhancing the performance accuracy to a greater extent. Most researches related to Swarm Intelligence (SI) algorithms have done on the particular, due to the need to integrate more than one SI...

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Main Author: Shanmugasundaram, Karthikeyan
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/52285/
http://eprints.usm.my/52285/1/Pages%20from%20KARTHIKEYAN%20SHANMUGASUNDARAM%20-%20TESIS.pdf%20cut.pdf
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author Shanmugasundaram, Karthikeyan
author_facet Shanmugasundaram, Karthikeyan
author_sort Shanmugasundaram, Karthikeyan
building USM Institutional Repository
collection Online Access
description In recent times of biometric authentication, the influence of swarm intelligence algorithms role-played in enhancing the performance accuracy to a greater extent. Most researches related to Swarm Intelligence (SI) algorithms have done on the particular, due to the need to integrate more than one SI algorithm for better results. Therefore, this research is focused on the hand-based multimodal biometric score fusion which incorporates the scores of hand-based multimodalities and the optimal weights using Hybrid Bacterial Foraging - Particle Swarm Optimization (HBF-PSO) algorithm.
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format Thesis
id usm-52285
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T18:31:23Z
publishDate 2020
recordtype eprints
repository_type Digital Repository
spelling usm-522852022-04-12T07:39:11Z http://eprints.usm.my/52285/ Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics Shanmugasundaram, Karthikeyan TK7885-7895 Computer engineering. Computer hardware In recent times of biometric authentication, the influence of swarm intelligence algorithms role-played in enhancing the performance accuracy to a greater extent. Most researches related to Swarm Intelligence (SI) algorithms have done on the particular, due to the need to integrate more than one SI algorithm for better results. Therefore, this research is focused on the hand-based multimodal biometric score fusion which incorporates the scores of hand-based multimodalities and the optimal weights using Hybrid Bacterial Foraging - Particle Swarm Optimization (HBF-PSO) algorithm. 2020-04 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/52285/1/Pages%20from%20KARTHIKEYAN%20SHANMUGASUNDARAM%20-%20TESIS.pdf%20cut.pdf Shanmugasundaram, Karthikeyan (2020) Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics. PhD thesis, Universiti Sains Malaysia.
spellingShingle TK7885-7895 Computer engineering. Computer hardware
Shanmugasundaram, Karthikeyan
Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics
title Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics
title_full Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics
title_fullStr Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics
title_full_unstemmed Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics
title_short Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics
title_sort score fusion using hybrid bacterial foraging optimization and particle swarm optimization (bfo-pso) for hand-based multimodal biometrics
topic TK7885-7895 Computer engineering. Computer hardware
url http://eprints.usm.my/52285/
http://eprints.usm.my/52285/1/Pages%20from%20KARTHIKEYAN%20SHANMUGASUNDARAM%20-%20TESIS.pdf%20cut.pdf