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...

Full description

Saved in:
Bibliographic Details
Main Author: Shanmugasundaram, Karthikeyan
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/52285/1/Pages%20from%20KARTHIKEYAN%20SHANMUGASUNDARAM%20-%20TESIS.pdf%20cut.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-usm-ep.52285
record_format uketd_dc
spelling my-usm-ep.522852022-04-12T07:39:11Z Score Fusion Using Hybrid Bacterial Foraging Optimization And Particle Swarm Optimization (Bfo-Pso) For Hand-Based Multimodal Biometrics 2020-04 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 http://eprints.usm.my/52285/ http://eprints.usm.my/52285/1/Pages%20from%20KARTHIKEYAN%20SHANMUGASUNDARAM%20-%20TESIS.pdf%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer (School of Computer Sciences)
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic TK7885-7895 Computer engineering
Computer hardware
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
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.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Shanmugasundaram, Karthikeyan
author_facet Shanmugasundaram, Karthikeyan
author_sort Shanmugasundaram, Karthikeyan
title 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_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_sort score fusion using hybrid bacterial foraging optimization and particle swarm optimization (bfo-pso) for hand-based multimodal biometrics
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Komputer (School of Computer Sciences)
publishDate 2020
url http://eprints.usm.my/52285/1/Pages%20from%20KARTHIKEYAN%20SHANMUGASUNDARAM%20-%20TESIS.pdf%20cut.pdf
_version_ 1747822156404752384