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

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.

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Abstract

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.

Item Type:	Thesis (PhD)
Subjects:	T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions:	Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User:	Mr Aizat Asmawi Abdul Rahim
Date Deposited:	12 Apr 2022 07:39
Last Modified:	12 Apr 2022 07:39
URI:	http://eprints.usm.my/id/eprint/52285

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