Multimodal biometrics based on identification and verification system

Osamah Al-Hamdani and Ali Chekima and Jamal Ahmad Dargham and Sh-Hussain Salleh and Fuad Noman and Hadri Hussain and AK Ariff and Alias Mohd Noor (2013) Multimodal biometrics based on identification and verification system. Journal of Biometrics & Biostatistics, 4 (163). pp. 1-8. ISSN 2155-6180

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Abstract

The need for an increase of reliability and security in a biometric system is motivated by the fact that there is no single technology that can realize multi-purpose scenarios. Experimental results showed that the recognition rate of Heart Sound Identification (HSI) model is 81.9%, while the rate for Speaker Identification (SI) model is 99.3% from 20 clients and 70 impostors. Heart Sound-Verification (HSV) provides an average Equal Error Rate (EER) of 13.8%, while the average EER for the Speaker Verification model (SV) is 2.1%. Electrocardiogram Identification (ECGI), on the other hand, provides an accuracy of 98.5% and ECG Verification (ECGV) EER of 4.5%. In order to reach a higher security level, an alternative multimodal and a fusion technique were implemented into the system. Through the performance analysis of the three biometric system and their combination using two multimodal biometric score level fusion, this paper found the optimal combination of those systems. The best performance of the work is based on simple-sum score fusion, with a piecewise-linear normalization technique which provides an EER of 0.7%.

Item Type:	Article
Keyword:	Unimodal biometric , Heart signal detection , Health care security , Speaker verification
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines
Department:	FACULTY > Faculty of Engineering
Depositing User:	SAFRUDIN BIN DARUN -
Date Deposited:	30 Nov 2022 08:04
Last Modified:	30 Nov 2022 08:04
URI:	https://eprints.ums.edu.my/id/eprint/34966

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