Bimodal person identification system based on speech and signature recognition's

Gunawan, Teddy Surya (2013) Bimodal person identification system based on speech and signature recognition's. Research Report. s.n, Kuala Lumpur. (Unpublished)

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Abstract

This research work aims to develop automatic person identification systems based on three approaches including speech, hand signature, and bimodal biometric technologies. In order to develop the speech system, the Mel-Frequency Cepstral Coefficient (MFCC) and the Vector Quantization (VQ) are used, whereas the hand signature system is based on global features and Multilayer Perceptron (MLP) architecture for Artificial Neural Network (ANN). The bimodal system is based on fusing the speech and hand signature systems at decision level

Item Type:	Monograph (Research Report)
Additional Information:	5588/38774
Uncontrolled Keywords:	Biometric, voice recognition, handwritten signature recognition, vector quantization, neural network, bimodal
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Sr. Norsyaziela Zulkefli
Date Deposited:	14 May 2015 15:33
Last Modified:	14 May 2015 15:33
URI:	http://irep.iium.edu.my/id/eprint/38774

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