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

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,...

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Bibliographic Details
Main Author:	Gunawan, Teddy Surya
Format:	Monograph
Language:	English
Published:	s.n 2013
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/38774/ http://irep.iium.edu.my/38774/ http://irep.iium.edu.my/38774/1/EDW_A12-497-1288.pdf

id	iium-38774
recordtype	eprints
spelling	iium-387742015-05-14T07:33:48Z http://irep.iium.edu.my/38774/ Bimodal person identification system based on speech and signature recognition's Gunawan, Teddy Surya QA75 Electronic computers. Computer science 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 s.n 2013-01-18 Monograph NonPeerReviewed application/pdf en http://irep.iium.edu.my/38774/1/EDW_A12-497-1288.pdf Gunawan, Teddy Surya (2013) Bimodal person identification system based on speech and signature recognition's. Research Report. s.n, Kuala Lumpur. (Unpublished) EDW A12-497-1288
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Gunawan, Teddy Surya Bimodal person identification system based on speech and signature recognition's
description	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
format	Monograph
author	Gunawan, Teddy Surya
author_facet	Gunawan, Teddy Surya
author_sort	Gunawan, Teddy Surya
title	Bimodal person identification system based on speech and signature recognition's
title_short	Bimodal person identification system based on speech and signature recognition's
title_full	Bimodal person identification system based on speech and signature recognition's
title_fullStr	Bimodal person identification system based on speech and signature recognition's
title_full_unstemmed	Bimodal person identification system based on speech and signature recognition's
title_sort	bimodal person identification system based on speech and signature recognition's
publisher	s.n
publishDate	2013
url	http://irep.iium.edu.my/38774/ http://irep.iium.edu.my/38774/ http://irep.iium.edu.my/38774/1/EDW_A12-497-1288.pdf
first_indexed	2023-09-18T20:55:44Z
last_indexed	2023-09-18T20:55:44Z
_version_	1777410291050479616

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

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