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

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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/38774/1/EDW_A12-497-1288.pdf

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