A UMACE filter approach to lipreading in biometric authentication system

Dzati Athiar Ramli, Salina Abdul Samad, Aini Hussain

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Visual speech information, for example the appearance and the movement of lip during speech utterance can characterize a person's identity and therefore it can be used in personal authentication systems. In this study, we propose a novel approach by using lipreadirig data i.e., the sequence of entire region of mouth area produced during speech and the implementation of the Unconstrained Minimum Average Correlation Energy (UMACE) filter as a classifier for biometric authentication. The system performance is also enhanced by the implementation of multi sample fusion scheme using average operator. The results obtained from using a Digit Database shows that the use of lipreading information anC UMACE filter has good potentials and is highly effective in reducing false acceptance and false rejecticn rates for speaker verification system performance.

Original languageEnglish
Pages (from-to)280-287
Number of pages8
JournalJournal of Applied Sciences
Volume8
Issue number2
Publication statusPublished - 2008

Fingerprint

Biometrics
Authentication
Classifiers
Fusion reactions

Keywords

  • Biometrics
  • Lip movement
  • Speaker verification
  • Unconstrained Minimum Average Correlation Energy (UMACE)

ASJC Scopus subject areas

  • General

Cite this

A UMACE filter approach to lipreading in biometric authentication system. / Ramli, Dzati Athiar; Abdul Samad, Salina; Hussain, Aini.

In: Journal of Applied Sciences, Vol. 8, No. 2, 2008, p. 280-287.

Research output: Contribution to journalArticle

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