A face and speech biometric verification system using a simple Bayesian structure


Teoh, , ABJ and Samad, , SA and Hussain,, A (2005) A face and speech biometric verification system using a simple Bayesian structure. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 21 (6). pp. 1121-1137. ISSN 1016-2364

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Identity verification systems that use a mono modal biometric always have to contend with sensor noise and limitations of the feature extractor and matcher, while combining information from different biometrics modalities may well provide higher and more consistent performance levels, However, an intelligent scheme is required to fuse the decisions produced by the individual sensors. This paper presents a decision fusion technique for a bimodal biometric verification system that makes use of facial and speech biometrics. The decision fusion schemes considered have simple Bayesian structures (SBS) that particularize the univariat Gaussian density function, Beta density function or Parzen window density estimation. SBS has advantages in terms Of Computation speed, storage space and its open framework. The performances of SBS is evaluated and compared with that of other classical classification approaches, such as sum rule and Multilayer Perceptron, on a bimodal database.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 19 Sep 2011 08:21
Last Modified: 19 Sep 2011 08:21
URII: http://shdl.mmu.edu.my/id/eprint/2173


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