Sequential fusion of decisions with favorable dependence for controlled verification errors

Nallagatla, Vishnu P. & Chandran, Vinod (2012) Sequential fusion of decisions with favorable dependence for controlled verification errors. In Proceedings of Sequential Fusion of Decisions with Favourable Dependence for Controlled Verification Errors, Montreal, Canada, pp. 259-264.

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Abstract

Statistical dependence between classifier decisions is often shown to improve performance over statistically independent decisions. Though the solution for favourable dependence between two classifier decisions has been derived, the theoretical analysis for the general case of 'n' client and impostor decision fusion has not been presented before. This paper presents the expressions developed for favourable dependence of multi-instance and multi-sample fusion schemes that employ 'AND' and 'OR' rules. The expressions are experimentally evaluated by considering the proposed architecture for text-dependent speaker verification using HMM based digit dependent speaker models. The improvement in fusion performance is found to be higher when digit combinations with favourable client and impostor decisions are used for speaker verification. The total error rate of 20% for fusion of independent decisions is reduced to 2.1% for fusion of decisions that are favourable for both client and impostors. The expressions developed here are also applicable to other biometric modalities, such as finger prints and handwriting samples, for reliable identity verification.

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ID Code: 50765
Item Type: Conference Paper
Refereed: Yes
Keywords: text-dependent speaker verification, fusion performance, biometric modalities, identity verification
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Please consult the author
Deposited On: 10 Jul 2012 02:44
Last Modified: 20 Feb 2013 09:30

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