Sequential decision fusion for controlled detection errors

Nallagatla, Vishnu P. & Chandran, Vinod (2010) Sequential decision fusion for controlled detection errors. In Nallagatla, Vishnu Priya & Chandran, Vinod (Eds.) Proceedings of the 13th International Conference on Information Fusion, IEEE, Edinburgh International Conference Centre, Edinburgh.

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Information fusion in biometrics has received considerable attention. The architecture proposed here is based on the sequential integration of multi-instance and multi-sample fusion schemes. This method is analytically shown to improve the performance and allow a controlled trade-off between false alarms and false rejects when the classifier decisions are statistically independent. Equations developed for detection error rates are experimentally evaluated by considering the proposed architecture for text dependent speaker verification using HMM based digit dependent speaker models. The tuning of parameters, n classifiers and m attempts/samples, is investigated and the resultant detection error trade-off performance is evaluated on individual digits. Results show that performance improvement can be achieved even for weaker classifiers (FRR-19.6%, FAR-16.7%). The architectures investigated apply to speaker verification from spoken digit strings such as credit card numbers in telephone or VOIP or internet based applications.

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ID Code: 32325
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Biometrics, Multi-modal Biometrics, Multi-instance Fusion, , Sequential Decision Fusion, Detection Error Trade-off, Multi-sample Fusion
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 International Society of Information Fusion and the Authors
Deposited On: 20 May 2010 21:48
Last Modified: 27 Jul 2012 02:12

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