A TMS320C54 system for effective online Signature Verification using Hidden Markov Models

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Amarnag Subramanya, . and Arvind Rao, U.K. (2002) A TMS320C54 system for effective online Signature Verification using Hidden Markov Models. In: Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on, 13-17 May 2002.

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Official URL: http://ieeexplore.ieee.org/document/5745681/

Abstract

In this paper we present a scheme for real time implementation of a Hidden Markov Model based Signature Verification System on a TMS320C54 processor. Here we explain in detail our overall methodology and the subsequent DSP implementation. We also propose two new algorithms which would further facilitate real-time operation. We use the Baum-We1ch Algorithm for training the HMM and the Viterbi Algorithm for the testing of our proposed system. It may be noted that the technique of HMMs have hitherto been applied for speech modelling and only recently has its application to the field of Signature Verification been considered. Our proposed system has an overall accuracy of 11.64% FAR and 0.64% FRR.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Keywords are not available for this document.
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms. Rekha Jadhav
Date Deposited: 21 Oct 2016 09:30
Last Modified: 21 Oct 2016 09:30
URI: http://eprints-bangaloreuniversity.in/id/eprint/6745

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