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Sound-based multimodal person identification from signature and voice

Li, FF 2010, 'Sound-based multimodal person identification from signature and voice' , in: Internet Monitoring and Protection (ICIMP), 2010 Fifth International Conference on 9-15 May 2010 , IEEE, pp. 84-88.

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Abstract

Person identification as a security means has a variety of important applications. Many techniques and automated systems have been developed over the past few decades; each has its own advantages and limitations. There are often trade-offs amongst reliability, the ease of use, ethical/human rights issues, and acceptability in a particular application. Multimodal identification and authentication can, to some extent, alleviate the dilemmas and improve the overall performance. This paper proposes a new method of the combined use of signatures and utterances of pronounced names to identify or authenticate persons. Unlike typical signature verification methods, the dynamic features of signatures are captured as sound in this paper. The multimodal approach shows increased reliability, providing a relatively simple and potentially useful method for person identification and authentication.

Item Type: Book Section
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Publisher: IEEE
ISBN: 9781424467266
Related URLs:
Funders: University of Salford
Depositing User: FF Li
Date Deposited: 12 May 2016 08:00
Last Modified: 12 May 2016 08:00
URI: http://usir.salford.ac.uk/id/eprint/38949

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