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Handwriting authentication by envelopes of sound signature

Li, FF 2004, 'Handwriting authentication by envelopes of sound signature' , Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (Volume:1 ) , 401-404 Vol.1.

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Abstract

Frictions between a rigid-nib pen and paper result in audible sounds that are correlated with the dynamics of writing. Such writing-sounds were previously used as a biometric identity to achieve writer authentication. This paper presents an alternative and supplement algorithm for sound-based handwriting authentication. Envelopes of writing-sounds estimated by the Hilbert transforms are found useful in differentiating topologically similar characters written by different individuals. A straightforward supervised neural network in conjunction with a purpose-designed pre-processor can be trained on examples to effectively differentiate patterns of writing-sounds and thus achieve writer authentication, providing a straightforward and potential alternative to existing methods.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on (Volume:1 )
Publisher: IEEE
ISSN: 1051-4651
Funders: MMU
Depositing User: FF Li
Date Deposited: 11 May 2016 14:17
Last Modified: 11 May 2016 14:17
URI: http://usir.salford.ac.uk/id/eprint/38942

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