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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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.
|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 )|
|Depositing User:||FF Li|
|Date Deposited:||11 May 2016 14:17|
|Last Modified:||11 May 2016 14:17|
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