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Handwriting authentication by envelopes of sound signature

Li, FF

Authors

FF Li



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.

Citation

Li, F. (2004, August). Handwriting authentication by envelopes of sound signature. Presented at 17th International Conference on Pattern Recognition, 2004. ICPR 2004., Cambridge, United Kingdom

Presentation Conference Type Other
Conference Name 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
Conference Location Cambridge, United Kingdom
Start Date Aug 26, 2004
Publication Date Sep 24, 2004
Deposit Date May 11, 2016
Book Title Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
ISBN 0769521282
DOI https://doi.org/10.1109/ICPR.2004.1334136
Publisher URL http://dx.doi.org/10.1109/ICPR.2004.1334136
Related Public URLs https://ieeexplore.ieee.org/xpl/conhome/9258/proceeding
Additional Information Event Type : Conference
Funders : MMU