A method for the synthesis of dynamic biometric signature data
A method for the synthesis of dynamic biometric signature data
This paper describes a novel method for the generation of synthetic handwritten signatures, in the form of a series of time-stamped pen data channels, for use in dynamic signature verification experimentation. The technique introduces modelled variability within the generated data based on variation that is naturally found within genuine source data. Experimentation using the SVC2004 dataset and a commercial signature verification engine shows that the synthesized data achieves comparative verification performance to the use of genuine data.
Rabasse, C.
245df9e0-a8c2-4eca-9fdf-4c139909a001
Guest, R.M.
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, M.C.
6a82d154-93fe-4657-bcee-934d5c888192
Rabasse, C.
245df9e0-a8c2-4eca-9fdf-4c139909a001
Guest, R.M.
93533dbd-b101-491b-83cc-39ccfdc18165
Fairhurst, M.C.
6a82d154-93fe-4657-bcee-934d5c888192
Rabasse, C., Guest, R.M. and Fairhurst, M.C.
(2007)
A method for the synthesis of dynamic biometric signature data.
In Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).
IEEE.
5 pp
.
(doi:10.1109/ICDAR.2007.4378697).
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Conference or Workshop Item
(Paper)
Abstract
This paper describes a novel method for the generation of synthetic handwritten signatures, in the form of a series of time-stamped pen data channels, for use in dynamic signature verification experimentation. The technique introduces modelled variability within the generated data based on variation that is naturally found within genuine source data. Experimentation using the SVC2004 dataset and a commercial signature verification engine shows that the synthesized data achieves comparative verification performance to the use of genuine data.
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e-pub ahead of print date: 12 November 2007
Venue - Dates:
Ninth International Conference on Document Analysis and Recognition, , Curitiba, Brazil, 2007-09-23 - 2007-09-26
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Local EPrints ID: 489864
URI: http://eprints.soton.ac.uk/id/eprint/489864
PURE UUID: e825d061-f1e6-472d-9df2-817354022d25
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Date deposited: 07 May 2024 16:30
Last modified: 08 May 2024 02:08
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Contributors
Author:
C. Rabasse
Author:
R.M. Guest
Author:
M.C. Fairhurst
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