Kaplani, Eleni and Fairhurst, Michael C. (2002) A technique for estimating handwritten signature complexity based on human perceptual criteria. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In spite of the numerous algorithms for automating the verification of handwritten signatures that have been proposed over the years, there are still many handwritten signatures that can cause a system to underperform significantly. Two main elements are responsible for this: the variability of a signature and its complexity. Studies reported analyse these elements in much detail, and include an estimation of a signature's complexity in terms of the difficulty that a potential forger would encounter in an attempt to reproduce it dynamically. This paper introduces a technique to estimate the complexity of a signature image based on knowledge acquired from a human experiment, where 'complexity' is viewed from a different perspective. Importantly, the measure we propose is based entirely on the static signature image.
Item Type: | Conference or Workshop Item (Poster) |
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Additional Information: | Proc. PREP 2002 International Conference, Nottingham, UK |
Faculty \ School: | Faculty of Science > School of Mathematics |
Depositing User: | Pure Connector |
Date Deposited: | 11 Nov 2015 11:00 |
Last Modified: | 04 Aug 2021 23:40 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/55089 |
DOI: |
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