A technique for estimating handwritten signature complexity based on human perceptual criteria

Kaplani, Eleni and Fairhurst, Michael C. (2002) A technique for estimating handwritten signature complexity based on human perceptual criteria. In: UNSPECIFIED.

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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)
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: 07 May 2020 00:12
URI: https://ueaeprints.uea.ac.uk/id/eprint/55089
DOI:

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