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A New Approach to Automatic Signature Complexity Assessment

Guest, Richard, Miguel-Hurtado, Oscar, Chatzisterkotis, Thomas (2017) A New Approach to Automatic Signature Complexity Assessment. In: 2016 IEEE International Carnahan Conference on Security Technology (ICCST). . IEEE ISBN 978-1-5090-1073-8. E-ISBN 978-1-5090-1072-1. (doi:10.1109/CCST.2016.7815678)

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https://doi.org/10.1109/CCST.2016.7815678

Abstract

Understanding signature complexity has been shown to be a crucial facet for both forensic and biometric appbcations. The signature complexity can be defined as the difficulty that forgers have when imitating the dynamics (constructional aspects) of other users signatures. Knowledge of complexity along with others facets such stability and signature length can lead to more robust and secure automatic signature verification systems. The work presented in this paper investigates the creation of a novel mathematical model for the automatic assessment of the signature complexity, analysing a wider set of dynamic signature features and also incorporating a new layer of detail, investigating the complexity of individual signature strokes. To demonstrate the effectiveness of the model this work will attempt to reproduce the signature complexity assessment made by experienced FDEs on a dataset of 150 signature samples.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/CCST.2016.7815678
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Tina Thompson
Date Deposited: 07 Nov 2016 10:16 UTC
Last Modified: 29 May 2019 18:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58433 (The current URI for this page, for reference purposes)
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