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Towards Force Standardisation for Signature Capture Devices

Guest, Richard (2009) Towards Force Standardisation for Signature Capture Devices. In: Zinterhof, P., ed. 2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis. IEEE, pp. 489-493. ISBN 978-1-4244-5649-9. (doi:10.1109/ISPA.2009.5297677) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ISPA.2009.5297677

Abstract

A current focus within biometric technology research and development is the definition of international standards to enable interoperability of modality data collected on multiple devices and biometric processing engines. The human signature is a widely used form of biometric verification with widespread legal admissibility and acceptability for verification purposes. Within automatic signature verification systems the force of the pen exerted on a writing surface during signing is a commonly used `dynamic' feature for performance comparison, however data returned across devices is not normalized with respect to common return values or physical measurements. In this paper an initial investigation into normalising force values from a series of common capture devices is presented and data interoperability is demonstrated through the use of a statistical comparison of feature value populations.

Item Type: Book section
DOI/Identification number: 10.1109/ISPA.2009.5297677
Uncontrolled keywords: biometrics; force measurement; research and development; standards development; engines; humans; law; legal factors; handwriting recognition; writing
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 11 Jan 2010 14:26 UTC
Last Modified: 23 Jul 2019 08:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/23301 (The current URI for this page, for reference purposes)
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