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Enhancing off-line biometric signature verification using a fingerprint assessment approach

Guest, Richard and Miguel-Hurtado, Oscar (2011) Enhancing off-line biometric signature verification using a fingerprint assessment approach. In: 2011 Carnahan Conference on Security Technology. IEEE, pp. 1-4. ISBN 978-1-4577-0902-9. E-ISBN 978-1-4577-0903-6. (doi:10.1109/CCST.2011.6095883) (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/CCST.2011.6095883

Abstract

A method designed for matching biometric fingerprint images is applied to the static/image-based ”off-line” human signature modality. Using a publically available signature dataset, the verification performance is compared against three existing static methods. Furthermore, verification is assessed using all four methods within a multi-classifier system. The results show the application of the fingerprint method leads to a comparable performance with existing methods and a significant improvement is achieved within a multi-classifier configuration.

Item Type: Book section
DOI/Identification number: 10.1109/CCST.2011.6095883
Uncontrolled keywords: fingerprint recognition; handwriting recognition; educational institutions; Gabor filters; training; biomedical imaging; matched filters
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Tina Thompson
Date Deposited: 30 Oct 2013 17:02 UTC
Last Modified: 24 Sep 2019 10:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35851 (The current URI for this page, for reference purposes)
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