Evaluating Biometric Encryption Key Generation using Handwritten Signatures

Hoque, Sanaul and Fairhurst, Michael and Howells, Gareth (2008) Evaluating Biometric Encryption Key Generation using Handwritten Signatures. In: 2008 ECSIS Symposium on Bio-Inspired, Learning and Intelligent Systems for Security (BLISS 2008), AUG 04-06, 2008, Edinburgh, UK. (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)

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In traditional cryptosystems, user authentication is based on the possession of secret keys/tokens. Such keys can be forgotten, lost, stolen, or may be illegally shared, but an ability to relate a ctyptographic key to biometric data can enhance the trustworthiness of a system. In this paper, we demonstrate how biometric keys can be generated directly from live biometrics, under certain conditions, by partitioning feature space into subspaces and partitioning these into cells, where each cell subspace contributes to the overall key generated. We evaluate the proposed scheme on real biometric data, representing both genuine samples and attempted imitations. Experimental results then demonstrate the extent to which the proposed technique can be implemented reliably in possible practical scenarios

Item Type: Conference or workshop item (Paper)
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 > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 20 Apr 2009 15:21
Last Modified: 23 May 2014 09:28
Resource URI: https://kar.kent.ac.uk/id/eprint/15478 (The current URI for this page, for reference purposes)
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