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Proceedings Paper

Generation of artificial biometric data enhanced with contextual information for game strategy-based behavioral biometrics
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Paper Abstract

For the domain of strategy-based behavioral biometrics we propose the concept of profiles enhanced with spatial, temporal and contextual information. Inclusion of such information leads to a more stable baseline profile and as a result more secure systems. Such enhanced data is not always readily available and often is time consuming and expensive to acquire. One solution to this problem is the use of artificially generated data. In this paper a novel methodology for creation of feature-level synthetic biometric data is presented. Specifically generation of behavioral biometric data represented by game playing strategies is demonstrated. Data validation methods are described and encouraging results are obtained with possibility of expanding proposed methodologies to generation of artificial data in the domains other then behavioral biometrics.

Paper Details

Date Published: 17 March 2008
PDF: 13 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440N (17 March 2008); doi: 10.1117/12.774388
Show Author Affiliations
Roman V. Yampolskiy, Univ. at Buffalo (United States)
Venu Govindaraju, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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