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Evaluating the Security of Handwriting Biometrics

Abstract : Ongoing interest in biometric security has resulted in much work on systems that exploit the individuality of human behavior. In this paper, we study the use of handwritten passphrases in the context of authentication or cryptographic key generation. We demonstrate that accurate generative models for a targeted user's handwriting can be developed based only on captured static (offline) samples combined with pen-stroke dynamics learned from general population statistics. Our work suggests that such automated attacks are nearly as effective as skilled human forgers and hence deserve serious consideration when evaluating the security of systems that use handwriting as a biometric.
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https://hal.inria.fr/inria-00104811
Contributor : Anne Jaigu <>
Submitted on : Monday, October 9, 2006 - 2:40:04 PM
Last modification on : Saturday, February 9, 2019 - 12:54:06 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 7:02:22 PM

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  • HAL Id : inria-00104811, version 1

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Lucas Ballard, Daniel Lopresti, Fabian Monrose. Evaluating the Security of Handwriting Biometrics. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00104811⟩

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