Abstract
Today biometric techniques are based either on passive (e.g. IrisScan, Face) or active methods (e.g. voice and handwriting). In our work we focus on evaluation of the latter. These methods, also described as behavioral Biometric, are characterized by a trait that is learnt and acquired over time. Several approaches for user authentication have been published, but today they have not yet been evaluated under cultural aspects such as language, script and personal background of users. Especially for handwriting such cultural aspects can lead to a significant and essential outcome, as different spoken and written languages are being used and also the script used for handwriting is different in nature.
This publication has been produced with the assistance of the European Union (project Culture Tech, see http://amsl-smb.cs.unimagdeburg.de/culturetech/).
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Wolf, F., Basu, T.K., Dutta, P.K., Vielhauer, C., Oermann, A., Yegnanarayana, B. (2006). A Cross-cultural Evaluation Framework for Behavioral Biometric User Authentication. In: Spiliopoulou, M., Kruse, R., Borgelt, C., Nürnberger, A., Gaul, W. (eds) From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31314-1_80
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DOI: https://doi.org/10.1007/3-540-31314-1_80
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