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 voice and 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. 1 Motivation The goal of our work is to analyze cross-cultural aspects of handwriting data as a digital input for biometric user authentication. Therefore, we have designed and developed a biometric evaluation framework within the CultureTech project which focuses on cultural imp...
Franziska Wolf, T. K. Basu, Pranab K. Dutta, Claus