Abstract
The human signature is still the most widely used and accepted form of personal authorisation and verification applied to documents and transactions. In this paper we describe the design and implementation of a flexible and highly configurable framework for the experimental construction and performance investigation of biometric signature verification systems. We focus on a design approach which encompasses a general process model for automatic signature processing, reference instances relating to specific data parsing, feature extraction and classification algorithms and detail the provision of a framework whereby unique signature systems can be easily constructed, trialed and assessed.
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Guest, R., Fairhurst, M., Vielhauer, C. (2006). Towards a Flexible Framework for Open Source Software for Handwritten Signature Analysis. 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_76
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DOI: https://doi.org/10.1007/3-540-31314-1_76
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