Abstract
In the paper two methods of signature points reduction are presented. The reduction is based on selecting signature’s characteristic points. The first method is based on seeking points of the highest curvature using the IPAN99 algorithm. Parameters of the algorithm are selected automatically for each signature. The second method uses a comparative analysis of equal ranges of points in each signature. For both of methods the way of determination of characteristic points has been shown. As a result of experiments carried out the effectiveness of both methods and its usefulness for signature recognition and verification has been presented.
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Kostorz, I., Doroz, R. (2011). On-Line Signature Recognition Based on Reduced Set of Points. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_1
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DOI: https://doi.org/10.1007/978-3-642-20320-6_1
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