Abstract
This paper presents a human identifying system on the basis of their signature image analysis. For feature extraction, the system uses the view-based approach with one of the three versions of Dynamic Time Warping (DTW) method. The experiments are carried out for each of the three versions of DTW and use various combinations of feature vectors. The average percentage of properly classified signatures has achieved 84%
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Saeed, K., Adamski, M. (2007). Signature Verification by View-Based Feature Extractor and DTW Classifier. In: Pejaś, J., Saeed, K. (eds) Advances in Information Processing and Protection. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73137-7_29
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DOI: https://doi.org/10.1007/978-0-387-73137-7_29
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-73136-0
Online ISBN: 978-0-387-73137-7
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