Abstract
This paper presents a novel approach that uses the dynamic time warping (DTW) to match the crucial points of signatures. Firstly, the signatures are aligned through the DTW and the crucial points of signatures are matched according to the mapping between the signatures. Then the signatures are segmented at these matched crucial points and the comparisons are accomplished between these segments. Experimental results show that such a strategy is quite promising.
This work was supported by the NSF of China (Nos.60472111 and 60405002).
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Quan, ZH., Ji, Hw. (2005). Aligning and Segmenting Signatures at Their Crucial Points Through DTW. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_6
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DOI: https://doi.org/10.1007/11538059_6
Publisher Name: Springer, Berlin, Heidelberg
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