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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Plamondon, R., Lorette, G.: Automatic Signature Verification and Writer Identification-The state of the Art. Pattern Recognition 22(7) (July 1989)
Leclerc, F., Plamondon, R.: Automatic Signature Verification: the state ofthe art-1989-1993. Int. J. Pattern Recognition Artif. Intel. 8(3) (1994)
Yue, K.W., Wijesoma, W.S.: Improved Segmentation and Segment Association for on-line Signature Verification. In: 2000 IEEE International Conference on Systems, Man, and Cybernetics, vol. 4 (2000)
Brault, J.-J., Plamondon, R.: Segmenting Handwritten Signatures at Their Perceptually Important Points. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(9) (1993)
Lee, J., Yoon, H.-S., Soh, J., Chun, B.T., Chung, Y.K.: Using Geometric Extrema for Segment-to-Segment Characteristics Comparison in Online Signature Verification. Pattern Recognition 37(1) (January 2004)
Hong, G., Xianji, J.: The Extract Algorithm of Special Points in Signature Based on Dynamic Information. J. of Wuhan Uni. of Sci. & Tech. (Natural Science Edition) 24(2) (June 2001)
Kui, Z., Xianji, J., Xiandeng, P.: An Approach of Handwritting Signatures Comparision Based on Functional Parameter. Mini-Mcro Systems 20(6) (June 1999)
Lee, W.-S., Mohankrishnan, N., Mark Paulik, J.: Improved Segmentation through Dynamic Time Warping for Signature Verification Using a Nerual Network Classifier. In: ICIP 1998, vol. 2 (1998)
Keogh, E., Pazzani, M.: Derivative Dynamic Time Warping. In: First SIAM International Conference on Data Mining (SDM 2001), Chicago, USA (2001)
Guimin, Z., Limin, X., Aibin, C.: Rapid Verification for Handwriting Signature. Computer Engineering 29(7) (May 2003)
Martens, R., Claesen, L.: On-Line Signature Verification by Dynamic Time-Warping. In: IEEE Proceedings of ICPR 1996 (1996)
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© 2005 Springer-Verlag Berlin Heidelberg
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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
Print ISBN: 978-3-540-28226-6
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