VerSig: a new approach for online signature verification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/content/pdf/10.1007/s10586-017-1129-4.pdf
Reference38 articles.
1. Iranmanesh, V., et al.: Online handwritten signature verification using neural network classifier based on principal component analysis. Sci. World J. (2014). doi: 10.1155/2014/381469
2. Fischer, A., Plamondon, R.: Signature verification based on the kinematic theory of rapid human movements. IEEE Trans. Human Mach. Syst. 47(2), 169–180 (2017)
3. Plamondon, R., Lorette, G.: Automatic signature verification and writer identification–the state of the art. Pattern Recognit. 22(2), 107–131 (1989)
4. Feng, H., ChoongWah, C.: Online signature verification using a new extreme points warping technique. Pattern Recognit. Lett. 24(16), 2943–2951 (2003)
5. Richiardi, J., Ketabdar, H., Drygajlo, A.: Local and global feature selection for on-line signature verification. In: 2005 Proceedings Eighth International Conference on Document Analysis and Recognition. IEEE (2005)
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