Unrestricted Handwritten Character Segmentation Method Based on Connected Domain and Dripping Algorithm
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-2568-1_177
Reference12 articles.
1. Gao, L., Zhang, X., Zhi, T., et al.: A sequence labeling based approach for character segmentation of historical documents. In: Iapr International Workshop on Document Analysis Systems (2018)
2. Zhao, B., Su, H., Xia, S.: An unconstrained handwritten digit string segmentation method. Chin. J. Inform. Sci. 03, 22–29 (1998)
3. Bluche, T., Stutzmann, D., Kermorvant, C.: Automatic handwritten character segmentation for paleographical character shape analysis. In: Document Analysis Systems (2016)
4. Vo, Q.N., Kim, S.H., Yang, H.J., et al.: Text line segmentation using a fully convolutional network in handwritten document images. IET Image Proc. 12(3), 438–446 (2018)
5. Choudhary, A., Kumar, V.: A robust technique for handwritten words segmentation into individual characters. In: Speech and Language Processing for Human-Machine Communications, pp. 99–106 (2018)
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