An improved discriminative region selection methodology for online handwriting recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s10032-018-0314-1.pdf
Reference39 articles.
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3. Singh, S., Sharma, A., Chhabra, I.: A dominant points-based feature extraction approach to recognize online handwritten strokes. Int. J. Doc. Anal. Recognit. (IJDAR) 20(1), 37–58 (2017)
4. Zhang, S., Jin, L., Lin, L.: Discovering similar Chinese characters in online handwriting with deep convolutional neural networks. Int. J. Doc. Anal. Recognit. 19(3), 237–252 (2016)
5. Tagougui, N., Kherallah, M., Alimi, A.M.: Online Arabic handwriting recognition: a survey. Int. J. Doc. Anal. Recognit. 16(3), 209–226 (2013)
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