Convolutional Neural Network for Machine-Printed Traditional Mongolian Font Recognition-Reference-Cited by-同舟云学术

Convolutional Neural Network for Machine-Printed Traditional Mongolian Font Recognition

Published:2018 Issue: Volume: Page:265-274
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Wei Hongxi,Wen Ya,Wang Weiyuan,Gao Guanglai

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04221-9_24

Reference24 articles.

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2. Jung, M., Shin, Y., Srihari, N.: Multifont classification using typographical attributes. In: Proceedings of ICDAR 1999, pp. 353–356. IEEE Press, New York (1999)

3. Moussa, B., Zahour, A., Benabdelhafid, A., Alimi, M.: New features using fractal multi-dimensions for generalized Arabic font recognition. Pattern Recogn. Lett. 31(5), 361–371 (2010)

4. Lutf, M., You, X., Cheung, Y., Chen, P.: Arabic font recognition based on diacritics features. Pattern Recogn. 47(2), 672–684 (2014)

5. Zhu, Y., Tan, T., Wang, Y.: Font recognition based on global texture analysis. IEEE Trans. Pattern Anal. Mach. Intell. 23(10), 1192–1200 (2001)

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