Handwritten Arabic numerals recognition using convolutional neural network-Reference-Cited by-同舟云学术

Handwritten Arabic numerals recognition using convolutional neural network

Published:2020-03-28 Issue:11 Volume:11 Page:5445-5457
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Ahamed Pratik,Kundu Soumyadeep,Khan Tauseef,Bhateja Vikrant,Sarkar Ram,Mollah Ayatullah Faruk

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-020-01901-7.pdf

Reference59 articles.

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3. Ahmad A, Maen H (2008) Recognition of on-line handwritten Arabic digits using structural features and transition network. Informatica 32(3):275–281

4. Akhand MAH, Ahmed M, Rahman MH, Islam MM (2018) Convolutional neural network training incorporating rotation-based generated patterns and handwritten numeral recognition of major indian scripts. IETE J Res 64(2):176–194. https://doi.org/10.1080/03772063.2017.1351322

5. Alaei A, Pal U, Nagabhushan P (2009) Using modified contour features and SVM based classifier for the recognition of Persian/Arabic handwritten numerals. In: Proceedings of the 7th international conference on advances in pattern recognition. Kolkata, India: IEEE, pp 391–394. https://doi.org/10.1109/ICAPR.2009.14

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