Handwritten Arabic text recognition using multi-stage sub-core-shape HMMs
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/s10032-019-00339-8.pdf
Reference42 articles.
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2. Ahmad, I., Fink, G.A.: Multi-stage HMM based Arabic text recognition with rescoring. In: Proceedings of the 13th International Conference on Document Analysis and Recognition (ICDAR 2015), pp. 751–755. IEEE (2015). https://doi.org/10.1109/ICDAR.2015.7333862
3. Ahmad, I., Rothacker, L., Fink, G., Mahmoud, S.: Novel sub-character HMM models for Arabic text recognition. In: Proceedings of the International Conference on Document Analysis and Recognition. ICDAR (2013). https://doi.org/10.1109/ICDAR.2013.135
4. Ahmad, I., Fink, G.A., Mahmoud, S.A.: Improvements in sub-character HMM model based Arabic text recognition. In: Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition (ICFHR 2014), pp. 537–542. IEEE, Crete (2014). https://doi.org/10.1109/ICFHR.2014.96
5. Al-Badr, B., Mahmoud, S.A.: Survey and bibliography of Arabic optical text recognition. Sig. Process. 41(1), 49–77 (1995)
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