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Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks
The recognition of Arabic script and its derivatives such as Urdu, Persian, Pashto etc. is a difficult task due to complexity of this script. Particularly, Urdu text recognition is more difficult due to its Nasta’liq writing style. Nasta’liq writing style inherits complex calligraphic nature, which...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5122597/ https://www.ncbi.nlm.nih.gov/pubmed/27942426 http://dx.doi.org/10.1186/s40064-016-3442-4 |