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...

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Detalles Bibliográficos
Autores principales: Naz, Saeeda, Umar, Arif Iqbal, Ahmed, Riaz, Razzak, Muhammad Imran, Rashid, Sheikh Faisal, Shafait, Faisal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
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

Internet

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

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