New Rules to Enhance the Performances of Histogram Projection for Segmenting Small-Sized Arabic Words

Author:

Amara Marwa,Zidi Kamel,Ghedira Khaled,Zidi Salah

Publisher

Springer International Publishing

Reference12 articles.

1. Amara, M., Zidi, K.: Feature selection using a neuro-genetic approach for arabic text recognition. In: Meta heuristics and Nature Inspired Computing (2012)

2. Amara, M., Zidi, K.: Arabic text recognition based on neuro-genetic feature selection approach. In: Advanced Machine Learning Technologies and Applications, pp. 3–10. Springer International Publishing (2014)

3. Alginahi, Y.M.: A survey on arabic character segmentation. Int. J. Doc. Anal. Recogn. 16(2), 105–126 (2013)

4. Najoua, B.A., Noureddine, E.: A robust approach for arabic printed character segmentation. Doc. Anal. Recogn. 38(4), 420–433 (1995)

5. Parhami, B., Taraghi, M.: Automatic recognition of printed Farsi texts. Pattern Recogn. 14(1), 395–403 (1981)

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