Arabic Text Extraction by Convolutional Neural Network Through Robust Dataset Design

Author:

Hasan Mosin,Tanawala Bhavesh,Dhruti N.,Bhalerao Ketan,Patel Dhruvkumar

Publisher

Springer Singapore

Reference20 articles.

1. Al-Muhtaseb, H.A.: Arabic text recognition of printed manuscripts efficient recognition of offline printed Arabic text using hidden markov models, bigram statistical language model, and post-processing (n.d.)

2. Zhan, Y., Wang, W.: A robust split-and-merge text segmentation approach for images. In: International Conference on Pattern Recognition, pp. 1002–1005 (2006)

3. Hoang, T.V., Tabbone, S.: Text extraction from graphical document images using sparse representation (2010)

4. Shivakumara, P., Dutta, A.: A new method for handwritten scene text detection in video. In: International Conference On Frontiers In Handwriting Recognition, pp. 16–18 (2010)

5. Gopalan, C., Manjula, D.: Text region segmentation from heterogeneous images. Int. J. Comput. Sci. Netw. Secur. 108–113 (2008)

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