A Deep Convolutional Neural Networks Approach for Word-Level Handwritten Script Identification Using a Large Dataset

Author:

El Bahy Siham,Aboutabit Noureddine,Ait Mait Hind

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Communications in Computer and Information Science;S Ukil,2021

2. Kanoun, S., et al.: Script and nature differentiation for Arabic and Latin text images. In: Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition. IEEE (2002)

3. Hochberg, J., et al.: Script and language identification for handwritten document images. Int. J. Doc. Anal. Recogn. 2(2) (1999)

4. Moussa, S.B., et al.: Fractal-based system for Arabic/Latin, printed/handwritten script identification. In: 2008 19th International Conference on Pattern Recognition. IEEE (2008)

5. Benjelil, M., et al.: Arabic and Latin script identification in printed and handwritten types based on steerable pyramid features. In: 2009 10th International Conference on Document Analysis and Recognition. IEEE (2009)

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