Low Pass Filter-Based Enhancement of Arabic Handwritten Document Images

Author:

Ravikumar M.,Boraik Omar Ali

Publisher

Springer Singapore

Reference14 articles.

1. Ahmed, R.I.O., Musa, M.E.M.: Preprocessing phase for offline arabic handwritten character recognition. Int. J. Comput. Appl. Technol. Res. 5(12), 760–763 (2016)

2. Biswas, D.: Novel gray scale conversion techniques based on pixel depth. J. Glob. Res. Comput. Sci. 2(6), 118–121 (2011)

3. Vishwanath, V.N., Manaswithareddy, G., Navya, K.: The different preprocessing techniques used in handwritten telugu character recognition. Int. J. Curr. Eng. Sci. Res. (IJCESR) 5 (2018). ISSN:3293-8374

4. Boukerma, H., Farah, N.: Preprocessing algorithms for Arabic handwriting recognition system. In: International Conference on Advanced Computer Science Applications and Technologies (2012) https://doi.org/10.1109/ACSAT.2012.59

5. El Abed, H., Margner, V.: Comparison of different preprocessing and feature extraction methods for offline recognition of handwritten Arabic words. In: Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), vol. 2, p. 974. Sept 2007

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