A New Method to Improve Multi Font Farsi/Arabic Character Segmentation Results: Using Extra Classes of Some Character Combinations

Author:

Omidyeganeh Mona,Azmi Reza,Nayebi Kambiz,Javadtalab Abbas

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Omidyeganeh, M., Nayebi, K., Azmi, R., Javadtalab, A.: A New Segmentation Technique for Multi Font Farsi/Arabic Texts. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings (ICASSP 2005), vol. 2, pp. 757–760 (2005)

2. Al-Muallim, H., Yamaguchi, S.: A method of recognition of Arabic Cursive Handwriting. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-9, 715–722 (1987)

3. Amin, A.: Off-line Arabic character recognition: the state of the art. Pattern Recognition 31, 517–530 (1998)

4. Amin, A., Masini, G.: Machine Recognition of Multifont printed Arabic Texts. In: Proc. 8th Int. Conf. on Pattern Recognition, Paris, pp. 295–392 (1986)

5. Azmi, R., Kabir, E.: A New Segmentation Technique for Omnifont Farsi Text. Pattern Recognition Letters 22, 97–104 (2001)

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