A Novel Approach to Persian Online Hand Writing Recognition
Persian (Farsi) script is totally cursive and each character is written in several different forms depending on its former and later characters in the word. These complexities make automatic handwriting recognition of Persian a very hard problem and there are few contributions trying to work it out. This paper presents a novel practical approach to online recognition of Persian handwriting which is based on representation of inputs and patterns with very simple visual features and comparison of these simple terms. This recognition approach is tested over a set of Persian words and the results have been quite acceptable when the possible words where unknown and they were almost all correct in cases that the words where chosen from a prespecified list.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1082009Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 864
 A. M. Alimi, "A Neuro-Fuzzy Approach to Recognize Arabic Handwritten Characters", IEEE International Conference on Neural Network, vol. 3, pp. 1397 - 1400, 1997.
 I. S. I. Abuhaiba, M. J. J. Holt, S. Datta, "Recognition of Off-Line Cursive Handwriting", Computer Vision and Image Processing, Vol. 71, No. 1, pp. 19-38, 1998.
 I. S. I. Abuhaiba, S. A. Mahmoud, R. J. Green, "Recognition of Handwritten Cursive Arabic Characters", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 16, No. 6, 1994.
 A.Cheung, M. Bennamoun, N. W. Bergmann, "An Arabic Optical Character Recognition System Using Recognition-Based Segmentation", Pattern Recognition, vol. 34, pp. 215-233, 2001.
 A. Al-Emami, M. Usher, "On-line Recognition of Handwritten Arabic Characters", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, 1990.
 Romesh Ranawana, Vasile Palade, G.E.M.D.C. Bandara, "An Efficient Fuzzy Method for Handwritten Character Recognition", Proceedings of KES-2004.