{"title":"A Novel Approach to Persian Online Hand Writing Recognition","authors":" Ramin Halavati, Mansour Jamzad, Mahdieh Soleymani","volume":11,"journal":"International Journal of Computer and Information Engineering","pagesStart":3546,"pagesEnd":3551,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/13915","abstract":"
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.<\/p>\r\n","references":"[1] A. M. Alimi, \"A Neuro-Fuzzy Approach to Recognize Arabic\r\nHandwritten Characters\", IEEE International Conference on Neural\r\nNetwork, vol. 3, pp. 1397 - 1400, 1997.\r\n[2] I. S. I. Abuhaiba, M. J. J. Holt, S. Datta, \"Recognition of Off-Line\r\nCursive Handwriting\", Computer Vision and Image Processing, Vol. 71,\r\nNo. 1, pp. 19-38, 1998.\r\n[3] I. S. I. Abuhaiba, S. A. Mahmoud, R. J. Green, \"Recognition of\r\nHandwritten Cursive Arabic Characters\", IEEE Trans. on Pattern\r\nAnalysis and Machine Intelligence, Vol. 16, No. 6, 1994.\r\n[4] A.Cheung, M. Bennamoun, N. W. Bergmann, \"An Arabic Optical\r\nCharacter Recognition System Using Recognition-Based Segmentation\",\r\nPattern Recognition, vol. 34, pp. 215-233, 2001.\r\n[5] A. Al-Emami, M. Usher, \"On-line Recognition of Handwritten Arabic\r\nCharacters\", IEEE Trans. on Pattern Analysis and Machine Intelligence,\r\nVol. 12, No. 7, 1990.\r\n[6] Romesh Ranawana, Vasile Palade, G.E.M.D.C. Bandara, \"An Efficient\r\nFuzzy Method for Handwritten Character Recognition\", Proceedings of\r\nKES-2004.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 11, 2007"}