{"title":"Simultaneous Segmentation and Recognition of Arabic Characters in an Unconstrained On-Line Cursive Handwritten Document","authors":"Randa I. Elanwar, Mohsen A. Rashwan, Samia A. Mashali","volume":5,"journal":"International Journal of Computer and Information Engineering","pagesStart":1326,"pagesEnd":1330,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/15152","abstract":"<p>The last two decades witnessed some advances in the development of an Arabic character recognition (CR) system. Arabic CR faces technical problems not encountered in any other language that make Arabic CR systems achieve relatively low accuracy and retards establishing them as market products. We propose the basic stages towards a system that attacks the problem of recognizing online Arabic cursive handwriting. Rule-based methods are used to perform simultaneous segmentation and recognition of word portions in an unconstrained cursively handwritten document using dynamic programming. The output of these stages is in the form of a ranked list of the possible decisions. A new technique for text line separation is also used.<\/p>\r\n","references":"[1] Re-jean Plamondon and N. Srihari, \"On-line and off-line handwriting\r\nrecognition: a comprehensive survey,\" IEEE transactions on pattern\r\nanalysis and machine intelligence, vol. 22, No. 1, January 2000.\r\n[2] Yasser Hifny, \"On-line Arabic handwriting recognition,\" M.S. thesis,\r\nDept. Communication and Electronics Eng., Cairo Univ., Egypt, 2000.\r\n[3] Hazem Y. Abdelazim, \"Recent trends in Arabic OCR,\" in Proc. 5th\r\nConference of Engineering Language, Ain Shams University, 2005.\r\n[4] R. A. Cole, J. Mariani, H. Uszkoreit, A. Zaenen, and V. Zue, Survey of\r\nthe State of the Art in Human Language Technology. Center for Spoken\r\nLanguage Understanding CSLU, Carnegie Mellon University,\r\nPittsburgh, PA, 1995.\r\n[5] E.H. Ratzlaff, \"Inter-line Distance Estimation and Text Line Extraction\r\nFor Unconstrained Online Handwriting,\" in Proc. 7th International\r\nWorkshop on Frontiers in Handwriting Recognition, pp. 33-42, 2000.\r\n[6] Gareth Loudon, Olle Pellijeff, and LI Zhong-Wei, \"A Method for\r\nHandwriting Input and Correction on Smartphones,\" in Proc. 7th\r\nInternational Workshop on Frontiers in Handwriting Recognition, pp.\r\n481-485, 2000.\r\n[7] H. Shimodaira, T. Sudo, M. Nakai, and S. Sagayama, \"On-line Overlaid-\r\nHandwriting Recognition Based on Substroke HMMs,\" in Proc. ICDAR,\r\n2003.\r\n[8] J. Lee, J. Kim, and J. H. Kim, \"Data driven design of HMM topology for\r\non-line handwriting recognition,\" in Proc. 7th International Workshop\r\non Frontiers in Handwriting Recognition, pp. 239-248, 2000.\r\n[9] Han Shu, \"On-Line Handwriting Recognition Using Hidden Markov\r\nModels,\" M.S. thesis, Massachusetts Institute of Technology, 1997.\r\n[10] Daniel Jurafski and James H. Martin, \"Speech and Language Processing:\r\nAn introduction to Natural Language processing, computational\r\nLinguistic and Speech recognition,\" Prentice-Hall, 2000, pp. 156.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 5, 2007"}