@inproceedings{scholars319,
            year = {2008},
             doi = {10.1109/ITSIM.2008.4631744},
            note = {cited By 12; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115},
          volume = {2},
         journal = {Proceedings - International Symposium on Information Technology 2008, ITSim},
         address = {Kuala Lumpur},
           title = {Arabic handwriting recognition: Challenges and solutions},
            isbn = {9781424423286},
          author = {Aburas, A. A. and Gumah, M. E.},
        abstract = {Optical Characters Recognition (OCR) is one of the active subjects of research since the early days of computer science. Even if Arabic characters are used by more than a half a billion people; Arabic characters recognition has not received enough interests by the researchers. Little research progress has been achieved comparing to what has been done with Latin and Chinese. The cursive nature of the Arabic characters makes it more difficult to achieve a high accuracy in character recognition since even printed Arabic characters are in cursive form. This paper presents the main challenges (difficulties) researchers are facing and up to dated solutions (the common methods) are used for Arabic text recognition. {\^A}{\copyright} 2008 IEEE.},
        keywords = {Arabic characters; Arabic handwritings; Arabic text recognitions; High accuracies; Little researches; Optical-, Character recognition; Ionizing radiation, Information technology},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349138419&doi=10.1109\%2fITSIM.2008.4631744&partnerID=40&md5=61bfe7cfb9172269a828ccca8fbec097}
}