R.A. Haraty and H.M. El-Zabadani
[1] Y. Bengio, P. Simard, & P. Frasconi, Learning long-termdependencies with gradient descent difficult, IEEE Trans. onNeural Networks, 5 (2), 1994, 157–166. doi:10.1109/72.279181 [2] K. Han & I.K. Sethi, Off-line cursive handwriting segmentation,Proc. ICDAR, Montreal, Canada, 1995, 894–897. [3] S.N. Srihari, V. Govindaraju, & A. Shekhawat, Interpretationof handwritten addresses in US mail stream, Proc. ICDAR,Tsukuba City, Japan, 1993, 291–294. [4] T.M. Breuel, A system for the off-line recognition of handwrittentext, Technical Report 94-02, IDIAP, CP 609, 1994. [5] B. Eastwood, A. Jennings, & A. Harvey, A feature based neuralnetwork segmenter for handwritten words, Proc. Int. Conf.on Computational Intelligence and Multimedia Applications,Queensland, Australia, 1997, 286–290. [6] S.W. Lee & Y. Kim, A new type of recurrent neural networkfor handwritten character recognition, IEEE Trans. on PatternRecognition, 28(12), 1995, 1941–1953. doi:10.1016/0031-3203(95)00041-0 [7] R.A. Haraty & A. Hamid, Segmenting handwritten Arabictext, ACIS International Journal of Computer and InformationScience (IJCIS), 3(4), 2002, 247–258. [8] J.B. Bellegarda, D. Nahamoo, K.S. Nathan, & E.J. Bellegarda,Supervised hidden Markov modeling for on-line handwritingrecognition, Proc. Int. Conf. on Acoustics, Speech and SignalProcessing, 5, 1994, 149–152. [9] M. Blumenstein & B. Verma, A segmentation algorithm used inconjunction with artificial neural networks for the recognitionof real-world postal addresses, Proc. Int. Conf. on Computational Intelligence and Multimedia Applications, Queensland, Australia, 1997, 155–160. [10] M. Cheriet & C.Y. Suen, Extraction of key letters for cursivescript recognition Pattern Recognition Letters, 14, 1993, 1009–1017. [11] S. Haykin, A comprehensive foundation for neural networks(Prentice Hall: Upper Saddle River, NJ, 1994). [12] M. Melhi, S. Ipson, & W. Booth, A novel triangulationprocedure for thinning hand-written text, Pattern RecognitionLetters, 22, 2001, 1059–1071. doi:10.1016/S0167-8655(01)00038-1 [13] A. Amin & W. Mansoor, Recognition of printed Arabic textusing neural networks, Proc. 4th Int. Conf. on DocumentAnalysis and Recognition, Tsukuba City, Japan, 1997, 612–615. doi:10.1109/ICDAR.1997.620576 [14] A. ElGammal & M. Ismail, A graph-based segmentation andfeature extraction framework for Arabic text recognition, Proc.6th Int. Conf. on Document Analysis and Recognition, Seattle,Washington, 2001. [15] K. Hadjar & R. Ingold, Arabic newspaper page segmentation,Proc. 7th Int. Conf. on Document Analysis and Recognition,Edinburgh, Scotland, 2003. [16] M. Pechwitz & V. Maergner, HMM based approach for hand-written Arabic word recognition using the IFN/ENIT database,Proc. 7th Int. Conf. on Document Analysis and Recognition,Edinburgh, Scotland, 2003. [17] N. Mezghani, M. Cheriet, & A. Mitiche, Combination ofpruned Kohonen maps for on-line Arabic characters recognition,Proc. 7th Int. Conf. on Document Analysis and Recognition,Edinburgh, Scotland, 2003. [18] A. Amin, Recognition of printed Arabic text based on globalfeatures and decision tree learning techniques, Pattern Recognition, 33 (8), 2000, 1309–1323. doi:10.1016/S0031-3203(99)00114-4 [19] M. Fahmy and S. Al Ali, Automatic recognition of handwrittenArabic characters using their geometrical features, Journal ofStudies in Informatics and Control with Emphasis on UsefulApplications of Advanced Technology, 10(2), 2001. [20] M. Abuhaiba, M. Holt, & S. Datta, Processing of binaryimages of handwritten cursive Arabic characters, IEEE Trans.on Pattern Analysis and Machine Intelligence (PAMI), 16(6),1994, 664–672. doi:10.1109/34.295912 [21] S.N. Srihari & R.M. Bozinovic, A multi-level perception approach to reading cursive script, Artificial Intelligence, 33, 1987, 217–255. doi:10.1016/0004-3702(87)90035-X [22] L. Almeida, Multilayer perceptrons: handbook of neural computation (IOP/Oxford University Press, 1997). [23] A. Rosenfeld, A characterization of parallel thinnning algorithms, information Control, 29, 1975, 286-291. doi:10.1016/S0019-9958(75)90448-9 [24] S.W. Lee, D.J. Lee, & H.S. Park, A new methodology for gray-scale character segmentation and recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence, 18, 1996, 1045-1051. doi:10.1109/34.506415
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