To recognize the manuscript texts of Arabic letters in ancient Uzbek script

ABSTRACT This article describes the Hemming method of the neural model for automatic identification of Arabic texts on the computer. The main problem of recognizing manuscript mantles in Arabic is that of the elements that they have created. Usually, the text is divided into rows, and then separated by separate words. The development of the Arabic language signifies a great deal of controversy over Arabic language. Hemming is based on the neuronal model and the description of the software product. References Young, al., the HTK Book V3.4 Cambridge University Press, Cambridge UK, 2006 M. T. Parvez, A. M. Sabri, Arabic handwriting recognition using structural and syntactic pattern attributes. Pattern Recognition 46 (2013) 141-154. Azmi and R. S. Almajed. A survey of automatic Arabic diacritization techniques. Natural Lang. Eng. 21(3) 2013) 477–495. Ananthakrishnan, S. Narayanan, and S. Bangalore. Automatic diacritization of arabic transcripts for automatic speech recognition. 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Antennas Propag. vol. 58, no. 5, pp. 1614–1624, May 2010. A Survey on Arabic Character Recognition. International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 8, No. 2 (2015), pp. 401-426. Download all article in PDF WSN 115 (2019) 160-173

To recognize the manuscript texts of Arabic letters in ancient Uzbek script

Author: Iskandarova Sayyora Nurmamatovna, 115 (2019) 160-173

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To recognize the manuscript texts of Arabic letters in ancient Uzbek script

Author: Iskandarova Sayyora Nurmamatovna, 115 (2019) 160-173

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