Abstract
This article presents a new model (based on Muqla idea) used in recognition of cursive letters. It is used for creating feature vectors based on Toeplitz matrices. As the approach is used for the first time, no comparison had been made from modelling point of view. However, the way of feature vectors extraction in this approach showed its simplicity and may find its practical applications in processing and verifying both written and spoken texts. The suggested algorithm makes it possible to reduce the limiting factors [1] in recognition as it is easy to extend it to cover more vocabulary, syntax or semantic information.
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References
R. A. Cole, Editor in Chief, “Survey of the State of the Art in Human Language Technology,” Cambridge University Press, 1996.
M. H. Hassan, R. Kurowski, “An Introductory Course to Arabic Language,” WP, Cracow 1972.
K. Saeed, R. Niedzielski, “A Fast Recognition Structured Algorithm of Typewritten Cursive Scripts,”Proceedings of 6th Conference of PTSK on Simulation in Research and Development(in Polish), pp. 67–71, BialystokBialowieza 1999.
K. Saeed, “A Projection Approach for Arabic Handwritten Characters Recognition,”Proc. of International Symposium on Computational Intelligence- ISCI Aug. 31st— Sep. 1stKosice 2000, Slovakia. (Accepted for publication and presentation).
K. Saeed, “On the realization of digital filters,”Proceedings of 1st International Conference on Digital Signal Processing and its ApplicationsDSPA’98,Vol. 1, pp. 141–143,Moscow, 1998.
K. Saeed, R. Niedzielski, “Experiments on Thinning of Cursive-Style Alphabets,” Inter. Conf. on Information Technologies ITESB’99June 24–25, Minsk 1999.
M. J. Nalewajko, “Universal system for recognition of scripts using artificial neural networks,” M.Sc. Thesis, Faculty of Computer Science Technical University of Bialystok,Bialystok, July 1999.
K. Saeed,“Three-Agent System for Cursive-Scripts Recognition,” Proc. CVPRIP ‘2000 Computer Vision,Pattern Recognition and Image Proc.The 5th Joint Conf. on Information Sciences JCIS2000,Feb. 27th — March 3rd 2000, New Jersey, USA.
Burr, "Experiments on Neural Net Recognition of Spoken and Written Text," IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol.36,NO.7,July1988
M. Ghuwar, W. Skarbek, “Recognition of Arabic Characters - A Survey,” Polish Academy of Science, Manuscript no. 740, Warsaw 1994.
N. Ström and others, "Acoustic Modelling Improvements in a Segment-Based Speech Recognizer," Proc. of the 1999 IEEE Workshop on Automatic Speech Recognition and Understanding,Keystone, Colorado, USA.
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Saeed, K., Dardzińska, A. (2001). Cursive Letters Language Processing: Muqla Model and Toeplitz Matrices Approach. In: Larsen, H.L., Andreasen, T., Christiansen, H., Kacprzyk, J., Zadrożny, S. (eds) Flexible Query Answering Systems. Advances in Soft Computing, vol 7. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1834-5_30
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DOI: https://doi.org/10.1007/978-3-7908-1834-5_30
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