Farsi Nastaligh Word Recognition by Using Artificial Neural Networks

Majlesi Journal of Electrical Engineering

مقاله 1، دوره 2، شماره 4، دی 2008   

نوع مقاله: Review Article

شناسه دیجیتال (DOI): 10.1234/mjee.v2i4.132

نویسندگان

Nafiseh Salehian^* ؛ MohamadReza Yazdchi؛ AliReza Karimian

چکیده

This paper introduces a complete system for recognition of Farsi Nastaaligh handwritten words using Neural Networks. In preprocessing stage, after connected component specification, new algorithms are applied to find and eliminate ascenders, descenders, dots, and other secondary strokes from the original image. Then by using a segmentation algorithm based on analyzing upper and under contours, the word is segmented to a series of sub-words and their arrangement (Right to Left) is defined. Eight features, including three Fourier descriptors and five structural and discrete features, are applied to represent symbols in the feature space. Recognition is based on using a Feed Forward Back Propagation Network. ‏‏The probable mistakes in recognition of sub-words will be corrected  by using a search algorithm in dictionary of system. Experiments on a sample of 320 words show a suitable performance (%97 correct recognition) of the system.     

کلیدواژه‌ها

Segmentation؛ en؛ Neural network؛ word recognition

مراجع

[1] G.Nicchiotti, C.Scagliola; “A simple and

effective cursive word segmentation

method” hwr.nici.kun.nl/iwfhr-7-pp 499-503

2000

[2] R. Safabakhsh, P.Adibi; “Nastaaligh

handwritten word recognition using a

continuous-density variable-duration

HMM”, The Arabian Journal for Science and

Engineering, Vol 30, No 1 B. April 2005

[3] R.C.Gonzalez, R.E.Woods; “Digital Image

Processing”, Prentice-Hall,Inc,pp,644-

646,534-536,2004

[4] C.Olivier, H.Miled; “Segmentation and

Coding of Arabic Handwritten”, IEEE proc

of 13 th Int .Conf. on Pattern Recognition ,

Vol.3 , pp.264-268,1996

[5] C.Dunn, P.Wang; “Character Segmention

Techniques for Handwritten Text---A

survey”, Proc. 11th Int’l Conf. Pattern

Recognition, Vol. 2, p.577, Aug. 2001.

[6] S. Tsujimoto, H. Asada; “Major Components

of Complete Text reading System”, Proc.

IEEE, Vol. 80, No. 7, pp. 1133-1149, July

1992.

[7] M. Yamani, M. Noorzaily; “ Parking System

Using Chain Code & A-Star Algorithm”,

myais.fsktm.um.edu.my 2006

[8] A.L.Betker1, T.Szturm2; “ Application of

Feedforward Backpropagation Neural

Network”, IEE ,2003

[9] R. G. Casey, E. Lecolinet; “A Survey of

Methods and Strategies in Character

Segmentation” IEEE Trans. Pattern

Anal.Mach. Intell., 18 (7) (1996), pp. 690–

706.

[10] S.Fritsh, F.Guenther; “The neuralnet

package”, October 2008