Recognition Persian Handwritten Characters using Hough Transform
 |
International Journal of Engineering Trends and Technology (IJETT) | 
|
| © 2014 by IJETT Journal | ||
| Volume-16 Number-2 |
||
| Year of Publication : 2014 | ||
| Authors : Neda Aashrafi Khuzani , Maryam Mahmoodi |
||
 10.14445/22315381/IJETT-V16P214 |
Citation
Neda Aashrafi Khuzani , Maryam Mahmoodi. "Recognition Persian Handwritten Characters using Hough Transform", International Journal of Engineering Trends and Technology (IJETT), V16(2),65-68 Oct 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Today, expansion of computers influences in the business world has forced organizations to think about using computers to process and manage large amounts of information. Artificial intelligence provides approaches and algorithms for image processing. Using this algorithm, the computer can have the ability to identify the various components of an image. The present study presents a method for detecting Persian handwritten characters using Hough transform. One of the main characteristics of the Hough transform is to detect the lines, circles and other shapes that have analytic relationships. Using this method along with documents image processing, data fields written in paper documents can be separately extracted and then use them for storage, processing, management and reporting. For instance, it considers discrete Persian handwritten characters as objects in a scene, and then attempts to diagnoses them using the Hough transform as well as neural network. According to the performed tests and obtained results, the accuracy of 70% was yielded in detection of characters.
References
[1] A.Amin, “Off-line arabic character recognition: the state of the art”, Pattern Recognition, Volume. 31, No .5, p. 517-530, 1998
[2] D.H.Ballard., ”Generalizing the Hough Transform to detect arabitrary shapes” , Pattern Recognition, Volume. 13, No .2, pp. 111-122, 1981.
[3] S.R.Deans., ”Hough Transform from the Radon Transform’, PAMI(3), No. 2, pp. 185-188, March 1981.
[4] M.Fakir., C.Sodeyama, “ On the recognition of arabic scripts using features selected in the Hough transform space” , Advanced session of the IIEEJ on Doc. Proc. And Digital Imaging, pp. 231-234, 1992.
[5] ] R.C.Gonzalez., R.E.Woods., S.L.Eddins, ” Digital Image Processing by Using Matlab”, 2004.
[6] R.C.Gonzalez., R.E.Woods., S.L.Eddins, ” Digital Image Processing ”, 2005.
[7] J.Illingworth., J.V.Kittler., “ A Survey of the Hough Transform” , CVGIP(44), No. 1, pp. 87-116, October 1988.
[8] D.klerfors., “ Artificial Neural Networks” , school of Business & Administration , Saint Louia Univercity, 1998
[9] S.touj., N.essoukri ben amara., H.amiri., “ generalized hough transform for arabic obtical character recognition” , Proceedings of the seventh international conference on documet analysis and recognition , (ICDAR 2003) 0-7695-1960-1/03$17.00© 2003 IEEE.
Keywords
image processing, neural network, edge detection, skeletonizing, Hough transform.