• Jul 03, 2017 News!Good News! Since 2017, IJMLC has been indexed by Scopus!
  • Aug 15, 2017 News![CFP] 2017 the annual meeting of IJMLC Editorial Board, ACMLC 2017, will be held in Singapore, December 8-10, 2017.   [Click]
  • Sep 09, 2017 News!Vol.7, No.4 has been published with online version.   [Click]
Search
General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(5): 573-577 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.192

Finding Critical Points of Handwritten Persian/Arabic Character

Majid Harouni, Dzulkifli Mohamad, Mohd Shafry Mohd Rahim, and Sami M. Halawani
Abstract—On-line handwritten character recognition system is a special line of research in image processing and pattern recognition field, it can also considered a special process of in academic researches and production fields in the past decade. The general steps in a recognition system are pre-processing, segmentation, feature extraction and classifications. The techniques of pre-processing stage play an excessive role in the system and directly affect the system performance. The focus of this article is on doing pre-processing stage and providing a most desirable data set form the raw data using in feature extraction and then to increase the rate of recognition system. For this reason, the novel algorithm is presented for finding a critical points set of hand-drawn letters. These critical points help extracting the correct structural and statistical features of on-line character handwriting in any given style writing.

Index Terms—Persian and Arabic script, critical points, on-line character recognition, pre-processing.

Majid Harouni is with UTMViCube Lab, Faculty of Computer Science and Information Systems, Universiti Technologi Malaysia, Johor, Malaysia and with the Department of Computer Science, Islamic Azad University, Dolatabad branch, Isfahan, Iran (e-mail: majid.harouni@ gmail.com).
Dzulkifli Mohamad and Mohd Shafry Mohd Rahim are with the UTMViCube Lab, Faculty of Computer Science and Information Systems, Universiti Technologi Malaysia, Johor, Malaysia (e-mail: dzulkifli@utm.my, and shafry@utm.my).
Sami M. Halawani is with the Faculty of Computing and Information Technology, King Abdul Aziz University, Saudi Arabia (e-mail: halawani@kau.edu.sa).

[PDF]

Cite:Majid Harouni, Dzulkifli Mohamad, Mohd Shafry Mohd Rahim, and Sami M. Halawani, "Finding Critical Points of Handwritten Persian/Arabic Character," International Journal of Machine Learning and Computing vol.2, no. 5, pp. 573-577, 2012.

Copyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net