doi: 10.7763/IJMLC.2012.V2.192
Finding Critical Points of Handwritten Persian/Arabic Character
Majid Harouni1
,
Dzulkifli Mohamad1 ,
Mohd Shafry Mohd Rahim1 ,
Sami M. Halawani2
- 1UTMViCube 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.
- 2Faculty of Computing and Information Technology, King Abdul Aziz University, Saudi Arabia.
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.
Keywords
- Persian and Arabic script
- critical points
- on-line character recognition
- pre-processing
How to 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, vol. 2, no. 5, pp. 573-577, 2012. https://doi.org/10.7763/IJMLC.2012.V2.192
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).