Finding Critical Points of Handwritten Persian/Arabic Character
Majid Harouni, Dzulkifli Mohamad, Mohd Shafry Mohd Rahim, Sami M. Halawani · International Journal of Machine Learning and Computing · 2012
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.