Decision trees based on perceptual codes for on-line Arabic character recognition
Hanen Akouaydi, Slim Abdelhedi, Sourour Njah, Mourad Zaied, Adel M. Alimi · 2017
Arabic character recognition is one of the most challenging tasks and exciting areas of research. In this one, we will present a mobile application for handwriting recognition. Our Mobile application proposes an approach for Arabic handwriting recognition based on the fact that handwriting is defined as a sequence of elementary and perceptual codes. After applying PerTOHS theory which is a perceptual theory of on-line handwriting segmentation, each character is entirely transformed into a sequence of perceptual codes. By using decision trees and perceptual codes, we recognize Arabic characters and digits. Experimental results show that the high recognition rate depends on the way how the character is written.