Recognition of Segmented Online Arabic Handwritten Characters of the ADAB Database

Abstract

The aim of this work is to fill a void in the literature of Arabic handwriting recognition by studying the performance of different feature extraction methods on online segmented Arabic characters. The contribution of this paper is to introduce a large database of segmented online handwritten Arabic characters and report the performance of various feature extraction techniques on the segmented characters to serve as a benchmark for any future work on the problem of online Arabic characters recognition.