Abstract
This paper presents a segmentation approach for online Arabic handwriting. The approach achieves the segmentation based on the boundaries detection of the handwritten characters which included in the handwriting. The approach relies on an algorithm of characters' boundaries detection. The algorithm application is preceded by a feature extraction stage which in turn preceded by a preprocessing stage. The obtained results show a significant improvement toward the recognition of online Arabic handwriting.