a hybrid method for three segmentation level of handwritten arabic script
The main theme of this paper is the segmentation of handwritten Arabic script into blocks, connected components and characters using a combination between Hough Transform and Mathematical Morphology tools. We start by a segmentation methodology of a complex document into its distinct entities namely handwritten components. Every extracted handwritten blocks are then segmented into sub-words as a main specificity of Arabic script. Finally a character segmentation method is presented. For each segmentation step, some concepts are needed such as dynamic kernel and Harris corner detectors. The proposed method is tested on the CENPARMI Arabic check database. We present a concept for automatic evaluation of the results, based on label tools for the different parts of used documents.
hough transform mathematical morphology character segmentation handwritten processing harris detector