Arabic handwritten text line extraction using connected component analysis from a multi agent perspective

This paper presents an approach to extract curved text lines from Arabic handwritten documents, based on the perception mechanisms involved in the human reading process. Our approach is based on multi-agent systems to detect and group connected components that belong to the same line. This proposed system makes use of information about features and arrangement of those components. Experimental results on a data-set of Arabic handwritten documents show that this approach is a promising solution for extracting handwritten curved text lines.