On Segmentation Methods for Handwritten Arabic Documents

In the literature, two methods for the extraction zones of the document are more used. The first method is based on the Mathematical Morphology (MM). The second is based on Hough Transform (HT). The main contribution of this paper is the application of these methods to extract the handwritten components of the complex document. The second contribution is the combination between the HT and the MM. The third contribution is the use of these three developed methods to automatically extract the handwritten components from CENPARMI bank check: numerical amount, literal amount and date zone. We present a concept for automatic evaluation of the results, based on a label tools for the different part of the used documents. We achieve a correct extraction rate of 98.27% for numerical amount, 91.82% for literal amount, and 99.63% for date, extracted by hybrid method HT-MM.