An Arabic baseline estimation method based on feature points extraction

Baseline estimation is an important pre-processing step for many methods in optical character recognition system such as character segmentation, detection and correction of skew and feature extraction methods. In this paper, a new baseline estimation method for Arabic handwritten text is proposed based on analysis and extraction the feature points from the subword of the thinned text. A comprehensive set of experimental results using IFN/ENIT database which is specifically for Arabic optical character recognition handwritten demonstrate the efficiency of the proposed method in overcome the failure and weaknesses in the existing methods.