Intelligent Feature Extract System for Cursive-Script Recognition

Summary. The paper describes a newly presented hybrid method for high effi-ciency in script image feature extraction. The recognition rate was about 82 % for very large number of scripts per class. However, it has reached even 100 % in some cases with a smaller number of scripts per class. The system contains two projection-based methods for image characteristics extraction presented by very simple feature vectors and one image descriptor. A specially worked out thinning algorithm for the recognition system has simplified the feature extracting procedure as it pro-vides a continuous one-pixel width skeleton of the script, which is essential for the simple-projection approach.