Off-Line System for the Recognition of Handwritten Arabic Character

摘要

Recognition of handwritten Arabic text awaits accurate recognition solutions. There are manydifficulties facing a good handwritten Arabic recognition system such as unlimited variation inhuman handwriting, similarities of distinct character shapes, and their position in the word. Thetypical Optical Character Recognition (OCR) systems are based mainly on three stages,preprocessing, features extraction and recognition.In this paper, we present an efficient approach for the recognition of off-line Arabic handwrittencharacters which is based on structural, Statistical and Morphological features from the mainbody of the character and also from the secondary components. Evaluation of the accuracy ofthe selected features is made. The system was trained and tested with CENPRMI dataset. Theproposed algorithm obtained promising results in terms of accuracy (success rate of 100% forsome letters at average 88%). In Comparable with other related works we find that our result isthe highest among others.