%0 Journal Article
%T Offline Arabic Text Recognition ¨C An Overview
%A Atallah Mahmoud AL-Shatnawi
%A Safwan AL-Salaimeh
%A Farah Hanna AL-Zawaideh
%A Khairuddin Omar
%J World of Computer Science and Information Technology Journal
%D 2011
%I 
%X This paper provides and discusses an overview about the offline Arabic Optical Character Recognition (AOCR) system. It also provides and discuses the challenges that must be considered in designing or choosing a cretin method for the AOCR system. Recognition of Arabic characters is more difficult than Latin or Chinese language .The typical AOCR system consists of five components: image acquisition, preprocessing, segmentation, feature extraction and classification (recognition). Each of those contributes to the final recognition rate to improve of the AOCR. In this paper, the challenges in recognition the Arabic written text are explained and discussed. As well as, the operations of offline AOCR system stages are discussed and studied in detail. The operations of AOCR preprocessing stage are also provided and discussed. The AOCR stages drawbacks and advantages are discussed in details.
%K Arabic Text
%K Character recognition
%K Pre-processing
%K Segmentation
%K Feature Extraction
%K Classification.
%U http://www.wcsit.org/pub/2011/june/Offline Arabic Text Recognition An Overview.pdf