%0 Journal Article %A Mohsen Zand and Ahmadreza Naghsh Nilchi and S. Amirhassan Monadjemi %D 2008 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 14, 2008 %T Recognition-based Segmentation in Persian Character Recognition %U https://publications.waset.org/pdf/9003 %V 14 %X Optical character recognition of cursive scripts presents a number of challenging problems in both segmentation and recognition processes in different languages, including Persian. In order to overcome these problems, we use a newly developed Persian word segmentation method and a recognition-based segmentation technique to overcome its segmentation problems. This method is robust as well as flexible. It also increases the system-s tolerances to font variations. The implementation results of this method on a comprehensive database show a high degree of accuracy which meets the requirements for commercial use. Extended with a suitable pre and post-processing, the method offers a simple and fast framework to develop a full OCR system. %P 311 - 315