A Robust Free Size OCR for Omni-Font Persian/Arabic Printed Document Using Combined MLP/SVM

Optical character recognition of cursive scripts present a number of challenging problems in both segmentation and recognition processes and this attracts many researches in the field of machine learning. This paper presents a novel approach based on a combination of MLP and SVM to design a trainable OCR for Persian/Arabic cursive documents. The implementation results on a comprehensive database show a high degree of accuracy which meets the requirements of commercial use.

• Type: Conference
• Year: 2005
• Where: CIARP
• Authors: Hamed Pirsiavash, Ramin Mehran, Farbod Razzazi
• Keywords: CIARP 2005, Cursive Scripts, Optical Character Recognition, Persian/Arabic Cursive Documents