Title :
A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents
Author :
Mehran, Ramin ; Pirsiavash, Hamed ; Razzazi, Farbod
Author_Institution :
K.N.Toosi University of Technology and Paya Soft Co.
Abstract :
Compared to non-cursive scripts, optical character recognition of cursive documents comprises extra challenges in layout analysis as well as recognition of the printed scripts. This paper presents a front-end OCR for Persian/Arabic cursive documents, which utilizes an adaptive layout analysis system in addition to a combined MLP-SVM recognition process. The implementation results on a comprehensive database show a high degree of accuracy which meets the requirements of commercial use.
Keywords :
Adaptive systems; Character recognition; Databases; Learning systems; Machine learning; Optical character recognition software; Shape; Solids; Speech recognition; Text analysis;
Conference_Titel :
Digital Image Computing: Techniques and Applications, 2005. DICTA '05. Proceedings 2005
Conference_Location :
Queensland, Australia
Print_ISBN :
0-7695-2467-2
DOI :
10.1109/DICTA.2005.3
