Details

Autor(en) / Beteiligte

• Mehran, R.
• Pirsiavash, H.
• Razzazi, F.

Titel

A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents

Ist Teil von

• Digital Image Computing: Techniques and Applications (DICTA'05), 2005, p.56-56

Ort / Verlag

IEEE

Erscheinungsjahr

2005

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• 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.