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

@article{Mehran2005AFO,
  title={A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents},
  author={Ramin Mehran and Hamed Pirsiavash and Farbod Razzazi},
  journal={Digital Image Computing: Techniques and Applications (DICTA'05)},
  year={2005},
  pages={56-56}
}
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. 

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