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A robust free size OCR for omni-font persian/arabic printed document using combined MLP/SVM

Pirsiavash, H ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1007/11578079_63
  3. Publisher: 2005
  4. Abstract:
  5. 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. © Springer-Verlag Berlin Heidelberg 2005
  6. Keywords:
  7. Computer programming ; Database systems ; Distributed computer systems ; Image segmentation ; Learning systems ; Problem solving ; Robustness (control systems) ; Arabic cursive documents ; Challenging problems ; Comprehensive databases ; Recognition processes ; Optical character recognition
  8. Source: 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, Havana, 15 November 2005 through 18 November 2005 ; Volume 3773 LNCS , 2005 , Pages 601-610 ; 03029743 (ISSN); 3540298509 (ISBN); 9783540298502 (ISBN)
  9. URL: https://link.springer.com/chapter/10.1007/11578079_63