• DocumentCode
    1632203
  • Title

    An Open Source Tesseract Based Optical Character Recognizer for Bangla Script

  • Author

    Hasnat, Md Abul ; Chowdhury, Muttakinur Rahman ; Khan, Mumit

  • Author_Institution
    Dept. of Comput. Sci. & Eng., BRAC Univ., Dhaka, Bangladesh
  • fYear
    2009
  • Firstpage
    671
  • Lastpage
    675
  • Abstract
    BanglaOCR is currently the only open source optical character recognition (OCR) software for the Bangla (Bengali) script developed by the Center for Research on Bangla Language Processing (CRBLP). Tesseract, maintained by Google, is considered to be one of the most accurate free open source OCR engines currently available. In this paper, we present a new OCR for the Bangla/Bengali script that combines the recognition power of Tesseract and the Bangla script processing power of BanglaOCR by integrating the Tesseract recognition engine into BanglaOCR. We first present the complete methodology to build the combined OCR, followed by the implementation strategy. In this paper, we focus on the training data preparation process, Tesseract integration procedure and the post-processing techniques. The techniques described in this paper can be readily applied to build OCRs for other scripts as well.
  • Keywords
    natural language processing; optical character recognition; public domain software; search engines; Bangla script; Center for Research on Bangla Language Processing; Google; Tesseract recognition engine; open source optical character recognition; training data preparation process; Character recognition; Discrete cosine transforms; Graphical user interfaces; Open source software; Optical character recognition software; Optical sensors; Packaging; Search engines; Testing; Training data; BanglaOCR; Tesseract;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.62
  • Filename
    5277476