• DocumentCode
    2180361
  • Title

    A document analysis and recognition system

  • Author

    Chang, Fu ; Trai-Fu Chin ; Chou, Tzren-Ru ; Lee, Min-Ching ; Lu, Ya-Ching ; Shuai, Tsuey-Yuh ; Tan, Tzu-Ming ; Wu, Jian-Jon ; Young, Chu-Sing

  • Author_Institution
    Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
  • Volume
    2
  • fYear
    1997
  • fDate
    18-20 Aug 1997
  • Firstpage
    736
  • Abstract
    This article describes our research results in constructing a system that analyzes and recognizes printed Chinese documents. Emphasis is placed upon the interactions between different functional modules of our system that are necessary and important to the overall system performance. In particular, the interplay between image and document processing is seen as useful for removing spurious black spots in the background and white holes within character interiors. We also show that the interplay between feature analysis and character recognition enhances the generalization and discrimination power in recognizing characters. Our system holds above 98% recognition rate products. In some extreme cases, 25% better recognition rate has been seen. Our system is also able to treat many cases impossible for other systems
  • Keywords
    character recognition; document image processing; character recognition; discrimination; document analysis; document processing; feature analysis; functional modules; generalization; printed Chinese documents; system performance; Character recognition; Histograms; Image analysis; Image processing; Image recognition; Image segmentation; Information science; Natural languages; Pixel; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-8186-7898-4
  • Type

    conf

  • DOI
    10.1109/ICDAR.1997.620606
  • Filename
    620606