• DocumentCode
    2020932
  • Title

    A Fast Keyword-Spotting Technique

  • Author

    Li, Linlin ; Lu, Shijian ; Tan, Chew Lim

  • Author_Institution
    Nat. Univ. of Singapore, Singapore
  • Volume
    1
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    68
  • Lastpage
    72
  • Abstract
    In order to capture the content of an imaged document but avoid the time-consuming full-scale OCR which is fragile to handle touching characters, a fast and segmentation- free keyword spotting method is proposed in this paper. The keyword spotting method is based on word shape coding technique. The proposed coding scheme has little ambiguity, and can be swiftly executed. It is a promising technique to boost better document image retrieval. The strength of the proposed method is demonstrated in a document filtering experiment. The experimental results show that document filtering based on the proposed method is more than 20 times faster than the one based on OCR, and has comparable filtering accuracy.
  • Keywords
    document image processing; image retrieval; optical character recognition; document filtering; document image retrieval; full-scale OCR; imaged document; segmentation-free keyword spotting method; touching characters; word shape coding technique; Character recognition; Computer science; Filtering; Image coding; Image retrieval; Image segmentation; Information retrieval; Optical character recognition software; Shape; Software libraries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
  • Conference_Location
    Parana
  • ISSN
    1520-5363
  • Print_ISBN
    978-0-7695-2822-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.2007.4378677
  • Filename
    4378677