• DocumentCode
    536375
  • Title

    A method of content based fax retrieval

  • Author

    Feng, Xiao-Lei ; Yu, Hong-Tao ; Liu, Li-Xiong

  • Author_Institution
    Eng. & Technol. R&D Center, China Nat. Digital Switching Syst., Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    777
  • Lastpage
    781
  • Abstract
    According to the characteristics of fax paper, a method of content-based fax retrieval is put forward. The wavelet decomposition is used in the fax image de-noising, and the wavelet coefficients are used for regional division, and then combined with optical character recognition technology to extract the semantic features of the text region and the shape features of the logo for the fax retrieval. The accuracy of retrieval is improved notably. At the same time, the algorithm of features fusion for retrieval is given. Experiments show that the method has high precision and recall, which is more effective than retrieval methods based on manual annotated semantic.
  • Keywords
    content-based retrieval; facsimile; image denoising; optical character recognition; wavelet transforms; content based fax retrieval; fax image de-noising; features fusion; optical character recognition technology; shape features; text region; wavelet decomposition; Computers; Facsimile; Feature extraction; Image retrieval; Optical imaging; Semantics; Shape; fax retrieval; feature extraction; optical character ricogernition (OCR); wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658792
  • Filename
    5658792