• DocumentCode
    2067251
  • Title

    Character Retrieval Based on the Improved Contour Feature and Texture Feature

  • Author

    Zhang, Jie ; Huang, Xiang Lin ; Lv, Hui

  • Author_Institution
    Comput. Sch., Commun. Univ. of China, Beijing, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In order to retrieve the character images but avoid the OCR system which is limited in some application, a method for Chinese characters retrieval is presented in this paper. It firstly extracts the improved contour feature of Chinese character images, which is used to match roughly. Then, the candidate character images attained above are divided by the centroid of each one. For each part divided, the texture feature of the Fourier spectrum is extracted for scrutinized detection to obtain the final results. The experiment results imply that the method proposed is efficient in retrieving different grays, different fonts and sizes of Chinese character images.
  • Keywords
    Fourier analysis; character recognition; document image processing; edge detection; feature extraction; image matching; image retrieval; image texture; natural languages; Chinese character image retrieval; Fourier spectrum; OCR system; contour feature extraction; document image processing; image matching; scrutinized detection; texture feature extraction; Application software; Computer vision; Data mining; Feature extraction; Image retrieval; Image segmentation; Information technology; Optical character recognition software; Optical filters; Optical sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5300831
  • Filename
    5300831