• DocumentCode
    678115
  • Title

    A Faster Method for Chinese Font Recognition Based on Harris Corner

  • Author

    Shuye Zhang ; Lianwen Jin ; Dapeng Tao ; Zhao Yang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    4271
  • Lastpage
    4275
  • Abstract
    A new fast font recognition method based on Harris corners is proposed in this paper. According to our observation, we find out that the font discriminative information is mainly hidden in some interesting points of characters. Based on this discovery, we extract the texture feature of the interesting points. The Harris corners are extracted as the interesting points. Experimental results show that our method is 20 times faster than the traditional Gabor features based method while keeping an almost equal accuracy.
  • Keywords
    Gabor filters; character recognition; edge detection; feature extraction; image classification; image texture; support vector machines; Chinese characters; Chinese font recognition; Gabor features based method; Harris corner extraction; SVM classifier; font discriminative information; font recognition method; texture feature extraction; Accuracy; Character recognition; Feature extraction; Gabor filters; Kernel; Noise; Testing; Font recognition; Harris corner; character independent; local texture analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.728
  • Filename
    6722481