• DocumentCode
    3561915
  • Title

    A study on bill handwriting extraction and enhancement

  • Author

    Wan, Qian ; Zhang, Yuan-Biao

  • Author_Institution
    Dept. of Comput. Sci. & Technol. & Math. Modeling Innovative Practice Base, Jinan Univ., Zhuhai, China
  • Volume
    1
  • fYear
    2010
  • Firstpage
    175
  • Lastpage
    177
  • Abstract
    In this paper, we study on how to qualify the bill handwriting extraction for the sake of enhancement. By calculating in HSV color space, with the price of time consuming, the adjusted thresholding-based method is used to suppress the noise which appears in the extraction of traditional one. During further research, we overcome the incompleteness of traditional color detection-based extraction and then propose an improved method which satisfies the time saving and accurate extraction. Our experimental results show that the achievement of this study is significantly valuable.
  • Keywords
    feature extraction; handwriting recognition; image colour analysis; image denoising; image enhancement; object detection; HSV color space; color detection-based extraction; handwriting extraction; noise suppression; thresholding-based method; Color; Computer languages; Handwriting recognition; Mathematical model; Noise measurement; Pixel; HSV color space; color detection; handwriting extraction; thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management Science (ICAMS), 2010 IEEE International Conference on
  • Print_ISBN
    978-1-4244-6931-4
  • Type

    conf

  • DOI
    10.1109/ICAMS.2010.5553054
  • Filename
    5553054