• DocumentCode
    304703
  • Title

    Off-line Chinese signature verification

  • Author

    Lin, Jun ; Li, Jie-gu

  • Author_Institution
    Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    205
  • Abstract
    In this paper, a set of shape features which was based on the special characteristics of Chinese signatures was proposed for off-line Chinese signature verification. Another set of high-pressure features was also developed to extract timing and dynamic information indirectly from the signature image. A database of 100 genuine signatures and 50 simple forgeries was used to investigate the effectiveness of these two sets. Though shape features and high-pressure features had an error rate of 6.5% and 20.0% respectively, the collective use of these two sets reduced the error rate of simple forgery verification to 2.5%. It was concluded that combined use of static and dynamic information is an effective way for off-line Chinese signature verification
  • Keywords
    error statistics; feature extraction; handwriting recognition; image classification; dynamic information; error rate; forgery verification; high-pressure feature; off-line Chinese signature verification; shape features; timing information; Error analysis; Forgery; Gravity; Handwriting recognition; Image databases; Image processing; Pattern recognition; Shape; Spatial databases; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560725
  • Filename
    560725