• DocumentCode
    3045294
  • Title

    A survey on offline signature recognition and verification schemes

  • Author

    Deore, Madhuri R. ; Handore, Shubhangi M.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Trinity Coll. of Eng. & Res., Pune, India
  • fYear
    2015
  • fDate
    28-30 May 2015
  • Firstpage
    165
  • Lastpage
    169
  • Abstract
    Signature has been a distinguishing biometric feature. Today the human signature of a person is used as an identification of person because we are all know that the each person has distinct signature and every signature has its own physiology or behavioral characteristics. So the human signature used as a identification of person in various work like bank checks etc. The signature identification can be offline or online. We used the image processing technique for offline signature identification here no dynamic feature are available in offline identification. A brief survey on various off-line signature recognition & verification schemes is represented this paper.
  • Keywords
    handwriting recognition; behavioral characteristics; biometric feature; offline signature recognition scheme; offline signature verification scheme; person identification; physiology characteristics; Databases; Feature extraction; Forgery; Hidden Markov models; Image recognition; Neural networks; Approaches of signature recognition; HMM; Neural Network; Offline Signature Recognition; Preprocessing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Instrumentation and Control (ICIC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/IIC.2015.7150731
  • Filename
    7150731