• DocumentCode
    2765518
  • Title

    Comparative analysis of off-line signature recognition

  • Author

    Dubey, Richa ; Agrawal, Deepak

  • Author_Institution
    Electron. & Commun. Deptt, MANIT, Bhopal, India
  • fYear
    2012
  • fDate
    19-20 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Biometrics (or biometric authentication) assigns to the confirmation of humans by their biological features. Computer science, biometrics to be specific, is used as an aspect of determination and access control. It is also used to determine individuals in groups that are under examination. Handwriting is one of the most widely used biometric systems for authentication of person as well as document. Online and offline signature is existing in person identification and authentication problems. Offline signature categorizes the signature into two classes: genuine and forged. In this paper, we discuss various features of offline signature recognition and verification process. We review and compare existing techniques, their results and methods of feature extraction.
  • Keywords
    feature extraction; handwriting recognition; access control; biometric systems; computer science; feature extraction; offline signature recognition; online signature; Biometrics (access control); Feature extraction; Forgery; Hidden Markov models; Transforms; Offline signature; biometric; feature extraction; security; verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4577-2077-2
  • Type

    conf

  • DOI
    10.1109/ICCICT.2012.6398093
  • Filename
    6398093