• DocumentCode
    3402673
  • Title

    Signature verification: A study

  • Author

    Mushtaq, Saba ; Mir, Ajaz Hussain

  • Author_Institution
    Dept. Of E&C Eng., Nat. Inst. Of Technol., Srinagar, India
  • fYear
    2013
  • fDate
    20-22 Sept. 2013
  • Firstpage
    258
  • Lastpage
    263
  • Abstract
    Signatures are widely used as a means of personal identification and verification. Many documents like bank cheques and legal transactions require signature verification. Signature-based verification of a large number of documents is a very difficult and time consuming task. Consequently an explosive growth has been observed in biometric personal verification and authentication systems that are connected with quantifiable physical unique characteristics (finger prints, hand geometry, face, ear, iris scan, or DNA) or behavioral features (gait, voice etc.). As traditional identity verification methods such as tokens, passwords, pins etc suffer from some fatal flaws and are incapable to satisfy the security necessities, the paper aims to consider a more reliable biometric feature, signature verification for the considering. We present a survey of signature verification systems. We classify and give an account of the various approaches that have been proposed for signature verification.
  • Keywords
    authorisation; handwriting recognition; behavioral features; biometric feature; biometric personal authentication systems; biometric personal verification systems; personal identification; quantifiable physical unique characteristics; signature verification system; signature-based verification; Accuracy; Feature extraction; Forgery; Hidden Markov models; Neural networks; Accuracy; FAR; FRR; Signature verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Technology (ICCCT), 2013 4th International Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4799-1569-9
  • Type

    conf

  • DOI
    10.1109/ICCCT.2013.6749637
  • Filename
    6749637