• DocumentCode
    2036757
  • Title

    A hybrid approach using majority voting for signature recognition

  • Author

    Roja, M. Mani ; Sawarkar, Sudhir

  • Author_Institution
    TSEC, Amravati Univ., Mumbai, India
  • Volume
    2
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    354
  • Lastpage
    358
  • Abstract
    Biometric systems based only on unimodal biometrics are often not able to meet the desired performance requirements due to problems such as noisy data, restricted degree of freedom, spoof attacks and unacceptable error data. Some of these drawbacks can be minimized by multimodal biometric systems. Multimodal biometrics consists in combining two or more biometric modalities in a single identification system to improve the recognition accuracy. This paper proposes a multi algorithm based signature recognition system.
  • Keywords
    handwriting recognition; majority voting; multimodal biometric systems; noisy data; restricted degree of freedom; signature recognition; spoof attacks; unacceptable error data; Authentication; Discrete wavelet transforms; Feature extraction; Filter banks; Forgery; Discrete Sine transform; Discrete Wavelet Transform and Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Computer Technology (ICECT), 2011 3rd International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4244-8678-6
  • Electronic_ISBN
    978-1-4244-8679-3
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2011.5941717
  • Filename
    5941717