• DocumentCode
    3730067
  • Title

    Performance evaluation of human identification based on ECG signal

  • Author

    Ainunjariah Binti Amiruddin;Othman O. Khalifa;Fadlallah Ali Fadlallah Rabih

  • Author_Institution
    Electrical and Computer Engineering, International Islamic University Malaysia, Malaysia
  • fYear
    2015
  • Firstpage
    479
  • Lastpage
    484
  • Abstract
    This Biometric identification technology has been growing over the last years with increasing demand to improve the technology and provide a better security for the society. In this paper, a biometric identification system using electrocardiogram (ECG) has been introduced and to compete with the existing biometric identification systems such as fingerprint, signature, voice and face. Various studies have been conducted by previous researchers in order to find the best procedures and techniques to provide an ECG identification system with the lowest percentage of error. A proposed scheme is presented in this work based on the previous studies. It is illustrate the uniqueness of ECG signal for each person thus it can be used to identify an individual.
  • Keywords
    "Electrocardiography","Feature extraction","Databases","Wavelet transforms","Data acquisition","Electrodes"
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCNEEE.2015.7381417
  • Filename
    7381417