• DocumentCode
    2325455
  • Title

    Security system using biometric technology: Design and implementation of Voice Recognition System (VRS)

  • Author

    Rashid, Rozeha A. ; Mahalin, N.H. ; Sarijari, Mohd Adib ; Abdul Aziz, Ahmad

  • Author_Institution
    Dept. of Telecommun. & Opt., Univ. Teknol. Malaysia, Skudai
  • fYear
    2008
  • fDate
    13-15 May 2008
  • Firstpage
    898
  • Lastpage
    902
  • Abstract
    Biometric technology is fast gaining popularity as means of security measures to reduce cases of fraud and theft due to its use of physical characteristics and traits for the identification of individuals. The earliest methods of biometric identification included fingerprint and handwriting while more recent ones include iris/eye scan, face scan, voice print, and hand print. Biometric voice recognition and identification technology focuses on training the system to recognize an individualpsilas unique voice characteristics (i.e., their voice print). The technology lends itself well to a variety of uses and applications, including security access control for cell phones (to eliminate cell phone fraud), ATM manufacturers (to eliminate pin # fraud) and automobile manufacturers (to dramatically reduce theft and carjacking). In this paper, we present an implementation of a security system based on voice identification as the access control key. Verification algorithm is developed using MATLAB (SIMULINK) function blocks which is capable of authenticating a personpsilas identity by his or her voice pattern. A voice match will produce logic dasia1psila while a mismatch, logic dasia0psila. A microcontroller circuit controlling access to a door is built to test the reliability of this voice controlled security system. It is found out that the developed voice recognition software has successfully activated the door opening mechanism using a voice command that ONLY works for the authenticated individual. The system is proven to be able to provide medium-security access control and also has an adjustable security level setting to account for the variations in onepsilas voice each time a voice identification occurs.
  • Keywords
    authorisation; biometrics (access control); speech recognition; biometric identification; security access control system; voice recognition system; Access control; Automobile manufacture; Biometrics; Cellular phones; Character recognition; Control systems; Logic; Security; Spectrogram; Speech recognition; Biometric technology; and identification process; voice recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1691-2
  • Electronic_ISBN
    978-1-4244-1692-9
  • Type

    conf

  • DOI
    10.1109/ICCCE.2008.4580735
  • Filename
    4580735