• DocumentCode
    2096924
  • Title

    Parking access system based on face recognition

  • Author

    Taleb, Imene ; Mammar, Madani Ould

  • Author_Institution
    Laboratory signals and images (LSI), University of Sciences and Technology of Oran Mohamed Boudiaf (USTO-MB) Oran, Algeria
  • fYear
    2015
  • fDate
    28-30 April 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The human face plays an important role in our social interaction, conveying people´s identity. Using the human face as a key to security, biometric face recognition technology has received significant attention. Face recognition technology, is very popular and it is used more widely because it does not require any kind of physical contact between the users and the device. Camera scans the user face and match it to a database for verification. Furthermore, it is easy to install and does not require any expensive hardware. Facial recognition technology is used widely in a variety of security systems such as physical access control or computer user accounts. In this paper, we present an access control vehicle system to the park based on camera installed at theparking entry. First, we use the nonadaptive method to detect the moving object, and we propose an algorithm to detect and recognize the face of the driver who wants to enter to the parking and verify if he is allowed. We use Viola-Jones method for face detection and we propose a new technique based on PCA, and LDA algorithm for face recognition.
  • Keywords
    Access control; Databases; Face; Face detection; Face recognition; Principal component analysis; Vehicles; Face detection; Linear Discriminant Analysis (LDA); Moving object; Principal Component Analysis (PCA); access control; face recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Programming and Systems (ISPS), 2015 12th International Symposium on
  • Conference_Location
    Algiers, Algeria
  • Type

    conf

  • DOI
    10.1109/ISPS.2015.7244982
  • Filename
    7244982