Volume 8 Issue 1 - January 2017

  • 1. Behavioral biometric authentication using leap motion sensor

    Authors : Saritha L.r., Diana Thomas, Neema Mohandas, Pooja Ramnath

    Pages : 643-649

    DOI : http://dx.doi.org/10.21172/1.81.084

    Keywords : authenticationLeap Motion SensorLeap password

    Abstract :

    In this project, we intend to provide a solution for authentication of files or applications in Laptops or PCs. The Leap Motion sensor will be used for uniquely identifying the genuine user and grant him access to the system. The different existing methods of authentication have their own pros and cons. The Leap sensor is a camera based sensor which will capture the hand geometry and gesture of the user and store it. The gesture decided by the user at first, known as the Leap password, will also vary from person to person thus ensuring that the stored details are unique for every person. This will help the authorized user to access his system without the fear of an intruder cracking his password or gaining access by using the same gesture. The sensor will check the details of the person accessing the system such as dimensions of the palm and finger. If they match with the one stored by the sensor, the user is granted access to the system. This system will thus ensure that the files are not tampered or accessed by any other person except for the owner of the PC or laptop.

    Citing this Journal Article :

    Saritha L.r., Diana Thomas, Neema Mohandas, Pooja Ramnath, "Behavioral biometric authentication using leap motion sensor", https://www.ijltet.org/journal_details.php?id=910&j_id=3644, Volume 8 Issue 1 - January 2017, 643-649, #ijltetorg