Movement based user authentication

OData support
Supervisor:
Dr. Holczer Tamás
Department of Networked Systems and Services

For authentication purposes, the most common current procedures based on a secret password or certificate are getting less practical than the ones using biometric technologies.

Such methods have been used for years now in cases where security is of high importance, mainly in access control and registration systems (e.g. to confirm passenger identity at the airport or border security checkpoints, to control personal access to restricted facilities, to maintain criminal databases, etc.).

The research and development on the field of biometrics continues to advance, and today there are many practical everyday applications accessible for common users around the world. These include the simple fingerprint scanners attachable to, or built into notebooks and keyboards, or the voice recognition capabilities of smartphones, though more complex approaches like face recognition or retina scanning are not yet so widespread.

In my thesis I’m going to present an overview of the most frequently used types of biometric applications, their benefits and downsides. Furthermore I’m showing one of the many ways to use a particular biometric method based on hand gestures for authentication, which I’ve been working on to integrate into the login process of computer operating systems.

Downloads

Please sign in to download the files of this thesis.