The Touchless Person Authentication Using Gesture-Types Emulation of Handwritten Signature Templates

The paper proposes a secure real-time user authentication system based on dynamic handwritten signature verification. We discuss the touch-less sensor-based authentication mechanism that relies on remote tracking palm-gestures imitating the handwritten signature pattern of examined person. The appropriate data is gathered from non-invasive sensor device in the form of time-ordered series related to spatial coordinates of the pen-like tool position and velocity. The proposed matching scheme exploits data series analysis in joint with feature-based classification. The discrete cosine transform is used to deal with instability of the genuine patterns. We also consider of using the local sensitivity hashing functions to obtain the better efficiency. The detailed analysis of the experimental results is included, too.