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In this paper we developed driver authentication system based on face recognition. Since 2D based face recognition has been shown its structural limitation, 3D model based approach for face recognition has been spotlighted as a robust solution under variant conditions of pose and illumination. Since a generative 3D face model consists of a large number of vertices, a 3D model based face recognition system is generally inefficient in computation time. In this paper, we propose a novel 3D face representation algorithm to reduce the number of vertices and optimize its computation time. Finally, we evaluate the performance of proposed algorithm with the Korean face database collected using a stereo-camera based 3D face capturing device. In addition, various decision making similarity measures were explored for final results. Our experimental results indicated that the algorithm is robust for driver authentication inside the vehicle and is also reasonably fast for real-time processing.

Biometric Driver Authentication Based on 3D Face Recognition for Telematics Applications