Biomedical Engineering and Bioengineering Commons^™

Real-Time Face Detection And Recognition, Parker Hill, Brendan Morris

College of Engineering: Graduate Celebration Programs

The face has become a popular biometric for identification due to the wide range of features and difficulty in manipulation of the metric. In order to work towards a robust facial recognition system, this work contains a foundation for using the face as a recognition metric. First, faces are detected from still images using a Viola-Jones object detection algorithm. Then, Eigenfaces is applied to the detected faces. The system was tested on face databases as well as real-time feed from a web camera.