Face detection using PCA and skin-tone extraction for drowsy driver application

Face detection plays a huge role in many applications such as security, surveillance and human-computer interface. This paper presents a new face detection for the purpose of drowsy driver assistant system. The algorithm is based on a combination two different principles of detection, namely detection of skin color and modified PCA analysis. The algorithm has shown improved performance compared to using either of the principles alone and is performing well under different lighting conditions.