Face and facial feature detection

Human face detection is concerned with finding location and size of every human face in a given image. Locating skin pixels in images or video sequences where people appear has many applications, especially those related to Human-Computer Interaction. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression recognition. There are many techniques used in face detection, each one has its advantages and disadvantages. An algorithm is proposed to improve the performance of face detection and eye detection using skin color model under poor illumination condition. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. After detecting the face region, the Hough transform is used in order to detect the facial feature i. e. eye, specially circular Hough transform is used in order to detect the circular object in the image.