Face Detection and Recognition Using Skin Color Segmentation and PCA

Face detection and Face Recognition is one of the challenging problems in Computer Applications. The main part is to detect the face portion from the entire image .Problems includes sensitivity to the illumination conditions of input image . Here we propose method to detect human faces in color images based upon the edge and skin tone information of the input color image by setting appropriate thresholds. First, image enhancement is performed, especially if the image is acquired from an unconstrained illumination condition. Next, skin segmentation in srgb and lab space is conducted. The edges of the input image are combined with the skin tone image to separate all non-face regions. So, for face detection Skin color detection methods are used and for face recognition Eigen face method is used. Eigen face method is also known as PCA method. This process is stimulated in MATLAB environment and it is tested for various samples of face images and successfully giving desired results. Because of the increasing instances of identity theft and terrorism incidences in past years,. Face detection and recognition can identify uniqueness of one human face to other human face. To detect a face from an online surveillance system or an offline image, the main component that should be detected is the skin areas. Skin color has proven to be a useful and robust cue for face detection, localization and tracking. The face detection simply means to determine the given input is a face image or not regardless of the size, position and background etc. The current evolution of computer technologies has boosted in this era