Performance and Analysis of Face Recognition Using Skin Color Segmentation Algorithm

Abstract

Face Recognition System has been an important and active research field because it offers many applications, especially in video surveillance, biometrics, or video coding. The goal of this project is to detect a human's face. The face detection algorithm involved color-based skin segmentation and image filtering. The face location is determined by calculating the centroid of the detected region. However, it is difficult to develop a complete robust face detector due to various light conditions, face sizes, face orientations, background and skin colors. This detects skin regions over the entire image, and then generates face candidates based on a connected component analysis then the face candidates are divided into human face and non-face images.