Facial Feature Extraction in Colour Images Based on Local Binary Pattern

Face recognition is the most popular method in recent years. It has many applications in various fields such as to identify criminals, in airports etc. But identification under controlled environments are very accurate but uncontrolled environments such as different pose, illumination etc are not very accurate. In this method face identification is performed under uncontrolled environments by first image intensity is normalized then skin region is extracted and from the detected skin region different features are extracted for recognition purposes. Database used for recognition are FRGC and FERET.