Abstract Robust Face Detection Using Template Matching Algorithm

Human face detection and recognition techniques play an important role in applica-tions like face recognition, video surveillance, human computer interface and face image databases. Using color information in images is one of the various possible techniques used for face detection. The novel technique used in this project was the combination of various techniques such as skin color detection, template matching, gradient face de-tection to achieve high accuracy of face detection in frontal faces. The objective in this work was to determine the best rotation angle to achieve optimal detection. Also eye and mouse template matching have been put to test for feature detection. ii Acknowledgements I have been extremely fortunate to benefit from the supervision of Professor A.N. Venetsanopoulos and Professor P. Aarabi. I am very grateful to Professor Venetsanopou-los for his guidance during the course of my work. Professor Aarabi has not only been an outstanding teacher and advisor, but also a great role model. His work ethics and dedica-tion to ensuring the success of his students is certainly exceptional. My deepest gratitud