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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/17164

Title: Robust Face Detection Using Template Matching Algorithm
Authors: Faizi, Amir
Advisor: Venetsanopoulos, Anastasios N.
Aarabi, Parham
Department: Electrical and Computer Engineering
Keywords: Face detection
Face recognition
Template matching
Issue Date: 24-Feb-2009
Abstract: 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.
URI: http://hdl.handle.net/1807/17164
Appears in Collections:Master
The Edward S. Rogers Sr. Department of Electrical & Computer Engineering - Master theses

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