期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：3
页码：3948-3951
出版社：TechScience Publications
摘要：Face is our primary focus of attention for conveying identity. Human face detection by computer systems has become a major field of interest. Detection of faces in a digital image has gained much importance in the last decade, with application in many fields. Automating the process to a computer requires the use of various image processing techniques. This paper presents a new face detection method which combines the morphological operations and the Template Matching Method. First we convert the input image into binary image with adjustments in the dynamic threshold value. After that background minimization through the morphological operations is done and then connected component analysis is performed on the resultant image. Then correlation of the connected components and threshold value of template is done which finally identifies the face region in the image. The template threshold is obtained by converting the RGB images in the database into YCbCr model and finding covariance between the mean values of Cb and Cr.
