Main Article Content
Abstract
Digital image face detection had been developing so much in this last decade. The searching for the best
method is still walking until today. This face detection research is using color model based segmentation method
combined with template matching. There are 4 main process in this research. First, motion detection is used to
minimize the size of the image by subtracting image n with image n+m. Then, by using YCbCr color model based
segmentation, the image is separated by skin color area and non-skin color area. Third, is to reduce the noise by
using the blurring way and by filtering its wide. The last one is matching the area that last with template that has
been prepared to detect which area is face. The result of the research, from 217 images and 10 videos , shows
that this method reach up to 70,5% face detection accuration procentage.
Keywords : Face Detection, Skin Color Segmentation, Noise Reducing, Template Matching.