Face detection based on skin color segmentation and eyes detection in the human face
Mazin Riyadh Al-Hameed, Shawkat Kamal Guirguis · AIP conference proceedings · 2022
This paper explores the identification of human face and eye in still frontal color pictures. First; the appropriate pre-processing stage is done. It requires image refresh, RGB to grayscale conversion, image binarization, noise reduction and removal of small artifacts. The proposed algorithm is then extended to the position the face by detecting the edges the face using the detection of pixel color variations in the binary image. Finally, a normalized cross-relation is applied to determine the precise location of the eyes within the localized region of the face. proposed algorithm is robust enough to achieve approximately 94% accuracy and can locate a face in single face images.