Extraction of Facial Images from the Complex Background Using Color Information and SGLD Matrices

It is the key step for face recognition systems to extract the facial parts from the complex backgrounds. In this paper, we propose a new method for the face extraction in the color complex backgrounds. By transforming color images from RGB color represention to YIQ color one, the orange-like parts including the face areas are enhanced in the original images, if the I-componet of YIQ color system is only used. The facial texture model based on the space gray level dependence (SGLD) matrices is applied to these images. Using this model, facial parts are detected as those regions which satisfy a set of inequalities. The weight coefficients in the inequalities are decided by the conventional method of learning. Using this textural model, we design a kind of scanning scheme for face detection in the complex backgrounds. The experiments show that this method could locate the face position in the complex backgrounds effectively.