Face Detection and Recognition Through Hexagonal Image Processing

Abstract

Hexagonal image processing benefits from less computational power and better performance ratios. A lot of research is encompassing this area nowadays. This paper presents the effect of hexagonal image processing in face recognition area where the proposed hexagonal techniques are applied to the domains of face detection, edge detection and face recognition. The face detection, converts face image to hexagonal image and then the face detection algorithm is applied on the basis of face color. The edge detection technique is applied to the resultant detected hexagonal face image. For face recognition, the technique proposed is based on PCA. To overcome the limitations of conventional PCA based face recognition, the face features extraction with hexagonal edge detection is used. Experimental results are presented in later sections, which prove that the hexagonal image processing is far better than the conventional existing techniques based on square image processing.