In this face recognition research, the eyebrows, eyes, nostrils, lips, and face contour are extracted separately. The shape, size, object-to-object distances, centroid, and orientation are found for each object. The techniques to solve the object shifting and rotating problems are investigated. Image subtraction is used to examine the geometric differences of the two different faces. The obtained classifying data in this research can accurately classify different people's faces.
['Ching-Liang Su', 'Chidchanok Lursinsap']
Face recognition by feature orientation and feature geometry matching