<P>PROBLEM TO BE SOLVED: To provide methods for automatic face recognition that use appearance-based techniques. <P>SOLUTION: A face pattern and two eye patterns are detected. The face pattern is normalized. The normalized face pattern is transformed into a normalized face feature vector of Gabor feature representations. A difference image vector is calculated. The difference image vector is projected to a lower-dimensional intra-subject subspace extracted from a pre-collected training face database. A square function is applied to each component of the projection. A weighted summation of the squared projection is calculated. The face pattern in the probe digital image is classified as belonging to the gallery image with the highest calculated weighted summation where the highest calculated weighted summation is above a predefined threshold. <P>COPYRIGHT: (C)2010,JPO&INPIT 
FACE RECOGNITION METHOD, COMPUTER READABLE MEDIUM, AND IMAGE PROCESSOR