  A novel and uniform framework for face verification is presented in this
paper. First of all, a 2-directional 2-dimensional feature extraction method is
adopted to extract client-specific template - 2D discrimant projection matrix.
Then the face skin color information is utilized as an additive feature to
enhance decision making strategy that makes use of not only 2D grey feature but
also 2D skin color feature. A fusion decision of both is applied to experiment
the performance on the XM2VTS database according to Lausanne protocol.
Experimental results show that the framework achieves high verification
accuracy and verification speed.
