A Shape?-and Texture-Based Face Recognition

Face recognition technology （FRT） has numerous commercial and law enforcement applications, especially in video surveillance The primary task at hand, given still or video images, requires the identification of one or more persons using a database of stored face images A new face coding and recognition method is first introduced based on integrated shape and texture features And the dimensionalities of the shape and texture spaces are reduced using generalized KL transform The corresponding reduced shape and texture features are then processed by the uncorrelated discriminant transform Experiments on the database NUST603 of 960 face images indicates an error rate of 4% Experimental results also show that this method is not sensitive to the pose and expression of human faces