Face recognition based on human cognition
Yu Hong · Jisuanji gongcheng yu sheji · 2011
A new face recognition algorithm based on the cognitive theory is proposed,recognizing faces by two independent parts: configural information and featural information.This algorithm simulates the process of human cognition.LDA is performed on face image matrix to form configural information,which is used to select the nearest neighborhood classes.And then,2DPCA is used to extract featural information from the selected faces.Furthermore,according to the featural information,an accurate decision based on fuzzy set is made.Finally,ORL and Yale database is used to test,and the experimental results show the algorithm is valid and insensitive in complex conditions.