Classification of transformed face images with majority voting

Trace transform is an alternative representation of original image, and various transforms can be obtained by implementing different Trace functionals. Taking the advantages of diversified functionals, ensemble Trace transforms based face recognition system is proposed in which majority voting plays the role of decision making. In addition, weighted majority voting and genetic algorithms are combined to achieve better generalization performance. Experiments on combo face database consisting of ORL, Yale, UMIST data sets reveal the power of proposed framework in pattern analysis.