Blockwise collaborative representation‐based classification via L 2 ‐norm of query data for accurate face recognition
J.H. Na, Hyung Jin Chang · Electronics Letters · 2016
A new blockwise collaborative representation‐based classification with L 2 ‐norm of test data for accurate face recognition is presented. For training we divide images into several blocks and estimate representation coefficients of each block via L 2 ‐norm minimisation. For testing, the L 2 ‐norm of test image blocks are scaled by the trained representation coefficients. A novel classification scheme based on the L 2 ‐norm of test blocks is proposed and this scheme is jointly applied with conventional reconstruction error‐based classification. Experimental results show that the proposed methods outperform other representation‐based methods for face recognition.