This　paper　presents　a　novel　color　face　recognition　approach　based　on　2DPCA.　A　matrix-representation　model,　which　encodes　the　color　information　directly,　is　proposed　to　describe　the　color　face　image.　The　matrix-representation　model　defines　the　pixel　in　color　face　image　as　the　basic　unit,　the　color　information　of　the　pixel　as　the　basic　component,　and　then　represents　the　color　face　image　efficiently　in　the　format　of　matrix.　Based　on　the　representation　model,　color-Eigenfaces　are　computed　for　feature　extraction　using　2DPCA.　Nearest　neighborhood　classification　approach　is　adopted　to　identify　the　color　face　samples.　Experimental　results　on　CVL　and　CMU　PIE　color　face　database　show　the　good　performance　of　the　proposed　color　face　recognition　approach.　©　2008　IEEE.