A　novel　recognition　approach　coined　two-dimension　linear　discriminant　analysis　based　color　face　recognition　is　proposed　in　this　paper　to　improve　the　accuracy　of　face　recognition.　A　matrix-representation　model　which　encodes　the　color　information　directly　is　employed　to　represent　the　color　face　image.　Based　on　the　representation　model,　two-dimension　linear　discriminant　analysis　algorithm　is　exploited　to　extract　facial　features　for　recognition　task.　The　nearest　neighborhood　classifier　is　adopted　to　identify　the　color　face　samples　based　on　the　facial　feature　matrix.　Experimental　results　from　CVL　and　CMU　PIE　color　face　databases　verify　the　effectiveness　of　the　proposed　approach.