In　order　to　further　improve　the　effectiveness　and　enhance　practicability　of　face　recognition　under　guaranteeing　the　recognition　accuracy,　this　paper　proposes　a　new　method　of　face　recognition　based　on　the　energy　image　of　facial　contour.　First,　image　binaryzation　and　edge　detection　method　are　used　to　extract　the　facial　contour,　then　the　energy　image　of　facial　contour　of　training　samples　are　obtained;　second,　matrix　logic　＂and＂　operation　is　adopted　to　calculate　the　similarity　between　a　test　sample　and　the　energy　image　of　facial　contour　of　each　class;　finally,　the　test　sample　is　classified　according　to　the　similarity　criteria.　The　method　is　based　on　a　kind　of　similarity　match,　so　it　can　make　good　use　of　two-dimensional　structure　information　of　face　images;　moreover,　it　adopts　matrix　logic　＂and＂　operation　in　classification　instead　of　solving　the　eigenvalue　problem　and　calculating　the　Euclidean　distance　of　traditional　classification　algorithm,　which　can　reduces　the　computational　complexity　dramatically.　Finally,　the　contrast　experiment　with　principal　component　analysis　and　sparsity　preserving　projections　shows　that　the　proposed　method　is　more　effective　and　stable　on　the　Yale　face　database.