In　this　paper,　we　presented　a　algorithm　that　implements　the　automatic　detection　of　faces　and　facial　features　in　color　images.　Firsts　we　use　the　chroma　chart　technique　to　determine　the　skin　regions,　then　separate　the　touching　regions　apart　using　morphological　operators;　Second,　we　extract　the　candidate　facial　feature　regions　using　morphological　valley　operators,　for　each　skin　region;　Third,　we　match　the　candidate　facial　features　with　the　model　face　we　proposed　to　determine　the　optimal　facial　feature　combination　of　eyes　and　mouth,　thus　we　get　the　final　description　of　the　faces＇　geometric　information.　In　this　work,　we　improved　the　performance　of　the　chroma　chart,　introduced　morphological　operators　into　the　skin　region　analysis　and　facial　feature　detection,　put　forward　our　matching　scheme　that＇s　fast　and　stable.　The　whole　process　is　completely　automatic,　and　is　robust　to　lighting　conditions,　shading,　tilt,　multiple　faces,　etc.