Two　facial　images　captured　from　the　same　person,　one　with　spectacles　and　another　without　spectacles,　have　obviously　different　appearances.　The　strong　reflection　light　on　spectacles　surfaces　usually　also　forms　one　or　several　facula　regions　on　facial　images.　Our　proposed　method　can　reconstruct　a　face　image　without　spectacles　frame　and　facula　regions　from　one　with　spectacles　frame　and　facula　regions.　The　spectacles　frame　and　facula　regions　in　a　facial　image　can　be　achieved　by　means　of　some　simple　image　processing　methods.　And　Principal　Component　Analysis　(PCA)　is　then　used　to　obtain　a　partial　reconstruction　image　while　the　spectacles　frame　and　facula　regions　in　the　facial　image　are　not　used.　Gabor　feature　of　partially　reconstructed　image　without　spectacles　frame　and　facula　regions　is　used　for　face　recognition　by　means　of　PCA.　Experimental　results　demonstrate　that　our　method　can　achieve　a　higher　recognition　rate　based　on　the　FERET　face　database.　©　2006　IEEE.