Abstract: Support Vector Machine (SVM)is a popular discriminant method for the very purpose of achieving high separability between the different patterns in whose classification one is interested with good classification and robust performance.The method of calculation of Least Squares Support Vector Machine (LS_SVM) is introduced on the basis of the classic SVM and LS_SVM theories and used in face recognition to achieve a faster effect than the typical SVM.The experimental results on ORL databases show that LS_SVM system is more applicable to the face recognition environment which demanding realtime application.