Facial expression recognition, due to its wide research areas become active research topic. This paper presents comparative analysis of automatic Facial Expression Recognition by compensating effect of age on the recognition process by Weighted Least Square filtering. System uses Gabor filter and Log Gabor filter to extract facial features. The SVM classifier is first trained using known input images and then classifies unknown input images. From experimental results, it can be concluded that recognition accuracy improves with use of Log Gabor filter whereas time required for processing is more when Log Gabor filter is used as compared to Gabor filter.