Emotion recognition is one of the better way to recognize state of mind of humans, there are several emotions such as Happy, Neutral, Disgust, Sad, Anger, Surprise, and Fear which are known as universal emotions. In this paper we are trying to extract different facial features using some well-known techniques such as Local Binary Patterns (LBP), Histogram of Gradients (HOG), Scale Invariant Feature Transform (SIFT) and Speeded-up Robust Features(SURF). These techniques are tested on the most popular Japanese Female Facial Expression (JAFFE) database. These Database have frontal view face images.