This study presents a new method to recognize facial emotional expression which is all accepted globally that has a great role in human communication. The method uses basic image processing techniques and based on curve fitting on mouth region and able to detect happiness, surprise and sadness emotions within the universally accepted emotional expressions (angry, disgust, fear, happy, sad and surprise). The proposed approach is tested on a test bed containing total of 78 human face images of 13 different people with a different emotional expression and the experimentations resulted a satisfactory performance level.