BibTeX:

@article{IJIRSTV1I4006,
     title={FACE EXPRESSION MATCHING USING MSRCR STATIC FACE IMAGES USING MATLAB GUI},
     author={SABITH SANAL and Reneesh Zacharia},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={4},
     pages={29--35},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I4006.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The face expression matching follow the same concept used in face recognition system. This system requires various face expressed-images with less variation in illumination and color constancy. In order to overcome the variations in the image, the MSRCR algorithm is used. This algorithm provides good fidelity to the observer and system by eliminating the illumination variations and maintaining the color of the image. The MSRCR enhanced image is given to the face expression recognition system for matching purpose. This system comprises of face detection with skin color segmentation, Gabor filter, PCA and Euclidean Distance as a classifier. The design of the system is implemented in MATLAB GUI. The MSRCR enhanced image provides good recognition rate and therefore can be used as a good enhancement technique. The significance of MSRCR is studied by evaluating and comparing the contrast and luminance performance factor with histogram equalization.

Multi-Scale Retinex Color Restoration (MSRCR), Face Expression System (FER), Face Detection System (FDR), Modified YUV color space model, Principal Component Analysis (PCA), Contrast and Luminance Factor, MATLAB GUI (Graphical User Interface)