Face images recognition research based on smooth filter and Support Vector Machine

Smooth filter can restrain and eliminate yawp source, gain images of high quality. An integrative system of human faces recognition is built up, and human faces recognition are carried out through preprocessing, characteristic extraction, classification and recognition. Methods of smooth filter during preprocessing are studied, each processing effect of neighbouring area average, Gauss flatness and median filter is intercompared. Human faces recognition experiments are carried out, and Least Square Support Vector Machine is adopted during recognition.