Abstract: Recently, gait recognition for individual identification has received much increased attention from biometrics researchers. Gait Energy Image(GEI) is an efficient represent method. We divided GEI into three parts-Body related GEI(13GEI),Gait related GEI(GGEI),Body Gait related GEI(BGGEI). `hhe fouricr descriptor was used to describe the BGEI and BGGEI. The Gabor wavelet was used to the GGEI to get the magnitude feature, research their recognition ability respectively,fusion the two parts of Gait Related GEI and Body-Gait Related GEI in rank level and score level to gait recognition. The algorithm was tested in the CASIA datasets and gained high correct recognition rates.

Key words: Gait energy image, Static feature, Dynamic feature, Fusion, Gait recognition