Angle feature extraction provides a new way for gait recognition.Statistical methods is used to calculate the angle interval mean and variance of pixels to centroid distance of the normalized gait silhouette images

the feature vector of gait recognition is constructed.Compared with the method of boundary feature extraction of gait silhouette images

this method has several advantages

for example the algorithm is simple

the computing speed is fast

and it does not need to set up complex mathematical models and so on.A lot of experiments have been done by Matlab7.5

using the CASIA database provided by Institute of Automation

Chinese Academy of Sciences.The experimental results demonstrated that the method has good recognition performance.