Abstract: The gait recognition method is a kind of identity recognition method according to the walking postures in the distance. For the low recognition rate caused by the incomplete outline image and the selected key frame which would easily lose information, we propose a gait recognition method based on double features using the layer matching fusion method. The gaits have both the static image characters and the dynamic speed characters, and we use the layer matching method to fuse 6 invariable moment features of the Hu moment with the frame difference percentage features. Firstly, the Hu moment features and the frame difference percentage features are extracted from a period of the normalized gait images, and the 6 invariable moment features are described as one feature vector. Secondly, the layer matching fusion method is used to fuse the tow features. Lastly, the k-Nearest neighbor method is used for the identity recognition. The experiments show that our method could efficiently raise the recognition rate.

Key words: gait recognition, Hu moment feature, frame difference percentage, layer matching fusion