The invention provides a cross angle of view gait recognition method based on two-dimensional coupling margin Fisher analysis. According to the invention, the characteristics of a gait energy graph at different angles of view and the superiority of coupling metric learning in the aspect of cross-domain biometric feature recognition are combined; two-dimensional coupling margin Fisher analysis is provided; data difference of the cross angle of view gait energy graph in matrix space is weakened; local relation among samples is kept; the intra-class divergence is the largest; the intra-class divergence is the smallest; and the cross angle of view gait recognition performance is greatly improved.