Iris_SuanPhueng featureA = np.load('LG_L_enroll.npy',allow_pickle=True) featureB = np.load('LG_L_test.npy',allow_pickle=True) Simplest Hamming Distance C = np.logical_xor(featureA[0], featureB[1]) HD = np.sum(C == 1)/featureA[0].size print(HD)