Single source images do not contain the comprehensive information of the target and the target recognition rate is low. Targeting to these problems, a new target recognition method based on fusing features of the target in Visible (VIS), Middle Wave Infrared (MWIR) and Long Wave Infrared (LWIR) images is proposed. First, typical features of the target in VIS, MWIR and LWIR images are extracted. The fused feature vector is subsequently obtained by feature selection based on Fisher discriminant analysis. Finally, target recognition is realized through Support Vector Machine (SVM). The target recognition performance of the proposed method and five other target recognition algorithms were tested and compared on VIS, MWIR and LWIR images. Experimental results illustrate that the target recognition rate of the proposed algorithm is higher than that of the five other algorithms tested. The proposed algorithm also has high operational efficiency and robustness.