In order to overcome the low recognition rate of cat-eyeeffect target and ineffective distinction of car lights and telescopic sights,a recognition method ofcat-eyeeffect target based on texture character was proposed.Firstly,car lights were removed by filtering the difference images with the column-mean-subtraction,EHPF and median filter.Secondly,the discrimination was carried out in terms of the features of the shape of thecat-eyeeffect target.Finally,according to the texture features of the cat-eyeeffect target,membership vectors were constructed,and the fuzzy comprehensive evaluation was used to recognize thecat-eyeeffect target under the maximum membership degree principle.Experimental results indicate that the proposed method reduces false alarm rate and improves recognition rate compared with the shape-frequency dual criterions(SFDC)method.