Existing steganalysis systems are usually assumed that their target steganography and configurations are known.However,this assumption does not hold in actual implementation.The adaptability of different steganalysis systems varies during the detection of different steganographic algorithms with different configurations.In this paper,we define such applicability as the blindness and create a specific evaluation criterion based on the probability model for steganographic systems,and analyse the way to improve the blindness including the features fusion and optimisation as well as the decision level fusion.Experimental results show that,our criterion is effective in indicating the adaptabilities of steganalysis system on specific steganographic system,and the proposed schemes do have raised the blindness.