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It is hard to detect prints blobs with the present methods, based on the basic principle of statistical decision and Bayesian analysis, combining the theory of pattern recognition and machine vision related technology, this paper proposes a prints blobs detection method which based on minimum Bayesian risk decision method. A case study of the cigarette label is given to verify the accuracy and validity of this algorithm. The results of experiment show that the black blobs of the cigarette label can be detected quickly by the proposed method, and the blob image can keep the original shape. Finally, the further improvement of the method are proposed.