This paper presents a novel method for recognizing object categories. In this method

matting technique is applied to estimate foreground distribution information

which provides weights for image blocks. Blocks describing foreground are given higher weights

while blocks describing background are given lower weights

then all the blocks are sorted according to the assigned weight.We also conducted imagery comparison study. First of all

distances between blocks with corresponding weights are evaluated

and then the similarity between images can be obtained through adding all the distances between blocks by weights. Experiments on challenging object categorization image sets demonstrate the effectiveness of this method.