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计算机应用研究 2010
Research of similar images detection algorithm based on MD5
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Abstract:
There are many similar or duplicate images in the World Wide Web, how to efficiently and accurately find those images has become an issue in search engine research area. This paper presented a similar images detection algorithm based on MD5, which selected the average of gray-block for feature. MD5 was generated by the feature after Laplacian eigenmap dimensionality reduction and vector quantization, then it detected the similar or duplicate images by the MD5. Experimental results show that the algorithm is effective.