To solve the problem of low efficiency for fast deduplicating the same image in massive images, a parallel deduplication technology for massive images based on image features was proposed. Firstly, the image color, texture, shape and other features were extracted to fully represent images. Secondly, the metric was used to calculate the distance between images. Finally, according to these distances, the same image could be fast located and deduplicated by the thought that the two points might be the same point if they had same distance to any other point. It has been analyzed and verified in combination with the experimental data that this technology is accurate in deduplicating images, besides, it just needs 10 minutes to deal with 5 million images by one computer with i5 processor. Compared with one by one calculation, the technology improves the efficiency of massive image deduplication and can shorten the calculation time.