Local Binary Pattern based Technique for Content Based Image Copy Detection
Mayank Srivastava, Jamshed Siddiqui, Mohammad Athar Ali · 2020
Now a day's there is a significant increase in the in the duplicate copies of large original images. One of the main reason for such duplication is due to the availability of large number of image editing software. In this paper, we have proposed a significant image hashing technique based on Local Binary Pattern (LBP) for image identification. Here, the input image is initially pre-processed to remove any kind of minor effects. Local binary pattern (LBP) is then applied to the processed image to produce features which is used for identification. The calculated experimental values show that proposed hashing is giving extraordinary performance against `Histogram equalization' attack. Receiver operating characteristics (ROC) curve shows that proposed hashing gives better results as compared to other referenced techniques. Keeping in view the results obtained for the proposed technique, one can say that we can use such a copy detector for online detection of image copies.