Robust Image Hashing Scheme Based on DWT and Fuzzy ART

Abstract

Media hashing is an important skill for resolving copyright infringement. In this paper, we propose a robust image hashing scheme based on DWT and Fuzzy ART. The proposed scheme, which combines many encouraging characteristics from DWT, Fuzzy ART and quantization process, converts an image into a short and robust hash table. The weakness of Fuzzy ART which is sensitive to noise and outliers can be resolved by DWT. In addition, unlike general classification, such as k-mean, fuzzy c-means and so on, we can suitably decide the number of the clusters according to the vigilance parameter of Fuzzy ART. Experimental results demonstrate that the proposed scheme is robust against common image processing and geometric distortions. Moreover, the original image is not required during extracting the embedded watermark.