TY - EJOU AU - Tang, Zhenjun AU - Ling, Man AU - Yao, Heng AU - Qian, Zhenxing AU - Zhang, Xianquan AU - Zhang, Jilian AU - Xu, Shijie TI - Robust Image Hashing via Random Gabor Filtering and DWT T2 - Computers, Materials \& Continua PY - 2018 VL - 55 IS - 2 SN - 1546-2226 AB - Image hashing is a useful multimedia technology for many applications, such as image authentication, image retrieval, image copy detection and image forensics. In this paper, we propose a robust image hashing based on random Gabor filtering and discrete wavelet transform (DWT). Specifically, robust and secure image features are first extracted from the normalized image by Gabor filtering and a chaotic map called Skew tent map, and then are compressed via a single-level 2-D DWT. Image hash is finally obtained by concatenating DWT coefficients in the LL sub-band. Many experiments with open image datasets are carried out and the results illustrate that our hashing is robust, discriminative and secure. Receiver operating characteristic (ROC) curve comparisons show that our hashing is better than some popular image hashing algorithms in classification performance between robustness and discrimination. KW - Image hashing KW - Gabor filtering KW - chaotic map KW - skew tent map KW - discrete wavelet transform DO - 10.3970/cmc.2018.02222