This paper proposes a robust and secure perceptual image hashing technique based on random sub-image selection, non-negative matrix factorization and DWT transform where the hashes are extracted in a binary form. The binary hash values are obtained with a perfect control over the probability distribution of hash bits. A key is used randomize the feature vector. Experimentally, the proposed technique has been shown to yield a good performance with respect to robustness against image processing operations including JPEG lossy compression, additive noise and geometric attacks such as rotation, translation and more secure of image hashing scheme.
|Title of host publication||19th IEEE International Conference on Electronics, Circuits and Systems (ICECS)|
|Place of Publication||Piscataway, NJ|
|Publication status||Published - 2012|
|Event||19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012) - Seville|
Duration: 1 Jan 2012 → …
|Conference||19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012)|
|Period||1/01/12 → …|