Sub-images based image hashing with non-negative factorization

Supakorn Prungsinchai, Fouad Khelifi, Ahmed Bouridane

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

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.
Original languageEnglish
Title of host publication19th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages781-784
ISBN (Print)9781467312615
DOIs
Publication statusPublished - 2012
Event19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012) - Seville
Duration: 1 Jan 2012 → …

Conference

Conference19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012)
Period1/01/12 → …

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