Sub-images based image hashing with non-negative factorization

Supakorn Prungsinchai; Fouad Khelifi; Ahmed Bouridane

doi:10.1109/ICECS.2012.6463543

Sub-images based image hashing with non-negative factorization

Supakorn Prungsinchai, Fouad Khelifi, Ahmed Bouridane

Computer Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-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 language	English
Title of host publication	19th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	781-784
ISBN (Print)	9781467312615
DOIs	https://doi.org/10.1109/ICECS.2012.6463543
Publication status	Published - 2012
Event	19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012) - Seville Duration: 1 Jan 2012 → …

Conference

Conference	19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012)
Period	1/01/12 → …

Keywords

image hashing
non-negative matrix factorization
robustness
security

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10.1109/ICECS.2012.6463543

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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.",

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author = "Supakorn Prungsinchai and Fouad Khelifi and Ahmed Bouridane",

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Prungsinchai, S, Khelifi, F & Bouridane, A 2012, Sub-images based image hashing with non-negative factorization. in 19th IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, Piscataway, NJ, pp. 781-784, 19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012), 1/01/12. https://doi.org/10.1109/ICECS.2012.6463543

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AU - Khelifi, Fouad

AU - Bouridane, Ahmed

PY - 2012

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N2 - 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.

AB - 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.

KW - image hashing

KW - non-negative matrix factorization

KW - robustness

KW - security

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DO - 10.1109/ICECS.2012.6463543

M3 - Chapter

SN - 9781467312615

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EP - 784

BT - 19th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

PB - IEEE

CY - Piscataway, NJ

T2 - 19th IEEE International Conference on Electronics, Circuits and Systems - (ICECS 2012)

Y2 - 1 January 2012

ER -

Sub-images based image hashing with non-negative factorization

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