Minutiae based fingerprint image hashing

Rajesh Muthu; Ahmed Bouridane; Fouad Khelifi

doi:10.1109/CoDIT.2014.6996981

Minutiae based fingerprint image hashing

Rajesh Muthu, Ahmed Bouridane, Fouad Khelifi

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

This paper proposes a robust minutiae based fingerprint image hashing technique. The idea is to incorporate the orientation and descriptor in the minutiae of fingerprint images using SIFT-Harris feature points. A recent shape context based perceptual hashing method has been compared against the proposed technique. Experimentally, the proposed technique has been shown to deliver better robustness against image processing operations including JPEG lossy compression and geometric attacks such as rotation and translation.

Original language	English
DOIs	https://doi.org/10.1109/CoDIT.2014.6996981
Publication status	Published - Nov 2014
Event	Codit'14 - 2nd International Conference on Control, Decision and Information Technologies - Metz, France Duration: 1 Nov 2014 → …

Conference

Conference	Codit'14 - 2nd International Conference on Control, Decision and Information Technologies
Period	1/11/14 → …

Keywords

Minutiae
feature extraction
fingerprint image hashing
shape contexts
cryptography
transforms

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10.1109/CoDIT.2014.6996981

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title = "Minutiae based fingerprint image hashing",

abstract = "This paper proposes a robust minutiae based fingerprint image hashing technique. The idea is to incorporate the orientation and descriptor in the minutiae of fingerprint images using SIFT-Harris feature points. A recent shape context based perceptual hashing method has been compared against the proposed technique. Experimentally, the proposed technique has been shown to deliver better robustness against image processing operations including JPEG lossy compression and geometric attacks such as rotation and translation.",

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AU - Khelifi, Fouad

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AB - This paper proposes a robust minutiae based fingerprint image hashing technique. The idea is to incorporate the orientation and descriptor in the minutiae of fingerprint images using SIFT-Harris feature points. A recent shape context based perceptual hashing method has been compared against the proposed technique. Experimentally, the proposed technique has been shown to deliver better robustness against image processing operations including JPEG lossy compression and geometric attacks such as rotation and translation.

KW - Minutiae

KW - feature extraction

KW - fingerprint image hashing

KW - shape contexts

KW - cryptography

KW - transforms

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DO - 10.1109/CoDIT.2014.6996981

M3 - Paper

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Minutiae based fingerprint image hashing

Abstract

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Keywords

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