Efficient wavelet-based perceptual watermark masking for robust fingerprint image watermarking

Zebbiche, Khalil and Khelifi, Fouad (2014) Efficient wavelet-based perceptual watermark masking for robust fingerprint image watermarking. IET Image Processing, 8 (1). pp. 23-32. ISSN 1751-9659

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Abstract

In this study, a robust wavelet-based fingerprint image watermarking scheme using an efficient just perceptual weighting (JPW) model has been proposed. The JPW model exploits three human visual system characteristics, namely: spatial frequency sensitivity, local brightness masking and texture masking, to compute a weight for each wavelet coefficient, which is then used to control the amplitude of the inserted watermark. The idea is motivated by the fact that fingerprint images perceptually differ from natural images and a JPW model adapted to such images would further enhance the robustness of the watermarking scheme. Experimental results show that the proposed model significantly improves the performance of the conventional watermarking technique in terms of robustness while maintaining the same imperceptibility of the watermark. Finally, the proposed technique has shown a clear superiority over a number of related state-of-the-art masking techniques.

Item Type:	Article
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Becky Skoyles
Date Deposited:	11 Jul 2014 15:03
Last Modified:	12 Oct 2019 19:08
URI:	http://nrl.northumbria.ac.uk/id/eprint/17125

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