Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection

Thanki, Rohit M.; Dwivedi, Ved Vyas; Borisagar, Komal R.

doi:10.32890/jict2017.16.1.8227

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…In the second set, biometric data is embedded into natural images to protect intellectual property rights and copyright. Various biometric data such as speech signal [10,11], fingerprint [12][13][14], face [15,16], iris [17][18][19][20], and signature [21] are used as watermark for this purpose. Authors in [18] and [19] embedded iris code into cover image using Discrete Wavelet Transform (DWT)-Singular Value Decomposition (SVD)-based and Discrete Cosine Transform (DCT)-SVD-based hybrid watermarking schemes, respectively.…”

Section: Introductionmentioning

confidence: 99%

Biometric Watermarking Schemes Based on QR Decomposition and Schur Decompositon in RIDWT Domain

Altay

Ulutaş

2023

Preprint

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In this paper, two new methods are proposed to hide a biometric-based digital watermark generated from an iris image into a color image to resolve ownership conflicts. One of them is the QR decomposition-based approach in the redistributed invariant discrete wavelet transform (RIDWT) domain, and the other is the Schur decomposition-based approach in the RIDWT domain. After the Y channel of the color image in YCbCr space is decomposed by RIDWT, the lowest frequency sub-band is divided into non-overlapping blocks. Blocks with a lower standard deviation are selected to embed each bit of the watermark created from the iris image into a block. Watermarking of selected blocks is performed with QR decomposition in the first approach and Schur decomposition in the second approach. The firefly algorithm is used to balance the robustness and perceptual transparency in hiding the watermark. Experimental results are evaluated in terms of robustness and imperceptibility to prove the effectiveness of the proposed systems. In addition, validation performances are analyzed based on false rejection rate, false acceptance rate and equal error rate. The results show that both methods have high perceptual quality and robustness, and also a very low error rate in ownership verification.

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Section: Introductionmentioning

confidence: 99%

Biometric Watermarking Schemes Based on QR Decomposition and Schur Decompositon in RIDWT Domain

Altay

Ulutaş

2023

Preprint

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Hough Transform Generated Strong Image Hashing Scheme for Copy Detection

Srivastava

Siddiqui

Ali

2018

Journal of Information and Communication Technology

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The rapid development of image editing software has resulted in widespread unauthorized duplication of original images. This has given rise to the need to develop robust image hashing technique which can easily identify duplicate copies of the original images apart from differentiating it from different images. In this paper, we have proposed an image hashing technique based on discrete wavelet transform and Hough transform, which is robust to large number of image processing attacks including shifting and shearing. The input image is initially pre-processed to remove any kind of minor effects. Discrete wavelet transform is then applied to the pre-processed image to produce different wavelet coefficients from which different edges are detected by using a canny edge detector. Hough transform is finally applied to the edge-detected image to generate an image hash which is used for image identification. Different experiments were conducted to show that the proposed hashing technique has better robustness and discrimination performance as compared to the state-of-the-art techniques. Normalized average mean value difference is also calculated to show the performance of the proposed technique towards various image processing attacks. The proposed copy detection scheme can perform copy detection over large databases and can be considered to be a prototype for developing online real-time copy detection system.

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Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection

Cited by 2 publications

References 7 publications

Biometric Watermarking Schemes Based on QR Decomposition and Schur Decompositon in RIDWT Domain

Biometric Watermarking Schemes Based on QR Decomposition and Schur Decompositon in RIDWT Domain

Hough Transform Generated Strong Image Hashing Scheme for Copy Detection

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