A Feature-Based Semi-fragile Watermarking Algorithm for Digital Color Image Authentication Using Hybrid Transform

Patel, Hiral A.; Divecha, Nidhi H.

doi:10.1007/978-981-10-3773-3_44

Cited by 8 publications

(1 citation statement)

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“…Ba-Alwi et al [31], also developed the ADV-LNMZW3 method, which is an extension for the LNMZW3 algorithm.A hybrid approach based on zerowatermarking and digital-signature-like manipulations were presented by Tayan et al [32] for sensitive text documents in order to achieve content originality and integrity verification. Tayan et al [33] suggested an adaptive zero-watermarking technique for authentication of highly-sensitive documents, such as Quran, which is based on a spread-spectrum approach that embeds one-watermark bit per set, with a parameterized set-size.One of the most prominent properties of zero-based text watermarking methods is fragility and watermark size.Halab et al [34] described a semi-fragile watermarking approach through multiple features extraction. The cany edge detector is utilized for extraction of original samples the watermark is combined for more security improvement.…”

Section: Related Workmentioning

confidence: 99%

Enhancing fragility of zero-based text watermarking utilizing effective characters list

Saba

Bashardoost

Kolivand

et al. 2019

Multimed Tools Appl

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Text is an important medium used for sharing information worldwide. For a text document, digital watermarking is an efficient way for copyright protection, authentication, tamper proofing, to name but a few. In this paper, a zero-based watermarking approach is proposed for document authentication and tamper detection. To enhance the fragility of watermark, the proposed text watermarking approach can be comfortably utilizedbased on the Effective Characters List (ECL) for watermark generation. The ECL method is generated for English text zero-watermarking by maintaining the contents of the original document and constructing the watermark by formulating the smooth transition between the selected characters in the documents. The evaluation of the proposed watermarking approach is based on three famous watermarking attacks including deletion, insertion, and reordering with an accuracy of 80.76%, 80.36%, and 88.1%, respectively. For a fair evaluation, a comparison is put forth with a recent zero-based watermarking method-clearly showing that the proposed method outperforms existing with greater accuracy.

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Section: Related Workmentioning

confidence: 99%