A new watermarking algorithm for scanned colored PDF files using DWT and hash function

Mahmoud, Abdulqader; Maharmeh, Hamza Al; Al-Ahmad, Hussain

doi:10.1109/ictrc.2015.7156441

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The experimental outcomes show that the projected technique outperforms a number of the opposite state-of-the art strategies in terms of preciseness and recall. [13] This paper a technique used to insert a watermark into scanned colored PDF files. The watermarking goals to protect the copyright possession and attest the PDF documents.…”

Section: Literature Surveymentioning

confidence: 99%

An Efficient Low Level Features of CBIR using Wavelet, GLDM and SMOSVM Metho

Pandey¹,

Kushwah²

2017

IJSIP

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Content Based Image Retrieval (CBIR) is a process that allows for a person to extract an image centered on a question, from a database containing an enormous amount of pictures. A very fundamental issue in designing a CBIR system is to select the image features that best represent the image contents in a database. In this research, efficient low level features of CBIR using Bi-cubic interpolation (BCI) with color coding (CC), gray level difference method (GLDM), Hu moments and four levels of discrete wavelet transform (DWT). In this paper the techniques of CBIR are discussed, analyzed and compared. BCI is used to scale the query image and database images. CC is used for color feature extraction. Apply DWT and GLDM on each level plane of an image for texture feature. Apply Hu moments are used for shape features. The experimental database performed on Corel database which contain fruit, flowers, sports, tools, facial images. Apply Sequential Minimal Optimization Support vector matching (SMOSVM) for classifying the data. The performance analysis of precision (P), execution time (T) for retrieving images. We calculate similarity distance on Euclidean distance (ED), Manhattan Distance (MD), City Block (CBD) and Canberra distance (CD).

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Section: Literature Surveymentioning

confidence: 99%

An Efficient Low Level Features of CBIR using Wavelet, GLDM and SMOSVM Metho

Pandey¹,

Kushwah²

2017

IJSIP

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“…According to the application scope and algorithm characteristics, current PDF watermarking algorithms can be divided into the following categories: PDF digital watermarks for copyright protection and leak tracing, PDF digital watermarks for tamper detection and electronic signatures [5][6][7][8], PDF digital watermarks for secure communication [9][10][11][12][13][14][15][16][17], and multi-functional PDF digital watermarks [18][19][20]. The watermarking schemes belonging to the second category need to detect whether the PDF document has been tampered with.…”

Section: Introductionmentioning

confidence: 99%

Robust PDF Watermarking against Print–Scan Attack

Li,

Zhang,

Meng

et al. 2023

Sensors

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Portable document format (PDF) files are widely used in file transmission, exchange, and circulation because of their platform independence, small size, good browsing quality, and the ability to place hyperlinks. However, their security issues are also more thorny. It is common to distribute printed PDF files to different groups and individuals after printing. However, most PDF watermarking algorithms currently cannot resist print–scan attacks, making it difficult to apply them in leak tracing of both paper and scanned versions of PDF documents. To tackle this issue, we propose an invisible digital watermarking technology based on modifying the edge pixels of text strokes to hide information in PDFs, which achieves high robustness to print–scan attacks. Moreover, it cannot be detected by human perception systems. This method focuses on the representation of text by embedding watermarks by changing the features of the text to ensure that changes in these features can be reflected in the scanned PDF after printing. We first segment each text line into two sub-blocks, then select the row of pixels with the most black pixels, and flip the edge pixels closest to this row. This method requires the participation of original PDF documents in detection. The experimental results show that all peak signal-to-noise ratio (PSNR) values of our proposed method exceed 32 dB, which indicates satisfactory invisibility. Meanwhile, this method can extract the hidden information with 100% accuracy under the JPEG compression attack, and has high robustness against noise attacks and print–scan attacks. In the case of no attacks, the watermark can be recovered without any loss. In terms of practical applications, our method can be applied in the practical leak tracing of official paper documents after distribution.

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