Watermarking text document image using pascal triangle approach
Emergence of internet and other modern digital applications such as electronic publishing and digital library make it easy to reproduce and re-distribute digital contents thus give room to so many copyright violations including plagiarism and other illegal use of contents that need to be resolved. O...
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my-utm-ep.486732020-06-17T00:49:53Z Watermarking text document image using pascal triangle approach 2014 Khudhair, Samar Kamil QA76 Computer software Emergence of internet and other modern digital applications such as electronic publishing and digital library make it easy to reproduce and re-distribute digital contents thus give room to so many copyright violations including plagiarism and other illegal use of contents that need to be resolved. One way to prevent these illicit activities is to watermark the document before distribution. Thus, this research proposes a new text document image watermarking algorithm which emphasises on two most important measures, visual quality and robustness. In order to boost these measures, third least significant bit has been used for insertion. In addition, to further strengthen the technique, the Pascal Triangle is applied to determine the best position for embedding. Experimental results on the standard dataset have revealed that the proposed watermarking has achieved very encouraging results with PSNR and NCC averaged 54.95db and 0.98 respectively. In terms of robustness against adding noise attacks, the performance of the proposed technique, however, is less satisfactory. 2014 Thesis http://eprints.utm.my/id/eprint/48673/ http://eprints.utm.my/id/eprint/48673/1/SamarKamilKhudhairMFC2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85298?queryType=vitalDismax&query=Watermarking+text+document+image+using+pascal+triangle+approach&public=true masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing |
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Universiti Teknologi Malaysia |
collection |
UTM Institutional Repository |
language |
English |
topic |
QA76 Computer software |
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QA76 Computer software Khudhair, Samar Kamil Watermarking text document image using pascal triangle approach |
description |
Emergence of internet and other modern digital applications such as electronic publishing and digital library make it easy to reproduce and re-distribute digital contents thus give room to so many copyright violations including plagiarism and other illegal use of contents that need to be resolved. One way to prevent these illicit activities is to watermark the document before distribution. Thus, this research proposes a new text document image watermarking algorithm which emphasises on two most important measures, visual quality and robustness. In order to boost these measures, third least significant bit has been used for insertion. In addition, to further strengthen the technique, the Pascal Triangle is applied to determine the best position for embedding. Experimental results on the standard dataset have revealed that the proposed watermarking has achieved very encouraging results with PSNR and NCC averaged 54.95db and 0.98 respectively. In terms of robustness against adding noise attacks, the performance of the proposed technique, however, is less satisfactory. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Khudhair, Samar Kamil |
author_facet |
Khudhair, Samar Kamil |
author_sort |
Khudhair, Samar Kamil |
title |
Watermarking text document image using pascal triangle approach |
title_short |
Watermarking text document image using pascal triangle approach |
title_full |
Watermarking text document image using pascal triangle approach |
title_fullStr |
Watermarking text document image using pascal triangle approach |
title_full_unstemmed |
Watermarking text document image using pascal triangle approach |
title_sort |
watermarking text document image using pascal triangle approach |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Computing |
granting_department |
Faculty of Computing |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/48673/1/SamarKamilKhudhairMFC2014.pdf |
_version_ |
1747817447840284672 |