{"title":"Robust text watermarking based on average skeleton mass of characters against cross-media attacks","authors":"Xinyi Huang, Hongxia Wang","doi":"10.1016/j.jvcir.2024.104300","DOIUrl":null,"url":null,"abstract":"<div><div>The wide spread of digital documents makes it essential to protect intellectual property and information security. As a key method of digital copyright protection, robust document watermarking technology has attracted much attention in this context. With the rapid development of current electronic devices, the ways of document theft are no longer limited to copy and transmission. Due to the convenient and fast shooting operation of the camera on paper or screen, current text watermarking methods need to be robust to cope with cross-media transmission. To realize the corresponding robust text watermarking, a text watermarking scheme based on the average skeleton mass of characters is proposed in this paper, and the average skeleton mass of adjacent characters is used to represent the watermark information. In this paper, a watermarking scheme is designed to modify character pixels, which can modify glyphs without loss of transparency and provide high embedding capacity. Compared with the existing manually designed font-based text watermarking schemes, this scheme does not need to accurately segment characters, nor does it rely on stretching characters to the same size for matching, which reduces the need for character segmentation. In addition, the experimental results show that the proposed watermarking scheme can be robust to the information transmission modes including print-scan, print-camera and screen-camera.</div></div>","PeriodicalId":54755,"journal":{"name":"Journal of Visual Communication and Image Representation","volume":"104 ","pages":"Article 104300"},"PeriodicalIF":2.6000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Visual Communication and Image Representation","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1047320324002566","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The wide spread of digital documents makes it essential to protect intellectual property and information security. As a key method of digital copyright protection, robust document watermarking technology has attracted much attention in this context. With the rapid development of current electronic devices, the ways of document theft are no longer limited to copy and transmission. Due to the convenient and fast shooting operation of the camera on paper or screen, current text watermarking methods need to be robust to cope with cross-media transmission. To realize the corresponding robust text watermarking, a text watermarking scheme based on the average skeleton mass of characters is proposed in this paper, and the average skeleton mass of adjacent characters is used to represent the watermark information. In this paper, a watermarking scheme is designed to modify character pixels, which can modify glyphs without loss of transparency and provide high embedding capacity. Compared with the existing manually designed font-based text watermarking schemes, this scheme does not need to accurately segment characters, nor does it rely on stretching characters to the same size for matching, which reduces the need for character segmentation. In addition, the experimental results show that the proposed watermarking scheme can be robust to the information transmission modes including print-scan, print-camera and screen-camera.
期刊介绍:
The Journal of Visual Communication and Image Representation publishes papers on state-of-the-art visual communication and image representation, with emphasis on novel technologies and theoretical work in this multidisciplinary area of pure and applied research. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems.