Aiming at the problem of easy tampering and difficult integrity authentication of paper text documents, this paper proposes a robust content authentication method for printed documents based on text watermarking scheme resisting print-and-scan attack. Firstly, an authentication watermark signal sequence related to content of text document is generated based on the Logistic chaotic map model; then, the authentication watermark signal sequence is embedded into printed paper document by using a robust text watermarking scheme; finally, the watermark information is extracted from scanned image of paper document, and compared with the authentication watermark information calculated in real time by the text document content obtained by OCR technology, thereby performing content integrity authentication of the paper text documents. Experimental results show that our method can achieve the robust content integrity authentication of paper text documents, and can also accurately locate the tampering position. In addition, the document after embedding the watermark information has a good visual effect, and the text watermarking scheme has a large information capacity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3934/mbe.2019110 | DOI Listing |
Cureus
January 2025
Edinburgh Medical School, The University of Edinburgh, Edinburgh, GBR.
Over the past few decades, technological advancements have established digital tools as an indispensable pedagogical resource in the realm of modern education. In the field of medical education, there is growing interest in how these digital tools can be effectively integrated to enhance undergraduate surgical education. However, despite their well-documented potential benefits, research specifically investigating the current use of digital technology in undergraduate surgical education remains limited, highlighting a critical gap in the existing literature.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Hybrid Technology Hub, Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0372 Oslo, Norway.
: Tumor organoid and tumor-on-chip (ToC) platforms replicate aspects of the anatomical and physiological states of tumors. They, therefore, serve as models for investigating tumor microenvironments, metastasis, and immune interactions, especially for precision drug testing. To map the changing research diversity and focus in this field, we performed a quality-controlled text analysis of categorized academic publications and clinical studies.
View Article and Find Full Text PDFInt J Equity Health
January 2025
Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, 510515, China.
Objective: Perfect policy system support is the key to effective work, and policy evaluation can provide theoretical basis for policy revision. This study aims to quantitatively evaluate the two-way referral policy in China and thus improve the policy system of two-way referral.
Methods: This research focuses on 14 two-way referral policies published from 2007 to 2021.
PLoS One
January 2025
Department of Biomedical and Health Informatics, Tsui Laboratory, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Neural Network (S-CNN) that achieved an F1 score of 82.
View Article and Find Full Text PDFCJEM
January 2025
Dalla Lana School of Public Health, University of Toronto, Scarborough Health Network Research Institute, Toronto, ON, Canada.
Purpose: Intersex people make up 1.7-4% of the population of North America. A recent scoping review of emergency department (ED) relevant literature for the care of sexual and gender minorities found almost no representation of this population.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!