A New Pixels Flipping Method for Huge Watermarking Capacity of the Invoice Font Image

Author:

Li Li1,Hou Qingzheng1,Lu Jianfeng1,Xu Qishuai1ORCID,Dai Junping2,Mao Xiaoyang3,Chang Chin-Chen45

Affiliation:

1. Institute of Graphics and Image, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China

2. Institute of Digital Media, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China

3. University of Yamanashi, Yamanashi-ken 409-3866, Japan

4. Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan

5. Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan

Abstract

Invoice printing just has two-color printing, so invoice font image can be seen as binary image. To embed watermarks into invoice image, the pixels need to be flipped. The more huge the watermark is, the more the pixels need to be flipped. We proposed a new pixels flipping method in invoice image for huge watermarking capacity. The pixels flipping method includes one novel interpolation method for binary image, one flippable pixels evaluation mechanism, and one denoising method based on gravity center and chaos degree. The proposed interpolation method ensures that the invoice image keeps features well after scaling. The flippable pixels evaluation mechanism ensures that the pixels keep better connectivity and smoothness and the pattern has highest structural similarity after flipping. The proposed denoising method makes invoice font image smoother and fiter for human vision. Experiments show that the proposed flipping method not only keeps the invoice font structure well but also improves watermarking capacity.

Funder

Ministry of Science and Technology of China

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reversible Watermarking Algorithm for Halftone Images Based on Overlapping Blocks Scanning and Central Pixels Flipping;2022 2nd International Conference on Computer Graphics, Image and Virtualization (ICCGIV);2022-09

2. A robust watermarking approach for security issue of binary documents using fully convolutional networks;International Journal on Document Analysis and Recognition (IJDAR);2020-08-11

3. A robust DCT-2DLDA watermark for color images;Multimedia Tools and Applications;2018-08-17

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