A method for generating and identifying document anti-counterfeiting based on green noise features

Abstract

The invention discloses a method for generating and identifying anti-counterfeiting documents based on green noise features. In the generating method, the characteristics of the intermediate frequency distribution of green noise are used to generate anti-counterfeiting shading in the document, making it consistent with the low-frequency and high-frequency areas of Fourier space. The distributed text information does not interfere with each other, and the anti-counterfeiting information is directly embedded in the text information; in the identification method, the anti-counterfeiting pattern is scanned and extracted and analyzed to determine the authenticity of the document.

Description

technical field [0001] The invention belongs to the technical field of printing anti-counterfeiting, and in particular relates to a method for generating and identifying document anti-counterfeiting based on green noise features. Background technique [0002] The forgery of bills, contracts and other documents in our country is rampant, which brings new challenges to the information security prevention and information anti-counterfeiting of state agencies, enterprises, institutions and users. How to effectively ensure the authenticity, integrity and uniqueness of output information, and prevent illegal copying, forgery and tampering of information has become an unavoidable problem in today's society. [0003] The security and anti-counterfeiting issues of printed output information are mainly related to three aspects, namely printing paper, printing ink and printing content. Although methods such as special anti-counterfeiting paper and anti-counterfeiting ink can improve t...

AI Technical Summary

Problems solved by technology

When the digital content embeds anti-counterfeiting information or forms an anti-counterfeiting mark at a low frequency in Fourier space, the visibility of changes to the original digital content is high, but the robustness against D / A conversion, sampling, and A / D conversion is also high; in When the high-frequency region of the Fourier space of digital content embeds anti-counterfeiting information or forms anti-counterfeiting marks, the visibility of the original image change is low, but the robustness against D / A conversion and A / D conversion is also low

Many digital anti-counterfeiting methods will embed anti-counterfeiting information into high-frequency areas in order to minimize the original information of digital content, but the anti-counterfeiting performance will be invalid due to the printing and identification process

In addition, documents are different from ordinary images. From the perspective of images, they have the characteristics of less information. Therefore, the digital anti-counterfeiting methods in the prior art cannot directly embed anti-counterfeiting information into text.

Images