Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for processing an anti-forgery image with a multi-layer key set

A processing method and anti-counterfeiting technology, applied in image data processing, image data processing, usage of multiple keys/algorithms, etc. Anti-counterfeiting difficulty, improving forgery difficulty, high embedding rate effect

Inactive Publication Date: 2018-12-25
HEFEI TONGYOU ELECTRONICS TECH CO LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the grating sheet will produce different viewing effects at different viewing angles, after it is overlaid on the dot matrix graphics, several shapes will be presented at different viewing angles based on the same dot matrix graphics, thus The style of dot matrix graphics is more variable, but the information capacity of the anti-counterfeiting mark is small, the embedding rate is low, and the scope of application is narrow

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for processing an anti-forgery image with a multi-layer key set
  • A method for processing an anti-forgery image with a multi-layer key set
  • A method for processing an anti-forgery image with a multi-layer key set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] Provide a kind of processing method of the anti-forgery image of setting multi-layer key among the present embodiment 1, comprise the following steps:

[0059] (1), pretreatment

[0060] Preprocessing mainly includes: acquisition of basic information of the original image, color separation of the original image, discretization of the original image and selection of the key;

[0061] Specifically, see figure 1 , input the original image, the original image is a midtone image, the image size is 3cm*4cm, the size includes length and width, the unit is cm, the pixels of the original image are in the Y channel color separation image, the M channel color separation image, and the C channel The color values ​​on the color separation image and the K channel color separation image are T Y(x,y) , T M(x,y) , T C(x,y) and T K(x,y) , where the subscript (x, y) represents the position of the pixel, T Y(x,y) =20~25%, T M(x,y) =30~40%, T C(x,y) =5~8%, T K(x,y) = 1~5%;

[0062...

Embodiment 2

[0083] Provide a kind of processing method of the anti-forgery image of setting multi-layer key in this embodiment 2, comprise the steps:

[0084] (1), pretreatment

[0085] Preprocessing mainly includes: acquisition of basic information of the original image, color separation of the original image, discretization of the original image and selection of the key;

[0086] Specifically, see Figure 5 , input the original image, the original image is a mid-tone image and has tone changes and texture features, the image size includes length and width, and the unit is cm, in this embodiment 2, the image size is 5cm*5m; adopt color mode conversion to the original The image is decomposed, that is, the RGB color space of the original image is converted into the CMYK color space, and four color separation images of the original image on the Y channel, M channel, C channel and K channel are obtained;

[0087] Use amplitude modulation screening for the 4 color separation images of Y cha...

Embodiment 3

[0099] Embodiment 3 provides a method for processing anti-forgery images with multi-layer keys. Compared with Embodiment 1, the difference is that different original images and keys are selected. See Figure 9 , 10 , 11 and 12.

[0100] The present invention uses an objective evaluation algorithm to evaluate the anti-counterfeiting performance of all keys in Embodiments 1, 2 and 3. The anti-counterfeiting performance includes the imperceptibility of the human eye before detection and the clarity after detection. The present invention adopts WSNR (weighted signal noise ratio) and SSIM (structural similarity) to evaluate the imperceptibility of human eyes in matlab software, using the sharpness function F i and T i Evaluate the clarity after detection in matlab software (due to WSNR, SSIM, F i and T i The algorithm is known in the art, so the algorithm formula is omitted), the calculation results obtained are shown in Table 1 below:

[0101] Table 1 Objective evaluation of ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a processing method for an anti-forgery image with a multi-layer key, which relates to the technical field of image anti-forgery. The method comprises the following steps: (1)pre-processing, and inputting an original image to obtain the size and input resolution of the original image; determining information of a key, the key comprising a first key, a second key and a third key, wherein the first key and the second key are numeric, the third key is a graph; (2) setting a first key, a second key and a third key; 3) generating an anti-counterfeit image to be output. Theinvention provides a multi-level key, at the same time, the multi-level encryption means and the detection means are used to improve the difficulty of forgery prevention and the information capacity is large.

Description

technical field [0001] The invention belongs to the technical field of image anti-counterfeiting, and in particular relates to a method for processing anti-counterfeiting images with multi-layer keys. Background technique [0002] With the development of the three major technologies of halftone digital screening technology, computer image processing technology and computer-to-plate technology, the new printing anti-counterfeiting technology based on halftone dot shape and spatial position distribution has also been highly recognized by printing industry professionals. Pay attention to and actively explore. For example, the digital watermark algorithm based on the spatial domain of point-to-point error diffusion digital screening technology researched by Professor Wan Xiaoxia of Wuhan University, this algorithm embeds digital watermark information in the process of digital image screening; The team of Professor Zhang Yixin from Jiangnan University mainly focused on and exten...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00H04L9/14H04N1/44
CPCG06T1/0021G06T2201/0065H04L9/14H04N1/44
Inventor 李丹丹
Owner HEFEI TONGYOU ELECTRONICS TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com