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

Host image preprocessing-based anti-fake information hiding and recognizing method

A technology of host image and identification method, applied in the field of concealment and identification of anti-counterfeiting information, can solve the problems of low concealment, overlapping of outlets, limited moving position of outlets, etc., and achieves high concealment, diverse locations, good concealment and Extractive effects

Inactive Publication Date: 2018-11-16
合肥羿振电力设备有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (1) In the anti-counterfeiting information hiding stage, when the dot percentage exceeds 20%, the use of the phase modulation method will cause dot overlapping problems, causing visual perception, and the concealment is low;
[0008] (2) The location of outlets is limited

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
  • Host image preprocessing-based anti-fake information hiding and recognizing method
  • Host image preprocessing-based anti-fake information hiding and recognizing method
  • Host image preprocessing-based anti-fake information hiding and recognizing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0094] A method for hiding and identifying anti-counterfeiting information based on host image preprocessing, comprising the following steps:

[0095] Step 1. Select the host image and determine the hidden area

[0096] Select the host image that needs to hide anti-counterfeiting information. The host image needs to meet the following conditions:

[0097] (1), composed of m*n pixels, tiff format and color mode is CMYK (that is, composed of C channel, M channel, Y channel and K channel);

[0098] (2) At least one channel of the host image has a hidden area where anti-counterfeiting information can be set, the hidden area has s*s pixels, s is smaller than m and n, the channel where the hidden area is located is the master, and the remaining channels are 3 sub-plates, determine the position of the hidden area on the master plate, remember that all pixels in the hidden area have the same color value on the master plate, denoted as α, and the range of α is 0.1-0.5;

[0099] see fi...

Embodiment 2

[0146] see Figure 8-11 , on the basis of embodiment 1, the differences of embodiment 2 are: (1), the host image is different; (2), the anti-counterfeiting information is text; (3), α is 0.1;

[0147] Covert evaluation:

[0148] Carrying the master plate halftone figure of anti-counterfeit information in embodiment 2 and 3 secondary plate halftone figures carry out image synthesis, obtain the host image halftone figure carrying anti-counterfeit information; Adopt SSIM (structural similarity) algorithm and WSNR (weighted Signal-to-noise ratio) to evaluate the similarity between the halftone image of the host image without anti-counterfeiting information and the halftone image of the host image carrying anti-counterfeiting information, so as to indirectly obtain the evaluation results of the concealment of hidden information, as shown in Table 3 below Show:

[0149] Table 3 Example 2 similarity evaluation results

[0150]

[0151] Wherein, the closer the value of SSIM is t...

Embodiment 3

[0158] see Figures 12 to 15 , on the basis of embodiment 1, the differences of embodiment 3 are: (1), the host image is different; (2), the anti-counterfeiting information is a graphic; (3), α is 0.25;

[0159] Covert evaluation:

[0160] Carrying the master plate halftone figure of anti-counterfeiting information in embodiment 3 and 3 sub-version halftone figures carry out image synthesis, obtain the host image halftone figure carrying anti-counterfeiting information; Adopt SSIM (structural similarity) algorithm and WSNR (weighted Signal-to-noise ratio) to evaluate the similarity between the halftone image of the host image without anti-counterfeiting information and the halftone image of the host image carrying anti-counterfeiting information, so as to indirectly obtain the evaluation results of the concealment of hidden information, as shown in Table 5 below Show:

[0161] Table 5 Example 3 similarity evaluation results

[0162]

[0163] Wherein, the closer the value...

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 host image preprocessing-based anti-fake information hiding and recognizing method. The method comprises the following steps of: 1, setting a host image and determining a hiding area; 2, carrying out halftone processing on the host image; 3, hiding anti-fake information; and 4, recognizing the anti-fake information. According to the method, the phase modulation position is more diversified and flexible, the recognition method is more scientific, and the stealthiness of the anti-fake information is higher.

Description

technical field [0001] The invention belongs to the field of grating anti-counterfeiting technology, and in particular relates to a method for hiding and identifying anti-counterfeiting information based on host image preprocessing. Background technique [0002] The limit resolution ability of normal human vision is limited. When the size and pitch of dots in the digitally screened image are smaller than the limit resolution ability of human vision, the human eye cannot distinguish the dots. Therefore, in fact, the discretized binary image is discontinuous, but due to the visual characteristics of the human eye, if you look at it at a certain viewing distance, you cannot distinguish the dots at all, that is, you cannot distinguish the image details, and finally give people a continuous tone. image effects for print reproduction of continuous tone originals. [0003] Grating anti-counterfeiting is the anti-counterfeiting technology produced by the combination of halftone scr...

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
IPC IPC(8): G06T1/00G06T7/90
CPCG06T1/0021G06T7/90G06T2207/10024
Inventor 武行峰
Owner 合肥羿振电力设备有限公司
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