A method for determining an optimal amplification effect of micro information based on human eye visual characteristics

A human visual and micro technology, applied in the field of printing industry, can solve the problems of lack of practical application, insufficient "micro" of micro information model, lack of quantitative standard of magnification effect, etc., to optimize micro information magnification technology and improve anti-counterfeiting effect. , the effect of small size of micro information

Active Publication Date: 2019-06-04
SHAANXI UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technique helps determine how well an image has been enlarged by comparing it with another similar one or other without showing any changes over time. By measuring these differences between images, we can identify if they are genuine ones from fake documents. It also explains why this process works better when compared against existing methods like barcodes.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving antiforge techniques for printed materials such as labels or tags used on packaging containing valuable items like drugs or foodstuffs. Current methods involve adding hidden features (such as watermarks) which may help make them difficult to replicate without being detected with high confidence from potential buyers who have copied these false identifiers onto their own product's labeling material.

Method used

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  • A method for determining an optimal amplification effect of micro information based on human eye visual characteristics
  • A method for determining an optimal amplification effect of micro information based on human eye visual characteristics
  • A method for determining an optimal amplification effect of micro information based on human eye visual characteristics

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Embodiment 1

[0046] Now, taking the letter "SUST" with a size of 100pt as an example as the target information, the specific process of the method for determining the best magnification effect of miniature information based on the visual characteristics of the human eye in the present invention is specifically described.

[0047] (1) Make target information:

[0048] In the graphics processing software CorelDraw, use the "text tool" to make 100pt (99.261×26.111) "SUST" letters, and use it as the target information. figure 1 For the target infographic.

[0049] (2) Make micro-information:

[0050] Copy "SUST" in step 1 to form eleven sets of target information, and compress them longitudinally to 0.5mm, 0.7mm, 0.8mm, 0.9mm, 1.0mm, 1.2mm, 1.5mm, 1.8mm, 2.0mm, 2.3 mm, 2.5mm, forming miniature information. Based on the visual characteristics of the human eye, according to the formula (1), the distance between each micro-information is calculated to be 0.056mm, and eleven groups of micro-inform

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Abstract

The invention discloses a method for determining an optimal amplification effect of micro information based on human eye visual characteristics. The method specifically comprises the following steps:step 1, manufacturing target information with a certain size; 2, compressing the target information to form micro information, and finishing a micro information layer; Step 3, manufacturing a displaygrating, and finishing a micro information amplification effect; 4, according to the size of the target information, correcting the size of the display grating, and completing the micro information optimal amplification effect; And step 5, fitting the micro information height related to the optimal amplification effect of the micro information, the display grating distance and the amplification information height to a three-dimensional relational graph, and fitting a formula model. Based on human eye visual characteristics, the micro information amplification technology is optimized, and the practical operation and safety of anti-counterfeiting application are improved.

Description

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Claims

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Application Information

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Owner SHAANXI UNIV OF SCI & TECH
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