Anti-counterfeiting image generation algorithm based on microstructure dots

Xiaoyu Yang; Liuping Feng; Guichun Yuan; Jing Ning

doi:10.1117/12.2605868

15 September 2021 Anti-counterfeiting image generation algorithm based on microstructure dots

Xiaoyu Yang, Liuping Feng, Guichun Yuan, Jing Ning

Proceedings Volume 11915, International Conference on Optics and Image Processing (ICOIP 2021); 119150C (2021) https://doi.org/10.1117/12.2605868
Event: International Conference on Optics and Image Processing (ICOIP 2021), 2021, Guilin, China

Abstract

With the popularity of high-precision printing equipment, leading to the widespread spread of pirated products. Because of some disadvantages in traditional anti-counterfeiting printing, a half-tone anti-counterfeiting image generation algorithm based on microstructure dots is proposed. First, the word library automatically generates the character word library containing the grayscale and morphological differences, and then matches and replaces the image according to the similarity of the image, so as to realize the generation of the anti-counterfeiting image. Experimental results show that the anti-counterfeiting image based on microstructure dot generated by this algorithm is visually small from the original image, and after the anti-counterfeiting image is enlarged, the embedded micro characters are clearly visible, and the algorithm has broad application prospects in packaging anti-counterfeiting.

Citation Download Citation

Xiaoyu Yang, Liuping Feng, Guichun Yuan, and Jing Ning "Anti-counterfeiting image generation algorithm based on microstructure dots", Proc. SPIE 11915, International Conference on Optics and Image Processing (ICOIP 2021), 119150C (15 September 2021); https://doi.org/10.1117/12.2605868

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