Microstructure overlapping image application with optical decryption
| Autor: | Yuh-Shyan Hwang, Kuo-Yu Tsai, Yu Ling Wang, Chi Hung Wang, Hsi Chun Wang |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Image quality Color image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Encryption 01 natural sciences Atomic and Molecular Physics and Optics Edge detection Electronic Optical and Magnetic Materials Image (mathematics) 010309 optics Lenticular lens Optics Distortion 0103 physical sciences Code (cryptography) Computer vision Computer Vision and Pattern Recognition Artificial intelligence business |
| Zdroj: | Journal of the Optical Society of America. A, Optics, image science, and vision. 37(8) |
| ISSN: | 1520-8532 |
| Popis: | Currently, valuable tickets are scanned and verified by embedding quick response (QR) codes, but few studies have embedded encrypted information into QR codes to prevent counterfeiting. In the existing literature on color image-based QR codes, there is room for improvement in image quality and anti-counterfeiting functions. We propose an optically decrypted microstructure overlapping image technology, hiding the information points of two-dimensional barcodes on the image reservation area in the ticket, and using the optical principle to use the lenticular lens as a decryption component, to make the image produce continuous dynamic effects and increase the difficulty of forgery. In addition, the distribution of embedded parameters and differences will also affect the distortion of hidden information, which may cause the QR code to fail to read, so the median edge detection predictor is proposed for distortion control comparison. The experimental results prove that our method provides low distortion of information-hiding technology. |
| Databáze: | OpenAIRE |
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