Microstructure overlapping image application with optical decryption

Chi Hung Wang*, Yuh Shyan Hwang, Hsi Chun Wang, Yu Ling Wang, Kuo Yu Tsai


研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)1361-1368
期刊Journal of the Optical Society of America B: Optical Physics
出版狀態已發佈 - 2020 8月 1

ASJC Scopus subject areas

  • 統計與非線性物理學
  • 原子與分子物理與光學


深入研究「Microstructure overlapping image application with optical decryption」主題。共同形成了獨特的指紋。