Microstructure overlapping image application with optical decryption

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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1361-1368
Number of pages8
JournalJournal of the Optical Society of America B: Optical Physics
Volume37
Issue number8
DOIs
Publication statusPublished - 2020 Aug 1

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Atomic and Molecular Physics, and Optics

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