Research On Optical Anti-counterfeiting Technology Based On Two-dimensional Barcode

With the rapid development of high technology,people's life is more and more convenient,but also brings the hidden danger of information security to individuals and society.The use of high-tech means to forge important documents such as identity cards,bank cards and famous brand trademarks has caused huge losses to personal property,commerce and the country.Therefore,the security and reliability of anti-counterfeiting technology is an important research topic in the field of information security.The phase optical anti-counterfeiting mask is a transparent diffractive optical element whose information cannot be captured by conventional intensity detectors and has good anti-counterfeiting properties.In recent years,the method based on random phase encoding has been used to encode anti-counterfeiting images into high-order phase information,and the use of binary optical technology to form an optical phase anti-counterfeiting mask to achieve information anti-counterfeiting technology has promoted the development of anti-counterfeiting technology,but high-order phase The anti-counterfeiting mask is limited by the process,which makes the technology difficult to develop in practical applications.This article studies the design method of optical anti-counterfeiting mask deeply,adopts the phase recovery algorithm based on deep learning to improve the quality of the recovered image of quantized phase anti-counterfeiting mask,and introduces a two-dimensional barcode encoding method to encode anti-counterfeiting information into a two-dimensional barcode,and then The two-dimensional bar code is encoded into a phase anti-counterfeiting mask by using random phase encoding technology,and the low-level quantization can realize the noise-free recovery of anti-counterfeiting information,which solves the problem of optical anti-counterfeiting mask manufacturing process.At the same time,a chaotic system is introduced,and the anti-counterfeit mask is encrypted using a chaotic encryption algorithm,which further improves the security of the system.The research content of this article mainly includes the following aspects:(1)This paper briefly introduces the theoretical basis of the design and manufacture of the phase optical anti-counterfeiting mask,analyzes the iterative restoration algorithm of the classical phase optical anti-counterfeiting mask by computer simulation,compares the phase anti-counterfeiting mask produced by different algorithms and the quality of the restored image,which provides the basis for improving the algorithm.(2)Introducing the deep learning-based phase recovery algorithm into the optical anti-counterfeiting mask design,verified by computer simulation,the improved phase anti-counterfeiting mask design method improves the image recovery quality.We focus on comparing this method to the gray image and binary image recovery Effect,the introduction of two-dimensional bar code technology into the anti-counterfeiting system,the realization of low-level quantization anti-counterfeiting mask can restore noise-free anti-counterfeiting information,and compares the anti-noise performance of QR code and BCH coded two-dimensional bar code The coded two-dimensional bar code is more resistant to speckle noise generated by optical anti-counterfeiting systems.(3)In order to further improve the anti-counterfeiting performance of the system,a chaotic key is introduced.Using the pseudo-randomness and initial value sensitivity of the chaos,the key stream is designed to encrypt the phase optical anti-counterfeiting mask,realizes "one-time-pad" in a certain sense.