Research On The Method Of Visual QR Code Generation And Anti-Counterfeiting Techniques

With the continuous progress of the information age,QR code emerges as the times require due to its advantages of large information carrying capacity,numerous coding types,encryption,low cost and easy production.It gradually permeates people's basic necessities of life.However,the traditional black-and-white QR code gradually exposes its own shortcomings:On the one hand,the QR code is a kind of rectangular code composed of black and white modules,the appearance can not meet the requirements of people's visual interaction,so it is urgent to improve its art form;On the other hand,the traditional QR code can not read the stored information in advance,which is easy to cause false scanning.Therefore,how to optimize the visual experience of traditional QR code and improve the ability of read-ahead and anti-counterfeiting of QR code has gradually become a hot research object in this field.After reading and analyzing a large number of relevant literature,it is found that most of the existing visual QR code optimization algorithms directly select the whole background image for full image fusion.But some black-and-white modules carrying information in the QR code are not allowed to change,if the background image carries more information,the fused QR code will appear disorderly,which will lose the significance of visual optimization.In addition,the whole image fusion retains a lot of pixel information of the background image,which leads to the poor effect that the key information in the background image is not prominent and the vision can not distinguish the primary and secondary.In view of the above problems,the main research contents of this paper are as follows:(1)The generation principle and decoding process of the traditional QR code are analyzed in detail,according to the error correction performance of the RS code,the padding code and the error correction code's generation principle,each QR code's variable area can be obtained.These provides a theoretical basis for the visual optimization of the QR code.(2)A visual QR code generation method based on Gestalt vision principle is proposed.Firstly,the salient region is extracted according to the contrast features of the fused image,then merge this salient area with the original QR code.The visual QR code generated by this method not only highlights the salient areas,but also overcomes the visual information redundancy of full image fusion.(3)For the problem that the QR code is easy to be forged,a QR code anti-counterfeiting method based on LSB steganography(least significant bit steganography)is proposed.Using the uncompressed bitmap as the watermark embedded in the visual QR code to distinguish it from the pirated visual QR code.(4)The visual QR code and anti-counterfeiting visual QR code generated in this paper are tested by noise attack test,random smear test,and decoding rate test on different types of mobile phones.Furthermore,through subjective evaluation and PSNR objective evaluation index,the visual QR code generated by LC and FT salient region extraction algorithm is compared with the visual QR code generated in this paper.The results show that the visual QR code generated in this paper can be successfully decoded on different mobile phones,and has certain anti-attack ability and good visual effect.