Design of QR Code Steganography Model for Fully Automatic Labeling Devices
QR codes are matrix-style barcodes that allow for rapid scanning and decoding,with the capability to store a high den-sity of information.However,QR code information is vulnerable to unauthorized access and tampering.Therefore,this research pres-ents a QR code steganography model tailored for fully automatic labeling devices,using secret information embedding and extraction algorithms to protect information.The research results show that the proposed steganography model enhances information embedding capacity by 50.4%to 164.4%,achieving an absolute embedding rate of over 30%.The PSNR values average 53.4dB,and the SSIM values average 0.937.In practical applications at a tobacco company,the incorporation of the steganography model leads to a 10.4%increase in data accuracy,a 31.5%increase in customer satisfaction,while reducing counterfeit product prevalence to 9.4%and in-creasing counterfeit product detection rates to 90.4%.The established QR code steganography model holds significant importance in safeguarding the security and integrity of QR code information and can foster the development of information encryption technologies.