This application claims priority to Chinese Patent Application No. 201910991205.3 filed Oct. 18, 2019, the contents of which are incorporated herein by reference.
The present invention belongs to the field of information identification, and particularly relates to a method for anti-counterfeit inspection of a QR code of an agricultural product based on a watermark library.
A digital watermarking technology is to seek an optimal design that can meet constraints of robustness, imperceptibility, safety and reliability through reasonable optimization of several technical links such as information embedding location selection, analysis of a watermark carrier medium and design of an embedding mode. At present, the most widely used QR code anti-counterfeiting method is to form a corresponding traceability code through certain coding rules. The traceability code is similar to an ID code of a product. Each product has its own unique traceability code, and the design of the traceability code is uniformly coded according to certain rules. This unique code corresponds to a QR code of a product package. Therefore, the QR codes of all products are unique, and QR code anti-counterfeiting is implemented by the combination of a traceability code and product information. However, the combination of a unique identification traceability code and product information for QR code anti-counterfeiting cannot meet the requirements of QR code anti-counterfeiting, because the traceability code itself is open although unique, and there are cases where the traceability code is cracked. Besides, a QR code of a product can be forged by directly copying the QR code.
The present invention provides a method for anti-counterfeit inspection of a QR code of an agricultural product based on a watermark library. The image watermark library is designed, so that the embedding of a watermark is no longer single. Even if an attacker cracks one of barcodes, the influence on a whole QR code watermarking system is not large, and a watermark extraction algorithm cannot work without separating from an image watermark feature library, thus further increasing the reliability of the system.
In order to achieve the forgoing objective, the technical solution adopted by the present invention is as follows: a method for anti-counterfeit inspection of a QR code of an agricultural product based on a watermark library, including step 1. establishing a watermark-containing QR code library; step 2. tracing a QR code watermark image; and step 3. verifying the QR code watermark image, where step 1 specifically includes: generating Watermark-containing QR codes by a QR code generation module and a watermark library, and constructing the watermark-containing QR codes as the watermark-containing QR code library, where the watermark-containing QR code library is used to verify the QR code watermark image, and the QR code watermark image is obtained by tracing the watermark-containing QR codes.
Further, step 2 specifically includes: identifying, by a tracing module through a universal identifier, the watermark-containing QR codes to obtain product information, and extracting, by an anti-counterfeiting module, the watermarks in the watermark-containing QR codes and comparing the extracted watermarks with data in the watermark-containing QR library for verification.
Further, the anti-counterfeiting module extracts the watermarks in the watermark-containing QR codes through a tracing webpage or a mobile phone APP.
The present invention has the following technical effects: the core foundation of an agricultural product traceability QR code anti-counterfeiting system is a QR code watermark embedding and extracting algorithm constructed based on an image watermark library; an image watermark is randomly selected in the watermark library to be embedded in a currently generated QR code, and a QR code plain code and a watermark number are stored in a QR code library; the QR code with the embedded watermark and production information written in plain text form can be read by an open standard reader, while watermark information in ciphertext form can only be extracted and identified through webpage tracing, thus meeting the dual requirements for traceability and identification of authenticity of QR code labels. Traceability QR codes are generated in a mode of one code corresponding to one product, and the verification times can be dynamically set. If the verification times are exceeded, reminding information on possible imitation and the verification times of the product is returned, thus ensuring the anti-counterfeiting property of the existing traceability QR codes and the safety of the system.
Referring to
Preferably, step 2 specifically includes: identifying, by a tracing module through a universal identifier, the watermark-containing QR codes to obtain product information, and extracting, by an anti-counterfeiting module, the watermarks in the watermark-containing QR codes and comparing the extracted watermarks with data in the watermark-containing QR library for verification. In the tracing, the main purpose of the watermark of the QR code is to resist “pseudo authentication” attacks. The main purpose of this attack method is not to remove the watermark information, but to tamper with digital information of a carrier immediately, so that the system can still detect watermark information, thus confusing the anti-counterfeiting system and enabling the tampered digital information to pass the authentication. The system uses semi-fragile watermarking based on wavelet transform to attack the “pseudo-authentication” while protecting the process of adding and extracting the watermark. In order to improve the identifiability of the embedded watermark QR code, the system chooses an original QR code image with an appropriate size and a reasonable error correction rate as a watermark carrier.
Preferably, the anti-counterfeiting module extracts the watermarks in the watermark-containing QR codes through a tracing webpage or a mobile phone APP.
Number | Date | Country | Kind |
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201910991205.3 | Oct 2019 | CN | national |
Number | Name | Date | Kind |
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9760818 | Asthana | Sep 2017 | B2 |
20120272279 | Lim | Oct 2012 | A1 |
Number | Date | Country |
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107194449 | Sep 2017 | CN |
Number | Date | Country | |
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20210117983 A1 | Apr 2021 | US |