Anti-counterfeiting label verification method, device, equipment and medium based on deep learning
An anti-counterfeiting label and deep learning technology, applied in the field of anti-counterfeiting label verification based on deep learning, can solve the problems of high identification cost, cumbersome identification of anti-counterfeiting labels, and high cost of anti-counterfeiting labels, and achieve the effect of improving the efficiency of verification.
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Embodiment 1
[0041] This embodiment provides a deep learning-based anti-counterfeiting label verification method, which aims to use the training set to train the 3D convolutional neural network, and use the 3D convolutional neural network to judge the authenticity of the anti-counterfeiting label, and at the same time realize anti-counterfeiting Compared with the traditional feature matching process, the static feature matching and dynamic feature matching of the label reduce the time for processing the anti-counterfeiting label image, thereby increasing the matching efficiency.
[0042] Based on the above principles, such as figure 1 Shown, a kind of anti-counterfeiting label verification method based on deep learning, it comprises the following steps:
[0043] Obtaining an anti-counterfeiting label image and a template image, and preprocessing the anti-counterfeiting label image and the template image;
[0044] Using the preprocessed anti-counterfeiting label image and the template ima...
Embodiment 2
[0100] This embodiment discloses a device corresponding to the anti-counterfeiting label verification method based on deep learning corresponding to the above embodiment, which is the virtual device structure of the above embodiment, please refer to figure 2 As shown, the anti-counterfeit label verification device based on deep learning includes:
[0101] An image preprocessing module 210, configured to obtain an anti-counterfeit label image and a template image, and preprocess the anti-counterfeit label image and the template image;
[0102] The input set production module 220 is used to use the preprocessed image of the anti-counterfeit label and the template image as an input set;
[0103] A deep learning module 230, configured to input the input set into a 3D convolutional neural network to obtain an output result of the 3D convolutional neural network;
[0104] A counterfeit verification module 240, configured to judge whether the anti-counterfeit label image matches the ...
Embodiment 3
[0112] image 3 A schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention, such as image 3 As shown, the electronic device includes a processor 310, a memory 320, an input device 330, and an output device 340; the number of processors 310 in a computer device may be one or more, image 3 Take a processor 310 as an example; the processor 310, memory 320, input device 330 and output device 340 in the electronic device can be connected by bus or other methods, image 3 Take connection via bus as an example.
[0113] The memory 320, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as the program instructions / modules corresponding to the deep learning-based anti-counterfeiting label verification method in the embodiment of the present invention (for example, based on Image preprocessing module 210, input set production module 220, deep learning module 230 a...
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