Offline commodity authentication method based on width learning and wide-angle microscopic images

Abstract

The invention discloses an offline commodity authentication method based on width learning and wide-angle microscopic images and belongs to the technical field of commodity authentication. The methoddisclosed in the invention comprises the following steps: wide-angle microscopic images of real and fake commodity samples are collected, static features of the wide-angle microscopic images are extracted to construct a tagged feature vector set, and the feature vector set is divided into a training set and a test set; the feature vector set is used for pre-training so as to build a width learningmodel; finally, the breadth learning model is transplanted to a mobile device; wide-angle microscopic images of commodities to be identified are collected, feature vectors of the wide-angle microscopic images are extracted, the feature vectors are input into a width learning model so as to perform true and false identification of the commodities; if the authentication of the commodities is incorrect, the feature vectors of misjudged true and false commodities are obtained; the acquired feature vectors are used to update a width learning model via an incremental learning method. The method canbe employed on the mobile device so as to realize offline detection, high accuracy can be achieved, and self-adaptive learning ability can be realized.

Description

technical field [0001] The invention belongs to the technical field of counterfeit identification of commodities, and more specifically relates to an off-line counterfeit identification method of commodities based on width learning and wide-angle microscopic images. Background technique [0002] Counterfeiting of physical goods is a worldwide problem that affects almost all high value goods or products. According to relevant business reports, counterfeit and shoddy products account for nearly 7% of global trade transactions. Moreover, the profits earned by counterfeiters in various product markets have become an important source of funding for some illegal and potentially harmful activities around the world. [0003] The fight against counterfeit and shoddy products is never-ending. Many public or non-public techniques have been proposed to solve the problem of forgery detection and authentication. Published technologies such as holograms, barcodes, and RFID provide integ...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for off-line counterfeiting of commodities based on width learning and wide-angle microscopic images. Learn the model and transplant it to the mobile device to realize the offline authenticity identification of the product, and at the same time collect the characteristics of the wrong product for adaptive learning, so as to solve the existing technology that requires a lot of computing resources and network resources, and the model cannot be adaptively learned technical issues

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