首页> 外国专利> SYSTEM AND METHOD FOR VERIFYING AUTHENTICITY OF AN ANTI-COUNTERFEITING ELEMENT, AND METHOD FOR BUILDING A MACHINE LEARNING MODEL USED TO VERIFY AUTHENTICITY OF AN ANTI-COUNTERFEITING ELEMENT

SYSTEM AND METHOD FOR VERIFYING AUTHENTICITY OF AN ANTI-COUNTERFEITING ELEMENT, AND METHOD FOR BUILDING A MACHINE LEARNING MODEL USED TO VERIFY AUTHENTICITY OF AN ANTI-COUNTERFEITING ELEMENT

机译:用于验证防伪元件的真实性的系统和方法,以及用于构建用于验证防伪元素真实性的机器学习模型的方法

摘要

A system (100) for verifying authenticity of an anti-counterfeiting element (4) includes a model building module (1) and a verifying module (21). The model building module (1) has a pre-processing sub-module (11) for receiving original images (10) of a same reference element and for making adjustments to the original images to form a plurality of true-element images. A training sub-module (12) trains a deep neural network based on the true-element images to build a machine learning model (3). The verifying module (21) obtains images of the anti-counterfeiting element (4), and inputs the images into the machine learning model (3) to determine whether the anti-counterfeiting element (4) is authentic or unauthentic.
机译:用于验证防伪元件(4)的真实性(4)的系统(100)包括模型构建模块(1)和验证模块(21)。 模型构建模块(1)具有预处理子模块(11),用于接收相同的参考元件的原始图像(10),并为原始图像进行调整以形成多个真元图像。 训练子模块(12)基于真实元素图像列举深神经网络以构建机器学习模型(3)。 验证模块(21)获得防伪元素(4)的图像,并将图像输入到机器学习模型(3)中,以确定防伪元素(4)是真实的还是未真实的。

著录项

  • 公开/公告号EP3961482A1

    专利类型

  • 公开/公告日2022-03-02

    原文格式PDF

  • 申请/专利权人 CHECK IT OUT CO. LTD.;

    申请/专利号EP20200193711

  • 发明设计人 CHEN YING-JEN;

    申请日2020-08-31

  • 分类号G06K9;G06K9/38;G06K9/62;G06N3/02;

  • 国家 EP

  • 入库时间 2022-08-24 23:41:19

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