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Authenticity of objects using machine learning from microscopic differences
Authenticity of objects using machine learning from microscopic differences
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机译:利用机器学习从微观差异中获取物体的真实性
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摘要
A method for classifying a microscopic image includes receiving a training dataset (306) including at least one microscopic image (305) from a physical object (303) and an associated class definition (304) for the image that is based on a product specification. Machine learning classifiers are trained to classify the image into classes (308). The microscopic image (305) is used as a test input for the classifiers to classify the image into one or more classes based on the product specification. The product specification includes a name of a brand, a product line, or other details on a label of the physical object.
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