AUTHENTICATING PHYSICAL OBJECTS USING MACHINE LEARNING FROM MICROSCOPIC VARIATIONS

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.

主权项

1. A method for classifying a microscopic image, comprising:
receiving a training dataset comprising at least one microscopic image extracted from a physical object and an associated class definition for the at least one microscopic image that is based on a product specification corresponding to the physical object; training one or more machine learning classifiers to construct a model to classify the at least one microscopic image into one or more classes based on the training dataset; receiving the at least one microscopic image as test input to the at least one machine learning classifiers to classify the at least one microscopic image using the constructed model into one or more classes based on the product specification, wherein the product specification includes a name of a brand, a product line, or other details on a label of the physical object.