Print medium specification method and print medium specification system

A print medium specification method for specifying a type of a print medium, the method comprising:

• (a) acquiring first physical property information related to the print medium;
• (b) acquiring second physical property information different from the first physical property information related to the print medium;
• (c) acquiring discrimination information for discriminating the type of the print medium by inputting the first physical property information to a discrimination function configured as a learned machine learning model;
• and
• (d) specifying a type of the print medium using the discrimination information and the second physical property information not used for machine learning, wherein
• the discrimination information includes a first similarity for each type of the print medium,
• the specifying includes calculating a second similarity for each type of the print medium by using the second physical property information, and specifying a type of the print medium by using the first similarity and the second similarity,
• the discrimination function includes a vector neural network having a plurality of vector neuron layers, and is configured so that a plurality of types of the print medium are divided into a plurality of classes, and
• the first similarity is a similarity for each class calculated between a feature spectrum obtained from an output of a specific layer of the machine learning model and a known feature spectrum group created in advance in association with the plurality of classes.

A print medium specification system for executes medium specification process for specifying a type of a print medium comprising:

• a memory configured to store a discrimination function configured as a learned machine learning model and
• a processor configured to execute the medium specification process by using the discrimination function, wherein
• the processor is configured to perform the following process:
• (a) process for acquiring first physical property information related to the print medium,
• (b) process for acquiring second physical property information different from the first physical property information related to the print medium, the second physical property information having a value for at least one type of information that is not included within the first physical property information, or the first physical property information having a value for at least one type of information that is not included within the second physical property information,
• (c) process for inputting the first physical property information to the discrimination function to acquire discrimination information for discriminating a type of the print medium,
• (d) process for specifying the type of the print medium by using the discrimination information and the second physical property information, which is not used in machine learning.