Method and system for executing discrimination process of printing medium using machine learning model
AssigneeSeiko Epson Corporation
InventorsTakahiro KAMADA, Ryoki WATANABE, Satoru ONO, Kenji MATSUZAKA
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Abstract
A method for executing a discrimination process of a printing medium includes a step (a) of preparing N machine learning models when N is an integer of 1 or more, a step (b) of acquiring target spectral data which is a spectral reflectance of a target printing medium, and a step (c) of discriminating a type of the target printing medium by executing a class classification process of the target spectral data using the N machine learning models.
Claims11
A method for executing a discrimination process of a printing medium using a machine learning model, the method comprising:
- a step (a) of preparing N machine learning models when N is an integer of 1 or more, in which each of the N machine learning models is configured to discriminate a type of the printing medium by classifying input spectral data, which is a spectral reflectance of the printing medium, into any one of a plurality of classes;
- a step (b) of acquiring target spectral data which is a spectral reflectance of a target printing medium;
- and
- a step (c) of discriminating a type of the target printing medium by executing a class classification process of the target spectral data using the N machine learning models.
A system for executing a discrimination process of a printing medium using a machine learning model, the system comprising:
- a memory that stores N machine learning models when N is an integer of 1 or more;
- and
- a processor that executes the discrimination process using the N machine learning models, wherein
- each of the N machine learning models is configured to discriminate a type of the printing medium by classifying input spectral data, which is a spectral reflectance of the printing medium, into any one of a plurality of classes, and
- the processor is configured to execute
- a first process of acquiring target spectral data of a target printing medium, and
- a second process of discriminating a type of the target printing medium by executing a class classification process of the target spectral data using the N machine learning models.
Dependencies are inferred from the claim text.