Medium classification mechanism

A computer-readable medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to:

• receive optical density (OD) measurement data corresponding to application of a halftone pattern using ink on a print medium in a printing system;
• receive ink deposition measurement data corresponding to application of the halftone pattern using the ink in a printing system;
• determine a set of distribution function parameters based on the OD measurement data and the ink deposition measurement data;
• apply the set of distribution function parameters to machine learning logic trained to classify the print medium;
• and
• classify the print medium as a first of a plurality of print medium categories based on the machine learning logic.

A method comprising:

• receiving optical density (OD) measurement data corresponding to application of a halftone pattern using ink on a print medium in a printing system;
• receiving ink deposition measurement data corresponding to application of the halftone pattern using the ink in a printing system;
• determining a set of distribution function parameters based on the OD measurement data and the ink deposition measurement data;
• applying the set of distribution function parameters to machine learning logic trained to classify the print medium;
• and
• classifying the print medium as a first of a plurality of print medium categories based on the machine learning logic.