Media selection using a neural network

Abstract

A method and system for automatically classifying a print medium entering a printing device as being a print medium type having known properties relevant to print operations. A detection system captures data indicative of optical characteristics of the incoming medium. The data is spectrally examined to derive frequency-related information. At least one neural network utilizes the frequency-related information to determine a medium type. In one embodiment, a major category network determines the medium type as one of five major medium types. Subsequently, the medium is subjected to analysis with a specific neural network for differentiating the identified major media type into narrower categories. Each neural network comprises a layer of adaptive decision-making nodes. Each node includes an activation function for processing the sum of multiple weighted inputs for generating an output. The output is directed to the output level that is at least partially utilized for a medium type determination.

Dependencies are inferred from the claim text.