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When using a printer, one of the most frequent operations is to load media onto which the printing will


This operation not only consist in physically loading and placing the media in the paper path for the

printer to feed the media, but also consists in providing some media identification to the printer which

then will be used to select the proper parameters for optimal printing.

Making a mistake in the identification of the media, something with can occur for new operators or

these who do not often use the printer, will lead to a non‐optimal printing image quality.

To avoid this, the media loading can be automated to recognize the media correctly using a suitably

trained machine learning (ML) algorithm which examines scanned images of the media and then output

the correct media category.

The optimal features, along with the fine‐tuned classification approach proposed herein, delivers better

printer automation, and provides an enhanced experience to the end‐user.

Creative Commons License

Creative Commons License
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