Abstract
Printers are used to print content for purposes of sharing, and therefore, it becomes necessary to
control and monitor the content that is being printed. At home scenario, it could be that the parents
would like to control what their kids print, whereas at enterprises, it becomes necessary to ensure
forbidden content is not allowed to print. The current document outlines a way by which this can be
achieved. Machine learning is used to identify patterns within the content that are not allowed, and
thereby avoid them getting printed. The approach uses a content packetizer to packetize the stream,
and then a classifier to decide if the content should be printed or not.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Recommended Citation
INC, HP, "SYSTEM AND METHOD FOR REMOVING UNWANTED CONTENT FROM GETTING PRINTED USING MACHINE LEARNNG TECHNIQUES", Technical Disclosure Commons, (August 20, 2018)
https://www.tdcommons.org/dpubs_series/1425