Abstract
Cloud print platform allows Internet-enabled device to print documents, photos by rendering any document into a printable format and then sends to the printer for print. Document gets converted into a printable format, the most common format being PCL3GUI (Printer Command Language) in printers. Cloud print platform converts the document into a printable format, the most common format being PCL3GUI (Printer Command Language). Most of the printers accept PCL3GUI commands to process a print job. Rendering features such as “Margin,” “media Size,” “Media,” “Resolution,” “Page Orientation,” “Start Raster”, “End Raster”, “Offset” is hard to validate as it consumes more time to ensure that all features related to print job and value-added content are working correctly as per designed. Manual dependency is required to check the print fidelity and to make a judgment whether the printed output is correct by visually comparing the output on paper to the document within the print application or comparing to a printed Baseline file. This disclosure discusses a machine learning approach to predict the print fidelity of a document.
Creative Commons License
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Recommended Citation
INC, HP, "PRINT FIDELITY PREDICTION USING MACHINE LEARNING", Technical Disclosure Commons, (April 26, 2022)
https://www.tdcommons.org/dpubs_series/5095