
Proceedings Paper
Autonomous detection of text fade point with color laser printersFormat | Member Price | Non-Member Price |
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Paper Abstract
Fading is one of the issues of most critical concern for print quality degradation with color laser electro-
photographic printers. Fading occurs when the cartridge is depleted. ISO/IEC 19798:2007(E) specifies a process
for determining the cartridge page yield for a given color electro-photographic printer model. It is based on
repeatedly printing a suite of test pages, followed by visual examination of the sequence of printed diagnostic
pages. But this method is a very costly process since it involves visual examination of a large number of pages.
And also the final decision is based on the visual examination of a specially designed diagnostic page, which is
different than typical office document pages, since it consists of color bars, and contains no text. In this paper,
we propose a new method to autonomously detect the text fading in prints from home or office color printers
using a typical office document page instead of a specially designed diagnostic page. In our method, we scan and
analyze the printed pages to predict where expert observers would judge fading to have occurred in the print
sequence. Our approach is based on a machine-learning framework in which features derived from image analysis
are mapped to a fade point prediction.
Paper Details
Date Published: 8 February 2015
PDF: 9 pages
Proc. SPIE 9396, Image Quality and System Performance XII, 93960G (8 February 2015); doi: 10.1117/12.2081238
Published in SPIE Proceedings Vol. 9396:
Image Quality and System Performance XII
Mohamed-Chaker Larabi; Sophie Triantaphillidou, Editor(s)
PDF: 9 pages
Proc. SPIE 9396, Image Quality and System Performance XII, 93960G (8 February 2015); doi: 10.1117/12.2081238
Show Author Affiliations
Published in SPIE Proceedings Vol. 9396:
Image Quality and System Performance XII
Mohamed-Chaker Larabi; Sophie Triantaphillidou, Editor(s)
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