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Proceedings Paper

High-speed document sensing and misprint detection in digital presses
Author(s): Guillaume Leseur; Nicolas Meunier; Georgios Georgiadis; Lily Huang; Jeffrey DiCarlo; Brian A. Wandell; Peter B. Catrysse
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Paper Abstract

We design and analyze a high-speed document sensing and misprint detection system for real-time monitoring of printed pages. We implemented and characterized a prototype system, comprising a solid-state line sensor and a high-quality imaging lens, that measures in real time the light reflected from a printed page. We use sensor simulation software and signal processing methods to create an expected sensor response given the page that is being printed. The measured response is compared with the predicted response based on a system simulation. A computational misprint detection system measures differences between the expected and measured responses, continuously evaluating the likelihood of a misprint. We describe several algorithms to identify rapidly any significant deviations between the expected and actual sensor response. The parameters of the system are determined by a cost-benefit analysis.

Paper Details

Date Published: 26 January 2010
PDF: 12 pages
Proc. SPIE 7536, Sensors, Cameras, and Systems for Industrial/Scientific Applications XI, 75360A (26 January 2010); doi: 10.1117/12.840325
Show Author Affiliations
Guillaume Leseur, Stanford Univ. (United States)
Nicolas Meunier, Stanford Univ. (United States)
Georgios Georgiadis, Stanford Univ. (United States)
Lily Huang, Stanford Univ. (United States)
Jeffrey DiCarlo, Hewlett-Packard Labs. (United States)
Brian A. Wandell, Stanford Univ. (United States)
Peter B. Catrysse, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 7536:
Sensors, Cameras, and Systems for Industrial/Scientific Applications XI
Erik Bodegom; Valérie Nguyen, Editor(s)

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