Author： Sun Xiaogang Zhang Liang Chen Bin
Publisher： Emerald Group Publishing Ltd
ISSN： 0260-2288
Source： Sensor Review, Vol.31, Iss.2, 2011-03, pp. : 138-143
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Abstract
Purpose ‐ The purpose of this paper is to propose a novel on-line print-defect detecting approach. Design/methodology/approach ‐ The proposed method uses incremental principal component analysis (IPCA) to model a variety pattern with respect to the detected image itself. Findings ‐ The algorithm is constructed and deployed to a real-time detecting print-defect system, and the test results show that the system reduces false alarms dramatically. Originality/value ‐ The paper describes groundbreaking work which, for the first time in the printing industry, uses IPCA in relation to print-defect detecting.
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