TY  - JOUR
AB  - 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.
VL  - 31
IS  - 2
SN  - 0260-2288
DO  - 10.1108/02602281111109998
UR  - https://doi.org/10.1108/02602281111109998
AU  - Sun Xiaogang
AU  - Zhang Liang
AU  - Chen Bin
PY  - 2011
Y1  - 2011/01/01
TI  - On‐line print‐defect detecting in an incremental subspace learning framework
T2  - Sensor Review
PB  - Emerald Group Publishing Limited
SP  - 138
EP  - 143
Y2  - 2024/09/23
ER  -