| 光谱学与光谱分析 |
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| Pattern Recognition of Decorative Papers with Different Visual Characteristics Using Visible Spectroscopy Coupled with Principal Component Analysis(PCA) |
| ZHANG Mao-mao, YANG Zhong*, Lü Bin, LIU Ya-na, SUN Xue-dong |
| Research Institute of Wood Industry，Chinese Academy of Forestry, Beijing 100091, China |
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Abstract As one of the most important decorative materials for the modern household products, decorative papers impregnated with melamine not only have better decorative performance, but also could greatly improve the surface properties of materials. However, the appearance quality (such as color-difference evaluation and control) of decorative papers, as an important index for the surface quality of decorative paper, has been a puzzle for manufacturers and consumers. Nowadays, human eye is used to discriminate whether there exist color difference in the factory, which is not only of low efficiency but also prone to bring subjective error. Thus, it is of great significance to find an effective method in order to realize the fast recognition and classification of the decorative papers. In the present study, the visible spectroscopy coupled with principal component analysis (PCA) was used for the pattern recognition of decorative papers with different visual characteristics to investigate the feasibility of visible spectroscopy to rapidly recognize the types of decorative papers. The results showed that the correlation between visible spectroscopy and visual characteristics (L*，a* and b*) was significant, and the correlation coefficients were up to 0.85 and some was even more than 0.99, which might suggest that the visible spectroscopy reflected some information about visual characteristics on the surface of decorative papers. When using the visible spectroscopy coupled with PCA to recognize the types of decorative papers, the accuracy reached 94%～100%, which might suggest that the visible spectroscopy was a very potential new method for the rapid, objective and accurate recognition of decorative papers with different visual characteristics.
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Received: 2013-09-23
Accepted: 2013-12-18
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Corresponding Authors:
YANG Zhong
E-mail: zyang@caf.ac.cn
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