30 November 2009 Near-infrared spectroscopy and pattern recognition techniques applied to the identification of Jinhua ham
Author Affiliations +
Abstract
Near-infrared (NIR) diffuse reflectance spectroscopy and pattern recognition techniques are applied to develop a fast identification method of Jinhua ham. The samples are collected from different manufactures and they are nineteen Jinhua ham samples and four Xuanwei ham samples. NIR spectra are pretreated with second derivative calculation and vector normalization. The pattern recognition techniques which are cluster analysis, conformity test and principal component analysis (PCA) are separately used to qualify Jinhua ham. The three methods can all distinguish Jinhua ham successfully. The result indicated that a 100 % recognition ration is achieved by the methods and the PCA method is the best one. Overall, NIR reflectance spectroscopy using pattern recognition is shown to have significant potential as a rapid and accurate method for identification of ham.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Honglian Li, Honglian Li, Zhilei Zhao, Zhilei Zhao, Yanping Pang, Yanping Pang, Yanfeng Wang, Yanfeng Wang, Xiaoting Li, Xiaoting Li, } "Near-infrared spectroscopy and pattern recognition techniques applied to the identification of Jinhua ham", Proc. SPIE 7506, 2009 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 750612 (30 November 2009); doi: 10.1117/12.843357; https://doi.org/10.1117/12.843357
PROCEEDINGS
8 PAGES


SHARE
Back to Top