Skip to main content
padlock icon - secure page this page is secure

Non-Destructive Brand Identification of Car Wax Using Visible and Near-Infrared Spectroscopy

Buy Article:

$28.00 + tax (Refund Policy)

Visible and near-infrared (Vis-NIR) spectroscopy was applied to identify brands of car wax. A total of 104 samples were obtained for the analysis, in which 40 samples (calibration set) were used for model calibration, and the remaining 64 samples (prediction set) were used to validate the calibrated model independently. Linear discriminant analysis (LDA) and least square-support vector machine (LS-SVM) were respectively used to establish identification models for car wax with five brands based on their Vis-NIR spectra. Correct rates for prediction sample set were 84% and 97% for LDA and LS-SVM models, respectively. Spectral variable selection was further conducted by successive projections algorithm, (SPA), resulting in seven feature variables (351, 365, 401, 441, 605, 926, and 980 nm) selected from full range spectra that had 751 variables. The new LS-SVM model established using the feature variables selected by SPA also had the correct rate of 97%, showing that the selected variables had the most important information for brand identification, while other variables with no useful information were eliminated efficiently. The use of SPA and LS-SVM could not only obtain a high correct identification rate, but also simplify the model calibration and calculation. SPA-LS-SVM model could extract the useful information from the Vis-NIR spectra of car wax rapidly and accurately for the non-destructive brand identification of car wax.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Car wax; Vis-NIR spectroscopy

Document Type: Research Article

Publication date: February 15, 2014

More about this publication?
  • Spectroscopy and Spectral Analysis, founded in 1981, is sponsored by the Chinese Central Iron & Steel Research Institute. "Spectroscopy and Spectral Analysis" has been indexed in SCI(1999), Ei(1992), MEDLINE(1999), and AJ (1999). "Spectroscopy and Spectral Analysis" publishes original contributions on various fields in Spectroscopy, including research results on laser spectroscopy, IR, Ramn, UV/Vis, Optical Emission, Absorption and Fluorescence spectroscopy, X-ray Fluorescence, and Spectrochemical Analysis, as well as Reseach paper, Research notes, Experimental Technique and Instrument, Review and Progress on the latest development of spectroscopy and spectrochemical anlysis, etc. "Spectroscopy and Spectral Analysis" is published monthly by Peking University Press with book sizes of large 16-mo format , and 292 pages per issue.
  • Editorial Board
  • Submit a Paper
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more