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| Nondestructive Detection of Automobile Lampshades by Infrared Spectrum Data Fusion Combined with Chemometrics |
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| DOI： |
| KeyWord:automobile lampshade Fourier transform infrared spectroscopy spectral fusion K-nearest neighbor algorithm Fisher discriminant analysis |
| Author | Institution |
| WEI Chen-jie，WANG Ji-fen，ZENG Xiao-hu |
1. School of Criminal Investigation， People's Public Security University of China， Beijing ， China; 2. Jiuquan Satellite Launch Center， Jiuquan ， China |
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| Abstract: |
| The car lampshade fragment is the physical evidence which often appears at the traffic accident case scene. In order to realize the accurate examination on the physical evidence of automobile lampshade， a spectral fusion technique combining the original spectrum and derivative spectrum was proposed. A total of 44 lampshades of different categories and brands were collected. The samples were analyzed by Fourier transform infrared spectroscopy （FTIR） to extract the original spectral data and first-order derivative spectral data， which were used to construct the classification model by combining with chemometrics. In Fisher discriminant analysis model， the classification accuracies for single original spectral data and first-derivative spectral data were 86.40% and 84.10%， respectively， while the classification accuracy for fused spectral data reached up to 93.20%， which was significantly higher than those for original spectral data and first-derivative spectral data. After the model optimization of principal component analysis， the classification accuracy for fusion spectrum reached up to 97.70%. In addition， when further classifying the lamp shade brands， the classification accuracy reached to 100.00%. The result of the experiment was ideal. However， in the K-nearest neighbor algorithm model， the classification accuracy was low due to the influence of uneven samples. Results showed that the spectral fusion technique based on the original spectrum and derivative spectrum could realize the accurate classification of automobile lampshade samples， which could provide a reference for the application of spectral fusion technique in the field of public security. |
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