Wenhao Lai, Mengran Zhou, Ya Wang, Feng Hu, Datong Li, Shun Zhao. Application of Counterfeit Liquor Recognition Based on Deep Learning and Laser Induced Fluorescence[J]. Laser & Optoelectronics Progress, 2018, 55(4): 043001
- Laser & Optoelectronics Progress
- Vol. 55, Issue 4, 043001 (2018)
Fig. 1. LIF system structure diagram
Fig. 2. Fluorescence spectra of four samples
Fig. 3. (a) Fluorescence spectra of samples with same brand and different degrees; (b) local diagram of the first wave peak; (c) local diagram of the second wave peak; (d) local fluorescence spectra in band of 465-500 nm
Fig. 4. (a) Fluorescence spectra of samples with different brands and same degree; (b) local diagram of the first wave peak; (c) local diagram of the second wave peak; (d) local fluorescence spectra in band of 465-500 nm
Fig. 5. (a) Fluorescence spectra of samples with different brands and same degree of 42; (b) local diagram of the first wave peak; (c) local diagram of the second wave peak; (d) local fluorescence spectra in band of 465-500 nm
Fig. 6. Spectra of the input model. (a) Sample A; (b) sample B; (c) sample C; (d) sample D
Fig. 7. Deep learning model flow chart
Fig. 8. Deep learning model training process curves
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Table 1. Classification test result of liquor spectrum
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Table 2. Results of classification test of liquor spectrum
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