Laser & Optoelectronics Progress, Volume. 55, Issue 4, 043001(2018)
Application of Counterfeit Liquor Recognition Based on Deep Learning and Laser Induced Fluorescence
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
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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
Category: Spectroscopy
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Published Online: Sep. 11, 2018
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