Wei Hou, Jifen Wang, Yiran Liu. Spectral Pattern Recognition and Traceability Analysis of Human Fingernail Based on Machine Learning[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1830002
- Laser & Optoelectronics Progress
- Vol. 59, Issue 18, 1830002 (2022)
Fig. 1. Infrared spectra of fingernail samples. (a) Infrared spectra of different sampling sites for the same fingernail sample; (b) infrared spectra of ten fingernails from the same person; (c) infrared spectra of fingernail samples from different people
Fig. 2. Variance contribution rate depending on number of principal components and factor components. (a) Principal components; (b) factor components
Fig. 3. Classification accuracy of MLP and RBF models based on PCA and FA dimensionality reduction. (a) PCA-MLP; (b) FA-MLP; (c) PCA-RBF; (d) FA-RBF
Fig. 4. Spatial classification details of fingernail samples based on SVM model
Fig. 5. Classification accuracy of SVM model based on different principal components
Fig. 6. Spatial classification details of fingernail samples from five provinces of north China
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Table 1. Spectral peaks and their modes of vibration
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Table 2. Classification accuracy of decision tree model based on different algorithms
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Table 3. Classification accuracy of support vector machine model based on different kernel functions
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Table 4. Classification results of unknown samples by MLP and SVM models
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