• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1630004 (2021)
Jinkun Liu1, Chunyu Li1、*, Hang Lü1, Weigang Kong2, Wei Sun1, and Gefei Zhang1
Author Affiliations
  • 1School of Investigation, People's Public Security University of China, Beijing 100038, China
  • 2Institute of Criminal Science and Technology, Zhengzhou Public Security Bureau, Zhengzhou, Henan 450000, China
  • show less
    DOI: 10.3788/LOP202158.1630004 Cite this Article Set citation alerts
    Jinkun Liu, Chunyu Li, Hang Lü, Weigang Kong, Wei Sun, Gefei Zhang. Classification and Recognition of Disposable Masks Based on Raman Spectroscopy and Machine Learning[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630004 Copy Citation Text show less
    References

    [1] Zhang H X, Cao H H, Zhang X et al. Near infrared quantitative analysis of fiber contents of polyamide/spandex knitted underwear fabric[J]. Knitting Industries, 82-85(2020).

    [2] Li H Y, Liu W, Cheng X Q et al. Identification of elastic fibers by infrared spectroscopy, Raman spectroscopy, and pyrolysis gas chromatography-mass spectrometry[J]. Textile Testing and Standard, 6, 13-16(2020).

    [3] Wei Z H, Li W X, Du Y J et al. Establishment and application of fabrics attenuated total reflection Fourier transform infrared spectroscopy spectrum library[J]. Journal of Textile Research, 40, 64-68(2019).

    [4] Jin X K, Tian W, Zhu W J et al. Qualitative identification of textile chemical composition based on hyperspectral imaging system[J]. Journal of Textile Research, 39, 50-57(2018).

    [5] Hu W, Ye S, Zhang Y J et al. Machine learning protocol for surface-enhanced Raman spectroscopy[J]. The Journal of Physical Chemistry Letters, 10, 6026-6031(2019).

    [6] Li G W, Gao X H, Xiao N W et al. Estimation of soil organic matter content based on characteristic variable selection and regression methods[J]. Acta Optica Sinica, 39, 0930002(2019).

    [7] Xu H D, Lin L L, Li Z et al. Nephrite origin identification based on Raman spectroscopy and pattern recognition algorithms[J]. Acta Optica Sinica, 39, 0330001(2019).

    [8] Li C Y, Liu J K, Jiang H et al. Identification of X-ray fluorescent spectral paper ashes based on support vector machine algorithm[J]. Laser & Optoelectronics Progress, 58, 0330006(2021).

    [9] Sampaio P S, Castanho A, Almeida A S et al. Identification of rice flour types with near-infrared spectroscopy associated with PLS-DA and SVM methods[J]. European Food Research and Technology, 246, 527-537(2020).

    [10] Hu X, Wu R M, Zhu X Y et al. Fast detection of chlorpyrifos residues in tea via surface-enhanced Raman spectroscopy combined with two-dimensional correlation spectroscopy[J]. Acta Optica Sinica, 39, 0730001(2019).

    [11] He X L, Wang J F, He Y et al. Infrared spectroscopy identification of plastic steel windows based on Bayes discrimination analysis[J]. Laser Journal, 40, 33-37(2019).

    [12] Wen C P, Bai Y Y, Zeng J J et al. Bayes discriminant analysis method of natural grassland classification[J]. Chinese Journal of Grassland, 38, 50-55(2016).

    [13] Zhou S, Shen C Y, Zhang L et al. Dual-optimized adaptive Kalman filtering algorithm based on BP neural network and variance compensation for laser absorption spectroscopy[J]. Optics Express, 27, 31874-31888(2019).

    [14] Ershat A, Baidengsha M, Mamat S et al. Combined estimation of chlorophyll content in cotton canopy based on hyperspectral parameters and back propagation neural network[J]. Acta Optica Sinica, 39, 0930003(2019).

    [15] Song H S, Ma L Z, Wang Y F et al. Recognition of formaldehyde, methanol based on PCA-BP neural network[J]. Laser & Optoelectronics Progress, 57, 071201(2020).

    [16] Cai Y, Su M X, Cai X S. Method for mixed-particle classification based on convolutional neural network[J]. Acta Optica Sinica, 39, 0712002(2019).

    [17] Liu J X, Du B, Deng Y Q et al. Terahertz-spectral identification of organic compounds based on differential PCA-SVM method[J]. Chinese Journal of Lasers, 46, 0614039(2019).

    Jinkun Liu, Chunyu Li, Hang Lü, Weigang Kong, Wei Sun, Gefei Zhang. Classification and Recognition of Disposable Masks Based on Raman Spectroscopy and Machine Learning[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630004
    Download Citation