Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1812005(2024)
Research on the Retention Time of Sweat Latent Fingerprints on Glass by Hyperspectral Combination with Multiple Models
[1] He F X, Meng Q H, Tang L et al. Research progress in hyperspectral imaging technology for fruit quality detection[J]. Journal of Fruit Science, 38, 1590-1599(2021).
[10] Tian S S, Zhao Y B, You W et al. Research on estimation of fingerprint age based on fluorescent fingerprint[J]. Applied Laser, 43, 156-162(2023).
[15] Lu H T. Partial least squares regression models and algorithms research[D](2014).
[17] Sun X R, Zhou Z J, Liu C L et al. Fast detection of flour moisture through spectral data pretreatment and genetic algorithm-based wavelength selection[J]. Food Science, 38, 256-260(2017).
[21] Liu L, Huang D P, Tian J P et al. Prediction and visualization of reducing sugar content in Daqu based on hyperspectral imaging technology[J]. Food and Fermentation Industries, 48, 247-254(2022).
[28] Chu X L[M]. Chemometrics methods in modern spectral analysis, 259-269(2022).
[30] Wang L X. Preliminary study on determination of fingermark dating based on fingermark composition[D](2021).
Get Citation
Copy Citation Text
Pengyu Tang, Zhen Wang. Research on the Retention Time of Sweat Latent Fingerprints on Glass by Hyperspectral Combination with Multiple Models[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1812005
Category: Instrumentation, Measurement and Metrology
Received: Dec. 5, 2023
Accepted: Feb. 18, 2024
Published Online: Sep. 14, 2024
The Author Email: Zhen Wang (wangyuchena9@163.com)
CSTR:32186.14.LOP232622