A human skin diagnosis system using human skin reflective spectrum matching

2025 · doi:10.22541/au.174275644.46670054/v1
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Abstract

Recently, the beauty market demands easier and more accurate skin diagnosis methods that can diagnose skin in a non-contact manner. In this study, we proposed a non-contact skin diagnosis method to evaluate personal skin information through mechanical matching of simulated optical skin reflection spectrum based on the Kubelka-Munk 2-layer model with actually measured skin reflection spectrum. For the validation of these skin information, correlation analysis between the spectrum matched skin information and the actually measured skin information was performed. Results confirmed that the spectrum matched skin information (melanin, hemoglobin, and dermis thickness) had a strong correlation with the actually measured skin information in terms of statistical significance.
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Abstract

Recently, the beauty market demands easier and more accurate skin diagnosis methods that can diagnose skin in a non-contact manner. In this study, we proposed a non-contact skin diagnosis method to evaluate personal skin information through mechanical matching of simulated optical skin reflection spectrum based on the Kubelka-Munk 2-layer model with actually measured skin reflection spectrum. For the validation of these skin information, correlation analysis between the spectrum matched skin information and the actually measured skin information was performed. Results confirmed that the spectrum matched skin information (melanin, hemoglobin, and dermis thickness) had a strong correlation with the actually measured skin information in terms of statistical significance. Supplementary Material File (a human skin diagnosis system 2nd revision.docx) - Download - 1.23 MB Information & Authors Information Version history Peer review timeline Published Journal of Biophotonics Version of Record21 May 2025Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection

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Authors Metrics & Citations Metrics Article Usage 290views 135downloads Citations Download citation Munsun Cho, Jiwon Shin, Minyoung Lee, et al. A human skin diagnosis system using human skin reflective spectrum matching. Authorea. 23 March 2025. DOI: https://doi.org/10.22541/au.174275644.46670054/v1 DOI: https://doi.org/10.22541/au.174275644.46670054/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

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last seen: 2026-05-20T01:45:00.602351+00:00