Evidence map›Paper›PMID 40006506›Full record

ArticleSensors (Basel, Switzerland)2025

A Quantitative Analysis Study on the Effects of Moisture and Light Source on FTIR Fingerprint Image Quality.

Manjae Shin, Seungbong Lee, Seungbin Baek, Sunghoon Lee, Sungmin Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Manjae ShinDepartment of Biomedical Engineering, Dongguk University Biomedical Campus, 32, Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Republic of Korea.ORCID 0000-0003-2156-3905
Seungbong LeeDepartment of Biomedical Engineering, Dongguk University Biomedical Campus, 32, Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Republic of Korea.ORCID 0000-0002-3617-0525
Seungbin BaekDepartment of Medical Device Business, Dongguk University, 30, Pildong-ro 1-gill, Jung-gu, Seoul 04620, Republic of Korea.
Sunghoon LeeDepartment of Medical Device Business, Dongguk University, 30, Pildong-ro 1-gill, Jung-gu, Seoul 04620, Republic of Korea.
Sungmin KimDepartment of Biomedical Engineering, Dongguk University Biomedical Campus, 32, Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Republic of Korea.

Funding

Ministry of Food and Drug Safety RS-2024-00331775Ministry of Food and Drug Safety of South Korea in 2025 22183MFDS367
6 · The paper itself

Abstract

The frustrated total internal reflection (FTIR) optical fingerprint scanning method is widely used due to its cost-effectiveness. However, fingerprint image quality is highly dependent on fingertip surface conditions, with moisture generally considered a degrading factor. Interestingly, a prior study reported that excessive moisture may improve image quality, though their findings were based on qualitative observations, necessitating further quantitative analysis. Additionally, since the FTIR method relies on optical principles, image quality is also influenced by the wavelength of the light source. In this study, we conducted a preliminary clinical experiment to quantitatively analyze the impact of moisture levels on fingertips (wet, dry, and control) and light wavelengths (red, green, and blue) on FTIR fingerprint image quality. A total of 20 male and female participants with no physical impairments were involved. The results suggest that FTIR fingerprint image quality may improve under wet conditions and when illuminated with green and blue light sources compared to dry conditions and red light. Statistical evidence supports this consistent trend. However, given the limited sample size, the statistical validity and generalizability of these findings should be interpreted with caution. These insights provide a basis for optimizing fingerprint imaging conditions, potentially enhancing the reliability and accuracy of automatic fingerprint identification systems (AFIS) by reducing variations in individual fingerprint quality.

Indexed as

DermatoglyphicsWaterAdultFemaleFingersHumansImage Processing, Computer-AssistedLightMaleSpectroscopy, Fourier Transform InfraredWaterbiometricclinical studyfingerprintfrustrated total internal reflection (FTIR)statistical analysis

Identifiers

PMID40006506
PMCPMC11860537

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.