Wide Field of View Under-Panel Optical Lens Design for Fingerprint Recognition of Smartphone.

Cheng-Mu Tsai, Sung-Jr Wu, Yi-Chin Fang, Pin Han

Abstract read

In one paragraph

Article in Micromachines, 2024. 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

4 authors.

Cheng-Mu TsaiGraduate Institute of Precision Engineering, National Chung Hsing University, Taichung City 402, Taiwan.ORCID 0000-0002-8919-5427

Sung-Jr WuGraduate Institute of Precision Engineering, National Chung Hsing University, Taichung City 402, Taiwan.

Yi-Chin FangInstitute of Smart Industry and Green Energy, National Yang Ming Chiao Tung University, Tainan City 711, Taiwan.ORCID 0000-0003-2098-6869

Pin HanGraduate Institute of Precision Engineering, National Chung Hsing University, Taichung City 402, Taiwan.ORCID 0000-0003-1200-1425

Funding

National Science and Technology Council 112-2221-E-005-086-MY2National Science and Technology Council 112-2221-E-A49 -179National Science and Technology Council 112-2622-E-005-001

6 · The paper itself

Abstract

Fingerprint recognition is a widely used biometric authentication method in LED-backlight smartphones. Due to the increasing demand for full-screen smartphones, under-display fingerprint recognition has become a popular trend. In this paper, we propose a design of an optical fingerprint recognition lens for under-display smartphones. The lens is composed of three plastic aspheric lenses, with an effective focal length (EFL) of 0.61 mm, a field of view (FOV) of 126°, and a total track length (TTL) of 2.54 mm. The image quality of the lens meets the target specifications, with MTF over 80% in the center FOV and over 70% in the 0.7 FOV, distortion less than 8% at an image height of 1.0 mm, and relative illumination (RI) greater than 25% at an image height of 1.0 mm. The lens also meets the current industry standards in terms of tolerance sensitivity and Monte Carlo analysis.

Indexed as

fingerprint recognition under the screenLED-backlightoptical designtolerance analysis

Identifiers

PMID38542633

DOI10.3390/mi15030386

PMCPMC10972106

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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.