Evidence map›Paper›PMID 37374839›Full record

ReviewMicromachines2023

A Review of Fingerprint Sensors: Mechanism, Characteristics, and Applications.

Yirong Yu, Qiming Niu, Xuyang Li, Jianshe Xue, Weiguo Liu, Dabin Lin

Abstract readReview
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Toward Synthetic Physical Fingerprint Targets.Sensors (Basel, Switzerland) · 2024
    Article
  5. Article
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

6 authors.

Yirong YuSchool of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China.
Qiming NiuSchool of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China.
Xuyang LiSchool of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China.
Jianshe XueBOE Display Technology Co., Ltd., Beijing 100176, China.
Weiguo LiuSchool of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China.ORCID 0000-0003-4789-821X
Dabin LinSchool of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China.ORCID 0000-0002-1889-7982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification technology based on biometrics is a branch of research that employs the unique individual traits of humans to authenticate identity, which is the most secure method of identification based on its exceptional high dependability and stability of human biometrics. Common biometric identifiers include fingerprints, irises, and facial sounds, among others. In the realm of biometric recognition, fingerprint recognition has gained success with its convenient operation and fast identif ication speed. Different fingerprint collecting techniques, which supply fingerprint information for fingerprint identification systems, have attracted a significant deal of interest in authentication technology regarding fingerprint identification systems. This work presents several fingerprint acquisition techniques, such as optical capacitive and ultrasonic, and analyzes acquisition types and structures. In addition, the pros and drawbacks of various sensor types, as well as the limits and benefits of optical, capacitive, and ultrasonic kinds, are discussed. It is the necessary stage for the application of the Internet of Things (IoT).

Indexed as

fingerprint sensorsInternet of Thingsopticalpiezoelectricultrasonic

Identifiers

PMID37374839
PMCPMC10305017

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.