Evidence map›Paper›PMID 37346719›Full record

ArticlePeerJ. Computer science2023

An effective fingerprint orientation field estimation method using differential values of grayscale intensity.

Ting-Wei Shen, Mao-Hsiu Hsu, Chun-Hsu Shen, Wen-Fang Wu, Yu-Chiao Lu, Chia-Chun Chu

Abstract read
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In one paragraph

Article in PeerJ. Computer science, 2023. 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

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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

6 authors.

Ting-Wei Shen *Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan.
Mao-Hsiu Hsu *Department of Information Management, Chihlee University of Technology, New Taipei, Taiwan.
Chun-Hsu ShenDepartment of Electronic Engineering, Ming Chuan University, Taoyuan, Taiwan.
Wen-Fang WuDepartment of Mechanical Engineering, National Taiwan University, Taipei, Taiwan.
Yu-Chiao LuDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
Chia-Chun ChuDepartment of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fingerprint orientation field (OF) estimation is important for basic fingerprint image processing and impacts the accuracy of fingerprint image enhancements, such as Gabor filters. In this article, we introduce an OF estimation algorithm based on differential values of grayscale intensity and examine the accuracy and reliability of the proposed algorithm by applying it to fingerprint images processed using Gaussian blurring and the Gaussian white noise process. The experimental results indicate that the OF estimation reliability of the proposed algorithm is higher than the gradient-based method and the power spectral density (PSD) based method in low quality fingerprints. The proposed algorithm is especially useful in noisy fingerprint images, where the OF estimation reliability of the algorithm is 6.46% and 32.93% higher than the gradient-based method and the PSD-based method, respectively.

Indexed as

FingerprintGabor filterGaussian blurringGradient-based methodOrientation field estimation

Identifiers

PMID37346719
PMCPMC10280552

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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.