Classification of Fingerprints to Study the Relationship Between Fingerprint Types and Disease Lesions Using the
Mach-Zehnder Interferometer Technique - Phase I: Classification of Fingerprints

Poster

Authors/Editors

APICHAI BHATRANAND

Strategic Research Themes

Modeling Design and Optimization (Computational Science and Engineering)

Publication Details

Author list: Pachara Thonglim, Abdullahi Usman, Apichai Bhatranand, Prathan Buranasiri

Publication year: 2024

Languages: English-United States (EN-US)

Abstract

The investigation of fingerprints was performed using the Mach-Zehnder interferometer technique to classify fingerprint types. Fingerprint type images have been applied to predict the probability of disease in humans for the next phase.

Keywords

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Classification of Fingerprints to Study the Relationship Between Fingerprint Types and Disease Lesions Using theMach-Zehnder Interferometer Technique - Phase I: Classification of Fingerprints