Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification

Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification

Person identification through chest X-ray radiographs stands as a vanguard in both healthcare and biometrical security domains. In contrast to traditional biometric modalities, such as facial recognition, fingerprints and iris scans, the research orientation towards chest X-ray recognition has been...

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Bibliographic Details
Main Authors: Farah Hazem, Bennour Akram, Tahar Mekhaznia, Fahad Ghabban, Abdullah Alsaeedi, Bhawna Goyal
Format: Article
Language:English
Published: Prague University of Economics and Business 2024-08-01
Series:Acta Informatica Pragensia
Subjects:
deep learning
convolutional neural network
cnn
siamese neural network
triplet loss
Online Access:https://aip.vse.cz/artkey/aip-202402-0006_beyond-traditional-biometrics-harnessing-chest-x-ray-features-for-robust-person-identification.php
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https://aip.vse.cz/artkey/aip-202402-0006_beyond-traditional-biometrics-harnessing-chest-x-ray-features-for-robust-person-identification.php

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