عنوان انگلیسی مقاله:
Finger veins recognition using machine learning techniques
ترجمه فارسی عنوان مقاله:
تشخیص رگ های انگشت با استفاده از تکنیک های یادگیری ماشین
Sciencedirect - Elsevier - Materials Today: Proceedings, Corrected proof: doi:10:1016/j:matpr:2021:04:076
Ashraf Tahseen Ali
This study aims The Finger veins are a unique feature of the human, this differs from other biometric signs. That impossibility for an imposter to discovered and penetrate the system and difficult to know because the veins are under the skin, and is distinguished from the rest by its flexibility because the per- son has more than one finger to take. In this paper, we will present impostor detection using seven machine-learning techniques, preceded description of preprocessing, and features extraction. These steps implemented on two datasets. The best performance of the classifiers was naive bias followed by random forest. While the lower classifier accuracy was JRip.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering.
Keywords: Machine learning | Veins | Imposter | Naïve Bayes | k-Nearest Neighbor | Random forest