Fingerprint identification with memetic algorithm and high-performance computing memetic algorithm (HPCMA)
Abstract
A high-performance computation (HPC) is a very needed thing in the organization, researcher, or government to increase innovation of the products and services. This term belongs to parallel computation that can be realized by utilizing multi-threads of the processor. Memetic algorithm (MA) is a simple and powerful algorithm that can run parallel. In this work, we use the original memetic algorithm and a parallel memetic algorithm, so-called a high-performance memetic algorithm (HPCMA) for fingerprint identification, one of the biometric features in the human body. To generate a high-quality biometric identification system, we should pay attention to accuracy, speed up, endurance, and acceptance uses reasonable resources, and reliable to prevent criminalities.
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How to Cite this Article
Priati Assiroj, Harco Leslie Hendric Spits Warnars, Edi Abdurachman, Achmad Imam Kistijantoro, Antoine Doucet, Fingerprint identification with memetic algorithm and high-performance computing memetic algorithm (HPCMA), Commun. Math. Biol. Neurosci., 2021 (2021), Article ID 71. https://doi.org/10.28919/cmbn/6159
Copyright © 2021 Priati Assiroj, Harco Leslie Hendric Spits Warnars, Edi Abdurachman, Achmad Imam Kistijantoro, Antoine Doucet. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.