Similarity check Face pattern recognition using Expectation-Maximization (EM) algorithm

Purwadi, Joko and Hernadi, Julan and Suryantoro, Danang (2022) Similarity check Face pattern recognition using Expectation-Maximization (EM) algorithm. Bulletin of Applied Mathematics and Mathematics Education, 2 (1). ISSN 2776-1029

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Abstract

This paper discuss about the use face patteren recognition which is now days become popular especialy on smartphone lock screen system. The method used in this research are the Expectation – Maximization (EM) Algorithm. EM Algorithm is an iterative optimization method for the estimation of Maximum Likelihood (ML) which is used in incomplete data problems. there are 2 stages, namely the Expectation stage E (E-step) and the Maximization stage M (M-step). These two stages will continue to be carried out until they reach a convergent value. The result of the research shows that EM Algorthm produce high accuracy, it’s about 95% on the data training and 83% accuracy on the data testing.

Item Type:	Artikel Umum
Subjects:	Q Science > Q Science (General)
Divisi / Prodi:	Faculty of Applied Science and Technology (Fakultas Sains Dan Teknologi Terapan) > S1-Mathematics (S1-Matematika)
Depositing User:	Dr. Julan Hernadi
Date Deposited:	23 Dec 2022 04:09
Last Modified:	23 Dec 2022 04:09
URI:	http://eprints.uad.ac.id/id/eprint/38119

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