Bulletin of Applied Mathematics and Mathematics Education
Vol. 2 No. 1 (2022)

Face pattern recognition using Expectation-Maximization (EM) algorithm

Joko Purwadi (Universitas Ahmad Dahlan)
Julan Hernadi (Universitas Ahmad Dahlan)
M. Danang Suryantoro (Universitas Ahmad Dahlan)



Article Info

Publish Date
18 May 2022

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.

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Journal Info

Abbrev

BAMME

Publisher

Subject

Mathematics

Description

BAMME welcomes high-quality manuscripts resulted from a research project in the scope of applied mathematics and mathematics education, which includes, but is not limited to the following topics: Analysis and applied analysis, algebra and applied algebra, logic, geometry, differential equations, ...