Face pattern recognition using Expectation-Maximization (EM) algorithm

Purwadi, Joko and Hernadi, Julan and Suryantoro, Danang Face pattern recognition using Expectation-Maximization (EM) algorithm. [Artikel Dosen]

Text Pattern recognition using EM.pdf Download (824kB)

Abstract

This paper discusses the use of face pattern recognition which is
nowadays become popular, especially on smartphone lock screen
systems. The method used in this research is 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 Algorithm produces high accuracy, it’s about 95% on the data
training and 83% accuracy in the data testing.

Item Type:	Artikel Dosen
Subjects:	Q Science > QA Mathematics
Divisi / Prodi:	Faculty of Applied Science and Technology (Fakultas Sains Dan Teknologi Terapan) > S1-Mathematics (S1-Matematika)
Depositing User:	Dr. Julan Hernadi
Date Deposited:	04 Jan 2023 03:00
Last Modified:	04 Jan 2023 03:00
URI:	http://eprints.uad.ac.id/id/eprint/38406

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