similarity-Application of Mean Filtering Method for Optimizing Face Detection in Digital Photos

Sunardi, Sunardi (2022) similarity-Application of Mean Filtering Method for Optimizing Face Detection in Digital Photos. International Journal of Artificial Intelligence Research, 6 (2). ISSN 2579-7298

Text Application of Mean Filtering Method for Optimizing Face Detection in Digital Photos.pdf Download (2MB)

Abstract

Face detection in digital photos aims to get the face area in the digital photo. Usually,a lot of noise occurred when detecting faces in digital photos. This study applies the mean filtering method to improve digital photos by reducing noise. The accuracyof the mean filtering method is calculated using a confusion matrix, while the ability of this method is measured using the parameters of Mean Square Error (MSE) and Peak Noise to Signal Ratio (PNSR). Viola-Jones methodwas used to detect faces in this research. This methodwas chosen because it is one of the face detection procedures with high accuracy and good computational ability. Testing the mean filtering method obtained the lowest MSE of 9.33, while the highest PNSR of14.37. The accuracy obtained by the mean filtering method using confusion is 90%. Based on these results, it can be concluded that the mean filtering method is feasible to be used in the case of face detection in digital photos.

Item Type:	Artikel Umum
Subjects:	T Technology > T Technology (General)
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Electrical Engineering (S1-Teknik Elektro)
Depositing User:	SUNARDI
Date Deposited:	23 Aug 2022 02:49
Last Modified:	23 Aug 2022 02:52
URI:	http://eprints.uad.ac.id/id/eprint/36444

Actions (login required)

View Item