Details

Autor(en) / Beteiligte

• Marjan, Md. Abu
• Islam, Md. Rashedul
• Uddin, Md. Palash
• Afjal, Masud Ibn
• Mamun, Md. Al

Titel

PCA-based dimensionality reduction for face recognition

Ist Teil von

• Telkomnika, 2021-10, Vol.19 (5), p.1622-1629

Ort / Verlag

Yogyakarta: Ahmad Dahlan University

Erscheinungsjahr

2021

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• In this paper, we conduct a comprehensive study on dimensionality reduction (DR) techniques and discuss the mostly used statistical DR technique called principal component analysis (PCA) in detail with a view to addressing the classical face recognition problem. Therefore, we, more devotedly, propose a solution to either a typical face or individual face recognition based on the principal components, which are constructed using PCA on the face images. We simulate the proposed solution with several training and test sets of manually captured face images and also with the popular Olivetti Research Laboratory (ORL) and Yale face databases. The performance measure of the proposed face recognizer signifies its superiority.