DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-17324

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-8,Issue-7  ( Jul, 2020 )
Paper Title
Face Detection and Recognition using Logistic Regression, K-Nearest Neighbor, and Principal Component Analysis
Author Name
Maher A. Aljohani
Affilition
Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
Pages
31-35
Abstract
This paper presents an algorithm for face detection and recognition using principal component analysis (PCA). The face features are extracted to be detected using Logistic regression and K-nearest neighbor classifiers and there will be a comparison to find the optimum classifier to be used with PCA. Then, the obtained features are used for face recognition by Principal component analysis for eigenfaces to make a decision whether he or she is recognized or not. Keywords - Face Recognition; Logistic Regression; Nearest Neighbor; Principal Component Analysis.
  View Paper