International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Volume-9,Issue-1  ( Jan, 2021 )
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Statistics report
Apr. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 97
Paper Published : 1482
No. of Authors : 4013
  Journal Paper


Paper Title :
Face Detection and Recognition using Logistic Regression, K-Nearest Neighbor, and Principal Component Analysis

Author :Maher A. Aljohani

Article Citation :Maher A. Aljohani , (2020 ) " Face Detection and Recognition using Logistic Regression, K-Nearest Neighbor, and Principal Component Analysis " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 31-35, Volume-8,Issue-7

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.

Type : Research paper

Published : Volume-8,Issue-7


DOIONLINE NO - IJEEDC-IRAJ-DOIONLNE-17324   View Here

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