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-DOIONLINE-17324
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Copyright: © Institute of Research and Journals
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Published on 2020-09-04 |
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