Comparison of Different Face Recognition Method Based On PCA
2014 ◽
Vol 10
(4)
◽
pp. 2016-2022
Keyword(s):
This paper is about human face recognition in image files. Face recognition involves matching a given image with the database of images and identifying the image that it resembles the most. Here, face recognition is done using: (a) Eigen faces and (b) applying Principal Component Analysis (PCA) on image. The aim is to successfully demonstrate the human face recognition using Principal component analysis & comparison of Manhattan distance, Eucleadian distance & Chebychev distance for face matching.
2013 ◽
Vol 5
(4)
◽
pp. 82-94
◽
2020 ◽
Vol 9
(2)
◽
pp. 335-343
2010 ◽
pp. 688-691
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