A Performance Study of SIFT, SIFT-PCA and SIFT-LDA for Face Recognition

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Provided by: International Journal of Soft Computing and Engineering (IJSCE)
Topic: Security
Format: PDF
Humans have the ability to identify faces instantly with minimum effort and inspired by this, Face Recognition (FR) tries to imitate this ability by using numerous effective algorithms and has been extensively developed in the last decade. FR has received a lot of attention because of its wide range of its applications. Since humans store and retrieve images instantly when needed, FR imitates this procedure by holding images in a database and trains them to recognize faces. Although many impactful algorithms have been developed, they are not entirely effective in unconstrained settings.
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