Open AccessFacial recognition techniques using SVM: A comparative analysis
Author(s) -
José Augusto Cadena Moreano,
Nora Bertha La Serna Palomino,
Alex Christian Llano Casa
Publication year - 2019
Publication title -
enfoque ute
Language(s) - English
Resource type - Journals
eISSN - 1390-9363
pISSN - 1390-6542
DOI - 10.29019/enfoque.v10n3.493
Subject(s) - computer science , artificial intelligence , pattern recognition (psychology) , support vector machine , feature extraction , focus (optics) , feature (linguistics) , process (computing) , machine learning , operating system , linguistics , philosophy , optics , physics
This paper presents a literary review of facial recognition in 2D, which plays an important role in the life of the human being in terms of safety, work activity, etc. The focus is on the results obtained by some researchers with the application of feature extraction techniques, pattern classifiers, databases and their respective percentage of efficiency obtained. The objective is to determine efficient techniques that allow an optimal 2D facial recognition process, based on the quality of databases, feature extractors and pattern classifiers.
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