Facial recognition techniques using SVM: A comparative analysis

Keywords: Databases, Support vector machine, Facial recognition, Artificial neural networks.

Abstract

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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Published
2019-09-30
How to Cite
Cadena Moreano, J., La Serna Palomino, N., & Llano Casa, A. (2019). Facial recognition techniques using SVM: A comparative analysis. Enfoque UTE, 10(3), pp. 98 - 111. https://doi.org/https://doi.org/10.29019/enfoque.v10n3.493
Section
Computer Science, ICTs