Facial recognition techniques using SVM: A comparative analysis





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


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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How to Cite

Cadena Moreano, J. A., La Serna Palomino, N. B., & Llano Casa, A. C. (2019). Facial recognition techniques using SVM: A comparative analysis. Enfoque UTE, 10(3), pp. 98 - 111. https://doi.org/10.29019/enfoque.v10n3.493



Computer Science, ICTs