Facial recognition techniques using SVM: A comparative analysis
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,...
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| Veröffentlicht in: | Enfoque UTE : revista científica 2019-09, Vol.10 (3), p.98-111 |
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| container_title | Enfoque UTE : revista científica |
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| creator | Cadena Moreano, José Augusto La Serna Palomino, Nora Bertha Llano Casa, Alex Christian |
| description | 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. |
| doi_str_mv | 10.29019/enfoque.v10n3.493 |
| format | Article |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Agricultural Engineering Automation & Control Systems Computer Science, Information Systems Engineering, Environmental Engineering, Industrial Engineering, Mechanical Engineering, Petroleum |
| title | Facial recognition techniques using SVM: A comparative analysis |
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