Facial recognition techniques using SVM: A comparative analysis
| Autor: | Nora La Serna Palomino, José Augusto Cadena Moreano, Alex Christian Llano Casa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Artificial neural network
lcsh:T Computer science business.industry Process (engineering) media_common.quotation_subject Feature extraction Pattern recognition lcsh:Technology Facial recognition system Support vector machine ComputingMethodologies_PATTERNRECOGNITION lcsh:TA1-2040 Computer Science ICTs Feature (machine learning) Quality (business) Artificial intelligence lcsh:Engineering (General). Civil engineering (General) business Focus (optics) media_common |
| Zdroj: | Scipedia Open Access Scipedia SL Enfoqute, Vol 10, Iss 3, Pp 98-111 (2019) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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