SUPPORT VECTOR MACHINE IN GENDER RECOGNITION | Zendy

Zofia Stawska | Zendy

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SUPPORT VECTOR MACHINE IN GENDER RECOGNITION

Author(s) -

Zofia Stawska

Publication year - 2017

Publication title -

information system in management

Language(s) - English

Resource type - Journals

eISSN - 2544-1728

pISSN - 2084-5537

DOI - 10.22630/isim.2017.6.4.6

Subject(s) - support vector machine , artificial intelligence , pattern recognition (psychology) , computer science , facial recognition system , face (sociological concept) , computer vision , social science , sociology

In the paper, Support Vector Machine (SVM) methods are discussed. The SVM algorithm is a very strong classification tool. Its capability in gender recognition in comparison with the other methods is presented here. Different sets of face features derived from the frontal facial image such as eye corners, nostrils, mouth corners etc. are taken into account. The efficiency of different sets of facial features in gender recognition using SVM method is examined.

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