A gender and age estimation system from face images

We developed extraction functions of a face candidate region with color information and parts of its face and combined them with the gender and age estimation algorithm we had already developed so that the algorithm can be applied to real time captured face images. The experimental results have show...

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Bibliographische Detailangaben
Hauptverfasser:	Iga, R., Izumi, K., Hayashi, H., Fukano, G., Ohtani, T.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Brightness Color Computer vision Data mining Face detection Skin Support vector machine classification Support vector machines Testing Voting
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Beschreibung
Zusammenfassung:	We developed extraction functions of a face candidate region with color information and parts of its face and combined them with the gender and age estimation algorithm we had already developed so that the algorithm can be applied to real time captured face images. The experimental results have shown hitting ratios of 93.1% and 58.4% for gender and age respectively.