Effects of the facial and racial features on gender classification

Özlem Özbudak*, Mürvet Kirci, Yüksel Çakir, Ece Olcay Güneş

*Bu çalışma için yazışmadan sorumlu yazar

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15 Atıf (Scopus)

Özet

This paper presents an experimental study on examining the effects of facial and racial features on gender classification. In order to show which facial feature is the most influential for gender classification, parts of several face images, such as, forehead, eyebrows, eyes, nose, lip and chin were masked. For dimension reduction, Principal Component Analysis (PCA) and for determination of gender, Fisher Linear Discriminant (FLD) algorithms were applied to masked face images. Moreover, the effects of racial features on gender classification were studied. Experimental results indicated that the nose is the most influential part for gender classification. Furthermore the gender of the Asian people is more easily distinguished than that of the people of African origin.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıMELECON 2010 - The 15th IEEE Mediterranean Electrotechnical Conference
Ana bilgisayar yayını alt yazısıBook of Abstracts
Sayfalar26-29
Sayfa sayısı4
DOI'lar
Yayın durumuYayınlandı - 2010
Etkinlik15th IEEE Mediterranean Electrotechnical Conference, MELECON 2010 - Valletta, Malta
Süre: 25 Nis 201028 Nis 2010

Yayın serisi

AdıProceedings of the Mediterranean Electrotechnical Conference - MELECON

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???event.eventtypes.event.conference???15th IEEE Mediterranean Electrotechnical Conference, MELECON 2010
Ülke/BölgeMalta
ŞehirValletta
Periyot25/04/1028/04/10

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