Effects of the facial and racial features on gender classification

Özlem Özbudak; Mürvet Kirci; Yüksel Çakir; Ece Olcay Güneş

doi:10.1109/MELCON.2010.5476346

Effects of the facial and racial features on gender classification

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

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	MELECON 2010 - The 15th IEEE Mediterranean Electrotechnical Conference
Subtitle of host publication	Book of Abstracts
Pages	26-29
Number of pages	4
DOIs	https://doi.org/10.1109/MELCON.2010.5476346
Publication status	Published - 2010
Event	15th IEEE Mediterranean Electrotechnical Conference, MELECON 2010 - Valletta, Malta Duration: 25 Apr 2010 → 28 Apr 2010

Publication series

Name	Proceedings of the Mediterranean Electrotechnical Conference - MELECON

Conference

Conference	15th IEEE Mediterranean Electrotechnical Conference, MELECON 2010
Country/Territory	Malta
City	Valletta
Period	25/04/10 → 28/04/10

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10.1109/MELCON.2010.5476346

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Özbudak, Ö., Kirci, M., Çakir, Y., & Güneş, E. O. (2010). Effects of the facial and racial features on gender classification. In MELECON 2010 - The 15th IEEE Mediterranean Electrotechnical Conference: Book of Abstracts (pp. 26-29). Article 5476346 (Proceedings of the Mediterranean Electrotechnical Conference - MELECON). https://doi.org/10.1109/MELCON.2010.5476346

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title = "Effects of the facial and racial features on gender classification",

abstract = "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.",

author = "{\"O}zlem {\"O}zbudak and M{\"u}rvet Kirci and Y{\"u}ksel {\c C}akir and G{\"u}ne{\c s}, {Ece Olcay}",

year = "2010",

doi = "10.1109/MELCON.2010.5476346",

language = "English",

isbn = "9781424457953",

series = "Proceedings of the Mediterranean Electrotechnical Conference - MELECON",

pages = "26--29",

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note = "15th IEEE Mediterranean Electrotechnical Conference, MELECON 2010 ; Conference date: 25-04-2010 Through 28-04-2010",

}

Özbudak, Ö, Kirci, M , Çakir, Y & Güneş, EO 2010, Effects of the facial and racial features on gender classification. in MELECON 2010 - The 15th IEEE Mediterranean Electrotechnical Conference: Book of Abstracts., 5476346, Proceedings of the Mediterranean Electrotechnical Conference - MELECON, pp. 26-29, 15th IEEE Mediterranean Electrotechnical Conference, MELECON 2010, Valletta, Malta, 25/04/10. https://doi.org/10.1109/MELCON.2010.5476346

Effects of the facial and racial features on gender classification. / Özbudak, Özlem; Kirci, Mürvet ; Çakir, Yüksel et al.
MELECON 2010 - The 15th IEEE Mediterranean Electrotechnical Conference: Book of Abstracts. 2010. p. 26-29 5476346 (Proceedings of the Mediterranean Electrotechnical Conference - MELECON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Effects of the facial and racial features on gender classification

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