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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 4/2015

01.11.2015 | Survey

A review of facial gender recognition

verfasst von: Choon-Boon Ng, Yong-Haur Tay, Bok-Min Goi

Erschienen in: Pattern Analysis and Applications | Ausgabe 4/2015

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Abstract

Applications such as human–computer interaction, surveillance, biometrics and intelligent marketing would benefit greatly from knowledge of the attributes of the human subjects under scrutiny. The gender of a person is one such significant demographic attribute. This paper provides a review of facial gender recognition in computer vision. It is certainly not a trivial task to identify gender from images of the face. We highlight the challenges involved, which can be divided into human factors and those introduced during the image capture process. A comprehensive survey of facial feature extraction methods for gender recognition studied in the past couple of decades is provided. We appraise the datasets used for evaluation of gender classification performance. Based on the results reported, good performance has been achieved for images captured under controlled environments, but certainly there is still much work that can be done to improve the robustness of gender recognition under real-life environments.
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Metadaten
Titel
A review of facial gender recognition
verfasst von
Choon-Boon Ng
Yong-Haur Tay
Bok-Min Goi
Publikationsdatum
01.11.2015
Verlag
Springer London
Erschienen in
Pattern Analysis and Applications / Ausgabe 4/2015
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-015-0499-6

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