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Gender Classification of Face with Moment Descriptors

Authors:
Wen-Shiung Chen
Po-Yi Lee
Lili Hsieh

Keywords: Moment; Face Recognition; Gender Classification

Abstract:
Moments may effectively describe geometrical properties of an object and thus are widely used in image analysis and pattern recognition, except gender classification. In this work, we propose a modification of eigenmoment and apply to classify sex from facial features. We investigate and compare four moment descriptors with nearest neighbor and SVM in three different feature regions on face. The results show that the features used in gender classification can be effectively represented by moment descriptors.

Pages: 72 to 75

Copyright: Copyright (c) IARIA, 2013

Publication date: July 21, 2013

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-283-7

Location: Nice, France

Dates: from July 21, 2013 to July 26, 2013