NDLI: Age and gender recognition using informative features of various types

Content Provider	IEEE Xplore Digital Library
Author	Fazl-Ersi, Ehsan Mousa-Pasandi, M. Esmaeel Laganiere, Robert Awad, Maher
Copyright Year	2014
Description	Author affiliation: ADitude Media inc., Ottawa, ON K2H 8K7 Canada (Awad, Maher) \|\| School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5 Canada (Fazl-Ersi, Ehsan; Mousa-Pasandi, M. Esmaeel; Laganiere, Robert)
Abstract	Gender recognition and age classification are important applications of face analysis. The vast majority of the existing solutions focus on a single visual descriptor which often encodes only a certain characteristic of the image regions (e.g., shape, or texture, or color, etc.). In this paper, we propose a novel framework for gender and age classification, which facilitates the integration of multiple feature types and therefore allows for taking advantage of various sources of visual information. Furthermore, in the proposed method, only the regions that can best separate face images of different demographic classes (with respect to age and gender) contribute to the face representations, which in turn, improves the classification and recognition accuracies. Experiments performed on a challenging publicly available database validate the effectiveness of our proposed solution and show its superiority over the existing state-of-the-art methods.
Starting Page	5891
Ending Page	5895
File Size	116830
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7026190
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Image color analysis Feature extraction Databases Visualization Shape Histograms feature selection gender recognition age classification uniform LBP face processing color histogram
Content Type	Text
Resource Type	Article

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