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Using edge orientation
histograms in face-based
gender classification
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Author(s)Page(s):
93 - 98
INSPEC Accession Number:
14951487
Conference Location :
Bandung
DOI:
10.1109/ICITSI.2014.7048244
Publisher:
IEEE
In this paper we present our evaluation of the Edge Orientation Histograms (EOH) as feature descriptors in an automatic face-based gender classification application. The feature descriptors extracted from an input image are evaluated using estimated arithmetic means of accuracies to select the feature descriptors that play the most important role in classification success. Our experiments show that features corresponding to the jawline of the subject play the most important role, yielding an average classification accuracy of up to 86%.
Published in:
Information Technology Systems and Innovation (ICITSI), 2014 International Conference on
Date of Conference:
24-27 Nov. 2014
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Timotius, I.K. ; Dept. of Electron. Eng., Satya Wacana Christian Univ., Salatiga, Indonesia ; Setyawan, I.
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