Using Edge Orientation Histograms in Face--based Gender Classification
Timotius I, Setyawan I (2014)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2014
Pages Range: 93 - 98
Conference Proceedings Title: International Conference on Information Technology Systems and Innovation
Event location: Bandung
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7048244
DOI: 10.1109/ICITSI.2014.7048244
Abstract
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%.
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How to cite
APA:
Timotius, I., & Setyawan, I. (2014). Using Edge Orientation Histograms in Face--based Gender Classification. In International Conference on Information Technology Systems and Innovation (pp. 93 - 98). Bandung, ID.
MLA:
Timotius, Ivanna, and Iwan Setyawan. "Using Edge Orientation Histograms in Face--based Gender Classification." Proceedings of the International Conference on Information Technology Systems and Innovation, Bandung 2014. 93 - 98.
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