Conference contribution
(Original article)


Using Edge Orientation Histograms in Face--based Gender Classification


Publication Details
Author(s): Timotius I, Setyawan I
Publication year: 2014
Conference Proceedings Title: International Conference on Information Technology Systems and Innovation
Pages range: 93 - 98
Event: International Conference on Information Technology Systems and Innovation
Event location: Bandung
Language: English

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%.



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).

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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