Gender Recognition from Face Images Using a Geometric Descriptor

Author(s)

Mussel Cirne, Marcos Vinicius ; Pedrini, Helio ; IEEE

• Document type: Journal article
• Source: 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC); v. N/A, p. 6-pg., 2017-01-01.

Abstract

Gender recognition from face images is a challenging problem with applications in various knowledge domains, such as biometrics, security and surveillance, human-computer interaction, among others. In this work, we propose and evaluate a novel method for gender recognition based on a geometric descriptor constructed from a pre-defined face shape model. The proposed approach, tested on four different face datasets, achieved superior results for most cases when compared to other methods based on geometric descriptors. (AU)

• FAPESP's process: 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?
• Grantee: Alexandre Xavier Falcão
• Support Opportunities: Research Projects - Thematic Grants