Footwear for gender recognition

Yuan, Y. and Pang, Y. and Li, Xuelong (2010) Footwear for gender recognition. IEEE Transactions on Circuits and Systems for Video Technology 20 (1), pp. 131-135. ISSN 1051-8215.

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Official URL: http://dx.doi.org/10.1109/TCSVT.2009.2022795

Abstract

Conventionally, biometrics resources, such as face, gait silhouette, footprint, and pressure, have been utilized in gender recognition systems. However, the acquisition and processing time of these biometrics data makes the analysis difficult. This letter demonstrates for the first time how effective the footwear appearance is for gender recognition as a biometrics resource. A footwear database is also established with reprehensive shoes (footwears). Preliminary experimental results suggest that footwear appearance is a promising resource for gender recognition. Moreover, it also has the potential to be used jointly with other developed biometrics resources to boost performance.

Metadata

Item Type:	Article
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	20 Jun 2013 10:31
Last Modified:	09 Aug 2023 12:33
URI:	https://eprints.bbk.ac.uk/id/eprint/7521

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