Footwear for gender recognition

Yuan Yuan, Yanwei Pang, Xuelong Li

科研成果: 期刊稿件文章同行评审

19 引用 (Scopus)

摘要

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.

源语言英语
文章编号4914855
页(从-至)131-135
页数5
期刊IEEE Transactions on Circuits and Systems for Video Technology
20
1
DOI
出版状态已出版 - 1月 2010
已对外发布

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