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    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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    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.


    Item Type: Article
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 20 Jun 2013 10:31
    Last Modified: 11 Oct 2016 15:27


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