Footwear for gender recognition

Yuan Yuan, Yanwei Pang, Xuelong Li

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Article number4914855
Pages (from-to)131-135
Number of pages5
JournalIEEE Transactions on Circuits and Systems For Video Technology
Issue number1
Publication statusPublished - Jan 2010


  • biometrics
  • footwear
  • gender recognition
  • shoes
  • gender issues
  • visual databases
  • biometrics resources
  • footwear database
  • gender recognition systems


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