Finger-knuckle-print recognition using LGBP

  • Authors:
  • Ming Xiong;Wankou Yang;Changyin Sun

  • Affiliations:
  • School of Automation, Southeast University, Nanjing, China;School of Automation, Southeast University, Nanjing, China;School of Automation, Southeast University, Nanjing, China

  • Venue:
  • ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
  • Year:
  • 2011

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Abstract

Recently, a new biometrics, finger-knuckle-print recognition, has attractive interests of researchers. The popular techniques used in face recognition are not applied in finger-knuckle-print recognition. Inspired by the success of Local Gabor Binary Patterns (LGBP) in face recognition, we present a method that uses LGBP to identify finger-knuckle-print images. The experimental results show that our proposed method works well.