Iris anti-spoofing through score-level fusion of handcrafted and data-driven features
作者: Meenakshi ChoudharyVivek TiwariVenkanna U.
作者单位: 1DSPM IIIT Naya Raipur (C.G.), 493661, India
刊名: Applied Soft Computing Journal, 2020, Vol.91
来源数据库: Elsevier Journal
DOI: 10.1016/j.asoc.2020.106206
关键词: Iris anti-spoofingDenseNet121DCCNetIris presentation attack detectionContact lens classificationScore-level fusion
原始语种摘要: Abstract(#br)In the past two decads, iris spoofing detection has occupied an ample space in the literature of iris biometics. The textured lens may be used to spoof the Iris Recognition (IR) system by exploiting its external texture. Besides, the soft lens may cause an upsurge in the false rejection rate as it blurs the iris texture. Therefore, it is foremost to identify contact lens in human eyes before accessing an IR system. This paper proposes a novel fusion-based approach to discriminate live iris from contact lens images that combines handcrafted and data-driven features. It also demonstrates a Densely-connected Contact-lens Classification Network (DCCNet) as a data-driven model that is basically a customized Densenet121 framework. The DCCNet features are -pooled with handcrafted...
全文获取路径: Elsevier  (合作)
影响因子:2.14 (2012)

  • spoofing 电子欺骗
  • features 特征
  • fusion 融解
  • driven 从动的
  • texture 结构
  • Recognition 识别
  • attack 侵蚀
  • level 水准
  • customized 修]定做[制
  • framework 构架