An approach for iris contact lens detection and classification using ensemble of customized DenseNet and SVM
作者: Meenakshi ChoudharyVivek TiwariVenkanna U.
作者单位: 1DSPM International Institute of Information Technology (IIIT), Naya Raipur (C.G.), India
刊名: Future Generation Computer Systems, 2019, Vol.101 , pp.1259-1270
来源数据库: Elsevier Journal
DOI: 10.1016/j.future.2019.07.003
关键词: Contact lens detectionDenseNetSupport Vector Machine (SVM)Iris normalizationConvolutional Neural Network (CNN)
原始语种摘要: Abstract(#br)In spite of the prominent advancements in iris recognition, it can significantly be deceived by contact lenses. As the contact lens wraps the iris region and obstructs sensors from capturing the actual iris. Moreover, cosmetic lenses are prone to forge the iris recognition system by registering an individual with fake iris signatures. Therefore, it is foremost to perceive the existence of the contact lens in human eyes prior to access an iris recognition system. This paper introduces a novel Densely Connected Contact Lens Detection Network (DCLNet) has been proposed, which is a deep convolutional network with dense connections among layers. DCLNet has been designed through a series of customizations over Densenet121 with the addition of Support Vector Machine (SVM) classifier...
全文获取路径: Elsevier  (合作)
影响因子:1.864 (2012)

  • SVM 共享虚拟存储器
  • customized 修]定做[制
  • normalization 正规化
  • recognition 识别
  • contact 接触圈
  • registering 记录
  • segmentation 分段
  • Vector 矢量
  • accepts 合格品
  • spite 恶意