TIR/VIS Correlation for Liveness Detection in Face Recognition

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• 作者：Lin Sun (1)
  WaiBin Huang (1) huangwb@zucc.edu.cn
  MingHui Wu (1) mhwu@zucc.edu.cn
• 关键词：liveness detection – ; thermal IR – ; correlation analysis
• 刊名：Lecture Notes in Computer Science
• 出版年：2011
• 出版时间：2011
• 年：2011
• 卷：6855
• 期：1
• 页码：114-121
• 全文大小：287.3 KB
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• 作者单位：1. Department of Computer Science, Zhejiang University City College, China
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Face liveness detection in visible light (VIS) spectrum is facing great challenges. Beyond visible light spectrum, thermal IR (TIR) has intrinsic live signal itself. In this paper, we present a novel liveness detection approach based on thermal IR spectrum. Live face is modeled in the cross-modality of thermal IR and visible light spectrum. In our model, canonical correlation analysis between visible and thermal IR face is exploited. The correlation of different face parts is also investigated to illustrate more correlative features and be helpful to improve live face detection ability. An extensive set of liveness detection experiments are presented to show effectiveness of our approach and other correlation methods are also tested for comparison.