Eyebrow Recognition Based on Sparsity Preserving Projections
In order to study the human eyebrow as a novel biometric feature, we proposed an eyebrow recognition method based on sparsity preserving projections (SPP). SPP has already been successfully applied in face recognition, but it has not been applied in other biometric recognition. In this paper, we use SPP in eyebrow recognition, conduct experiments on an eyebrow image database taken from 32 . people to verify the feasibility and validity of eyebrow recognition based on this niethod. In the meantime we also verified the feasibility of eyebrow used as a unique biometric feature for personal identification.
sparsity preserving projections eyebrow recognition compressive sensing
Xinwu Yang Xiaojun Xu Chunnian Liu
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Scienc Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Scienc
国际会议
重庆
英文
895-898
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）