DocumentCode
1804957
Title
Eyebrow recognition based on sparsity preserving projections
Author
Xinwu Yang ; Xiaojun Xu ; Chunnian Liu
Author_Institution
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, China
fYear
2013
fDate
1-8 Jan. 2013
Firstpage
1
Lastpage
4
Abstract
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 method. In the meantime we also verified the feasibility of eyebrow used as a unique biometric feature for personal identification.
Keywords
Databases; Eyebrows; Face; Image recognition; Image reconstruction; Principal component analysis; Silicon; compressive sensing; eyebrow recognition; sparsity preserving projections;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference Anthology, IEEE
Conference_Location
China
Type
conf
DOI
10.1109/ANTHOLOGY.2013.6784948
Filename
6784948
Link To Document