DocumentCode
232037
Title
A novel finger-knuckle-print recognition based on convex optimization
Author
Ying Xu ; Yikui Zhai ; Junying Gan ; Junying Zeng
Author_Institution
Sch. of Inf. & Eng., Wuyi Univ., Jiangmen, China
fYear
2014
fDate
19-23 Oct. 2014
Firstpage
1785
Lastpage
1789
Abstract
A novel finger-knuckle-print (FKP) recognition based on convex optimization is proposed in this paper. Convex hulls and image sets are adopted to construct the proposed method. Experiments on the publish FKP database show that the proposed algorithm can achieve high performance compared with the state-of-the-art method.
Keywords
biometrics (access control); image recognition; optimisation; FKP database; convex hulls; convex optimization; finger-knuckle-print recognition; image sets; Biomedical imaging; Business process re-engineering; Image recognition; Finger-knuckle-print; affine apace; biometrics image sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location
Hangzhou
ISSN
2164-5221
Print_ISBN
978-1-4799-2188-1
Type
conf
DOI
10.1109/ICOSP.2014.7015301
Filename
7015301
Link To Document