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
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;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015301
