Paper Info
Title
Collaborative representation with HM-LBP features for palmprint recognition.
Abstract
A novel collaborative representation model with hierarchical multiscale local binary pattern (HM-LBP) for palmprint recognition is proposed in this paper. HM-LBP can retrieve useful information from non-uniform patterns and reduce the influence of gray scale, rotation and illumination. The HM-LBP feature of palmprint is extracted, and its dimension is reduced by principal component analysis. And then, a collaborative classification with HM-LBP is presented to fully exploit the discrimination information. The proposed algorithm is evaluated on the Hong Kong Polytechnic University database (v2) to test its feasibility and performance. The results show that the algorithm can achieve ideal recognition accuracy of 100% and the speediness is able to fit for the real-time palmprint recognition system.
Year
DOI
Venue
2017
10.1007/s00138-017-0821-y
Mach. Vis. Appl.
Keywords
Field
DocType
Collaborative representation,Hierarchical multiscale local binary pattern,Palmprint recognition
Computer vision,Pattern recognition,Recognition system,Computer science,Local binary patterns,Exploit,Artificial intelligence,Principal component analysis,Grayscale
Journal
Volume
Issue
ISSN
28
3-4
0932-8092
Citations 
PageRank 
References 
6
0.39
18
Authors
3
Name
Order
Citations
PageRank
Xiumei Guo160.39
Weidong Zhou2173.21
Yanli Zhang3473.68