Title
Palmprint recognition using Gabor feature-based two-directional two-dimensional linear discriminant analysis
Abstract
In this paper, we propose a novel palmprint recognition approach using Gabor feature-based two-directional two-dimensional linear discriminant analysis (GB(2D)2LDA). Three main steps are involved in the proposed GB(2D)2LDA: (i) Gabor features of different scales and orientations are extracted by the convolution of Gabor filter banks and original gray palmprint images; (ii) (2D)2LDA is used for dimensionality reduction of Gabor feature space; (iii) Euclidean distance and the nearest neighbor classifier are finally used for classification. The method is not only robust to illumination and rotation, but also efficient in feature matching. Simulation results on PolyU Palmprint Database show that the effectiveness of our proposed GB(2D)2LDA in both accuracy and speed.
Year
DOI
Venue
2011
10.1109/EMEIT.2011.6023413
EMEIT
Keywords
DocType
Volume
original gray palmprint images,palmprint recognition,two-directional two-dimensional linear discriminant analysis,image matching,gabor filter banks,gabor filters,dimensionality reduction,image recognition,nearest neighbor classifier,biometrics (access control),polyu palmprint database,gabor feature-based two-directional two-dimensional linear discriminant analysis,palmprint recognition approach,euclidean distance,feature matching
Conference
4
Issue
ISBN
Citations 
null
978-1-61284-087-1
1
PageRank 
References 
Authors
0.36
14
3
Name
Order
Citations
PageRank
Zhiqiang Zeng113916.35
pingping huangb210.36
shan xi310.36