NDLI: Palmprint recognition using Gabor feature-based two-directional two-dimensional linear discriminant analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhiqiang Zeng Pingping Huang
Copyright Year	2011
Description	Author affiliation: School of Mechanical Engineering and Automation, North University of China, Taiyuan, Shan Xi, China (Zhiqiang Zeng; Pingping Huang)
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.
Starting Page	1917
Ending Page	1921
File Size	2123465
Page Count	5
File Format	PDF
ISBN	9781612840871
e-ISBN	9781612840888
DOI	10.1109/EMEIT.2011.6023413
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Image recognition Convolution Databases Gabor Filter Banks Nearest Neighbor Classifier Feature extraction Palmprint Recognition Two-directional Two-dimensional Linear Discriminant Analysis Pattern recognition Gabor filters
Content Type	Text
Resource Type	Article

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