Authors:
Meiru Mu
1
;
Qiuqi Ruan
2
;
Luuk Spreeuwers
3
and
Raymond Veldhuis
3
Affiliations:
1
Beijing Jiaotong University and University of Twente, China
;
2
Beijing Jiaotong University, China
;
3
University of Twente, Netherlands
Keyword(s):
Gabor Filtering, Palm Code, Fourier Spectral, Horizontal and Vertical 2DPCA, Palmprint Recognition.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Feature Selection and Extraction
;
Image Understanding
;
Pattern Recognition
;
Theory and Methods
Abstract:
Study on automatic person recognition by palmprint is currently a hot topic. In this paper, we propose a novel palmprint recognition method by transforming the typical palmprint phase code feature into its Fourier frequency domain. The resulting real-valued Fourier spectral features are further processed by horizontal and vertical 2DPCA method, which proves highly efficient in terms of computational complexity, storage requirement and recognition accuracy. This paper also gives a contrast study on palm code and competitive code under the proposed feature extraction framework. Besides, experimental results on the Hongkong PolyU Palmprint database demonstrate that the proposed method outperforms many currently reported local Gabor pattern approaches for palmprint recognition.