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.
Original language | English |
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Title of host publication | Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013) |
Editors | Meiru Mu |
Publisher | SCITEPRESS |
Pages | 22-32 |
Number of pages | 11 |
ISBN (Print) | 978-989-8565-41-9 |
DOIs | |
Publication status | Published - Feb 2013 |
Event | 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013 - Barcelona, Spain Duration: 15 Feb 2013 → 18 Feb 2013 Conference number: 2 |
Conference
Conference | 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013 |
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Abbreviated title | ICPRAM |
Country/Territory | Spain |
City | Barcelona |
Period | 15/02/13 → 18/02/13 |
Keywords
- SCS-Safety
- Gabor filtering
- Palm code
- Fourier spectral
- Horizontal and vertical 2DPCA
- Palmprint recognition