Abstract
Palmprint has been widely studied as its high accuracy and low cost. Most of the previous studies are based on two dimensional (2D) image of the palmprint. However, 2D image can be easily forged, which will threaten the security of palmprint authentication system. Furthermore, 2D image can be easily affected by noise, such as scrabbling and dirty in the palm. To overcome these shortcomings, we develop a three dimensional (3D) palmprint identification system. The structured-light imaging technology is adopted to collect the 3D palmprint data, from which the stable Mean Curvature Image (MCI) is extracted. Then the Competitive Coding (CompCode) technique is used to code the 3D palmprint pattern according the MCI. By using score level fusion of MCI and its CompCode, promising recognition performance is achieved on our established 3D palmprint database.
Original language | English |
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Title of host publication | Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 |
Pages | 4847-4852 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2009 |
Event | 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States Duration: 11 Oct 2009 → 14 Oct 2009 |
Conference
Conference | 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 |
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Country/Territory | United States |
City | San Antonio, TX |
Period | 11/10/09 → 14/10/09 |
Keywords
- 3D palmprint identification
- Biometrics
- Feature coding
- Mean curvature
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Human-Computer Interaction