Abstract
A palmprint image contains abundant features, such as the ridges, lines and textures, etc. Different features reflect the different characteristic of the palmprint. Fusion of multiple palmprint features may enhance the performance of a palmprint authentication system. In this paper, we investigate the fusion of two novel palmprint representations: orientationCode and diffCode. OrientationCode are defined using four directional templates and diffCode is computed using differential operation. Then these two codes are fused to measure the similarity of palmprints. The experimental results show that the proposed approach can get a very high accuracy.
Original language | English |
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Title of host publication | Proceedings of the 2006 International Conference on Machine Learning and Cybernetics |
Pages | 3260-3265 |
Number of pages | 6 |
Volume | 2006 |
DOIs | |
Publication status | Published - 1 Dec 2006 |
Event | 2006 International Conference on Machine Learning and Cybernetics - Dalian, China Duration: 13 Aug 2006 → 16 Aug 2006 |
Conference
Conference | 2006 International Conference on Machine Learning and Cybernetics |
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Country/Territory | China |
City | Dalian |
Period | 13/08/06 → 16/08/06 |
Keywords
- Biometrics
- DiffCode
- Feature fusion
- OrientationCode
- Palmprint authentication
ASJC Scopus subject areas
- General Engineering