Abstract
In this paper, a novel method for palmprint recognition is proposed. In this method, each pixel of a palmprint image is considered as a coordinate in a high-dimensional image space. A linear projection based on Fisher's linear discriminant (FLD) is used to project palmprints from this high-dimensional space to a significantly lower dimensional feature space, in which the ratio of the determinant of the between-class scatter to that of the within-class scatter is maximized. High accuracies of 99% and 99.2% have been obtained in one-to-one matching and one-to-300 matching test respectively and the speed of this method is rapid enough for real-time palmprint recognition.
Original language | English |
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Title of host publication | International Conference on Machine Learning and Cybernetics |
Pages | 3150-3154 |
Number of pages | 5 |
Volume | 5 |
Publication status | Published - 1 Dec 2003 |
Event | 2003 International Conference on Machine Learning and Cybernetics - Xi'an, China Duration: 2 Nov 2003 → 5 Nov 2003 |
Conference
Conference | 2003 International Conference on Machine Learning and Cybernetics |
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Country/Territory | China |
City | Xi'an |
Period | 2/11/03 → 5/11/03 |
Keywords
- Biometrics
- Fisher's linear discriminant
- Linear projection
- Palmprint recognition
ASJC Scopus subject areas
- Artificial Intelligence