A Study of Two Dimensional Fisher Linear Discriminant for Palm Vein Recognition

Abstract:

Palm vein is covered with skin, some captured NIR palm vein images are not clear because of light scattering in the skin. The identification performance is not high by extraction palm vein feature directly. This paper proposes project the palm vein image matrix based on two dimensional Fisher linear discriminant directly, then calculates the Euclidean distance of the projection matrix, seeks the nearest distance for classification. The experiment has been done in a self-build palm vein database. Firstly, this paper tests the proposed method by different component numbers, then compares the identification performance with the other typical palm vein recognition methods.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 1410-1413
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.1410
• Online since: September 2013
• Authors: Wei Wu
• Keywords: Biometric, Palm Vein Recognition, Two Dimensional Fisher Linear Discriminant

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