Palm Vein Recognition Based on Independent Component Analysis

Wei Wu

doi:10.4028/www.scientific.net/AMM.333-335.1106

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Palm Vein Recognition Based on Independent...

Palm Vein Recognition Based on Independent Component Analysis

Abstract:

Palm vein pattern recognition is one of the newest biometric techniques researched today. This paper proposes project the palm vein image matrix based on independent component analysis 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. Experimental results show that the algorithm of independent component analysis is suitable for palm vein recognition and the recognition performance is practical.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

1106-1109

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.1106

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Online since:

July 2013

Authors:

Wei Wu

Keywords:

Biometric, Independent Component Analysis (ICA), Palm Vein Pattern Recognition

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