In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as feature extraction technique. The neighbourhood shape in LLBP is a straight line, unlike in local binary pattern (LBP) which is a square shape. Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP).
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This method is implemented using the Matlab 7.0 function im2bw.
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This method is implemented using the Matlab 7.0 function graythresh.
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The Matlab implementation is available at the Matlab Central. Available online: http://www.mathworks.com/matlabcentral/fileexchange/5457 (accessed on 4 November 2011).
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Lee, E.C.; Lee, H.C.; Park, K.R. Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction. Int. J. Imag. Syst. Tech 2009, 19, 179–186, doi:10.1002/ima.20193.
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Jabid, T.; Kabir, M.H.; Chae, O. Robust facial expression recognition based on local directional Pattern. ETRI J 2010, 32, 784–794, doi:10.4218/etrij.10.1510.0132.
