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Sensors 2011, 11(3), 2319-2333; doi:10.3390/s110302319

New Finger Biometric Method Using Near Infrared Imaging

1
Division of Fusion and Convergence of Mathematical Sciences, National Institute for Mathematical Sciences/463-1, Jeonmin-Dong, KT Daeduk Research Center, Yuseong-gu, Daejeon 305-390, Korea
2
Department of Math and Computer Science, Korea Science Academy of KAIST, Pusan, Korea
*
Author to whom correspondence should be addressed.
Received: 7 January 2011 / Revised: 21 January 2011 / Accepted: 10 February 2011 / Published: 24 February 2011
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Abstract

In this paper, we propose a new finger biometric method. Infrared finger images are first captured, and then feature extraction is performed using a modified Gaussian high-pass filter through binarization, local binary pattern (LBP), and local derivative pattern (LDP) methods. Infrared finger images include the multimodal features of finger veins and finger geometries. Instead of extracting each feature using different methods, the modified Gaussian high-pass filter is fully convolved. Therefore, the extracted binary patterns of finger images include the multimodal features of veins and finger geometries. Experimental results show that the proposed method has an error rate of 0.13%. View Full-Text
Keywords: finger recognition; finger vein; finger geometry; modified Gaussian high-pass filter; binarization; local binary pattern; local derivative pattern finger recognition; finger vein; finger geometry; modified Gaussian high-pass filter; binarization; local binary pattern; local derivative pattern
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lee, E.C.; Jung, H.; Kim, D. New Finger Biometric Method Using Near Infrared Imaging. Sensors 2011, 11, 2319-2333.

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