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

New Finger Biometric Method Using Near Infrared Imaging

1,* email, 2email and 1email
Received: 7 January 2011; in revised form: 21 January 2011 / Accepted: 10 February 2011 / Published: 24 February 2011
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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%.
Keywords: finger recognition; finger vein; finger geometry; modified Gaussian high-pass filter; binarization; local binary pattern; local derivative pattern
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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.

AMA Style

Lee EC, Jung H, Kim D. New Finger Biometric Method Using Near Infrared Imaging. Sensors. 2011; 11(3):2319-2333.

Chicago/Turabian Style

Lee, Eui Chul; Jung, Hyunwoo; Kim, Daeyeoul. 2011. "New Finger Biometric Method Using Near Infrared Imaging." Sensors 11, no. 3: 2319-2333.

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