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