New Finger Biometric Method Using Near Infrared Imaging

Sensors

Eui Chul Lee²  Hyunwoo Jung¹ 

[1] Department of Math and Computer Science, Korea Science Academy of KAIST, Pusan, Korea; E-Mail:;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; E-Mail:

关键词: finger recognition;    finger vein;    finger geometry;    modified Gaussian high-pass filter;    binarization;    local binary pattern;    local derivative pattern;   

DOI  :  10.3390/s110302319

来源: mdpi

【 摘 要 】

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%.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.