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Sensors 2015, 15(7), 17089-17105; doi:10.3390/s150717089

Intensity Variation Normalization for Finger Vein Recognition Using Guided Filter Based Singe Scale Retinex

1
Institute of Remote Sensing and Earth Science, College of Science, Hangzhou Normal University, Hangzhou 311121, China
2
Division of Electronic and Information Engineering, Chonbuk National University, Jeonju561-756, Korea
3
Department of Multimedia Engineering, Mokpo National University, Jeonnam534-729, Korea
4
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 9 May 2015 / Revised: 5 July 2015 / Accepted: 8 July 2015 / Published: 14 July 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [3130 KB, uploaded 14 July 2015]   |  

Abstract

Finger vein recognition has been considered one of the most promising biometrics for personal authentication. However, the capacities and percentages of finger tissues (e.g., bone, muscle, ligament, water, fat, etc.) vary person by person. This usually causes poor quality of finger vein images, therefore degrading the performance of finger vein recognition systems (FVRSs). In this paper, the intrinsic factors of finger tissue causing poor quality of finger vein images are analyzed, and an intensity variation (IV) normalization method using guided filter based single scale retinex (GFSSR) is proposed for finger vein image enhancement. The experimental results on two public datasets demonstrate the effectiveness of the proposed method in enhancing the image quality and finger vein recognition accuracy. View Full-Text
Keywords: intensity variation; finger vein recognition; image enhancement; guided filter; single scale retinex intensity variation; finger vein recognition; image enhancement; guided filter; single scale retinex
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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. (CC BY 4.0).

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MDPI and ACS Style

Xie, S.J.; Lu, Y.; Yoon, S.; Yang, J.; Park, D.S. Intensity Variation Normalization for Finger Vein Recognition Using Guided Filter Based Singe Scale Retinex. Sensors 2015, 15, 17089-17105.

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