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

Sensors

Shan Juan Xie²  Yu Lu³  Sook Yoon⁴  Jucheng Yang¹  Dong Sun Park³ 

[1] College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China; E-Mail:;Institute of Remote Sensing and Earth Science, College of Science, Hangzhou Normal University, Hangzhou 311121, China; E-Mail:;Division of Electronic and Information Engineering, Chonbuk National University, Jeonju561-756, Korea; E-Mail:;Department of Multimedia Engineering, Mokpo National University, Jeonnam534-729, Korea; E-Mail:

关键词: intensity variation;    finger vein recognition;    image enhancement;    guided filter;    single scale retinex;   

DOI  :  10.3390/s150717089

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.