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

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ID: 110874
2015
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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.
Reference Key
xie2015sensorsintensity Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shan Juan Xie;Yu Lu;Sook Yoon;Jucheng Yang;Dong Sun Park;Xie, Shan Juan;Lu, Yu;Yoon, Sook;Yang, Jucheng;Park, Dong Sun;
Journal sensors
Year 2015
DOI
10.3390/s150717089
URL
https://www.mdpi.com/1424-8220/15/7/17089#citedby
Keywords
intensity variation finger vein recognition image enhancement guided filter single scale retinex

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