Scattering Removal for Finger-Vein Image Restoration

Finger-vein recognition has received increased attention recently. However, the finger-vein images are always captured in poor quality. This certainly makes finger-vein feature representation unreliable, and further impairs the accuracy of finger-vein recognition. In this paper, we first give an ana...

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Main Authors: Jinfeng Yang, Ben Zhang, Yihua Shi
Format: Article
Language:English
Published: MDPI AG 2012-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/12/3/3627/
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author Jinfeng Yang
Ben Zhang
Yihua Shi
author_facet Jinfeng Yang
Ben Zhang
Yihua Shi
author_sort Jinfeng Yang
collection DOAJ
description Finger-vein recognition has received increased attention recently. However, the finger-vein images are always captured in poor quality. This certainly makes finger-vein feature representation unreliable, and further impairs the accuracy of finger-vein recognition. In this paper, we first give an analysis of the intrinsic factors causing finger-vein image degradation, and then propose a simple but effective image restoration method based on scattering removal. To give a proper description of finger-vein image degradation, a biological optical model (BOM) specific to finger-vein imaging is proposed according to the principle of light propagation in biological tissues. Based on BOM, the light scattering component is sensibly estimated and properly removed for finger-vein image restoration. Finally, experimental results demonstrate that the proposed method is powerful in enhancing the finger-vein image contrast and in improving the finger-vein image matching accuracy.
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spelling doaj.art-df1ca137d63a400bae5864e61054b8b32022-12-22T04:10:34ZengMDPI AGSensors1424-82202012-03-011233627364010.3390/s120303627Scattering Removal for Finger-Vein Image RestorationJinfeng YangBen ZhangYihua ShiFinger-vein recognition has received increased attention recently. However, the finger-vein images are always captured in poor quality. This certainly makes finger-vein feature representation unreliable, and further impairs the accuracy of finger-vein recognition. In this paper, we first give an analysis of the intrinsic factors causing finger-vein image degradation, and then propose a simple but effective image restoration method based on scattering removal. To give a proper description of finger-vein image degradation, a biological optical model (BOM) specific to finger-vein imaging is proposed according to the principle of light propagation in biological tissues. Based on BOM, the light scattering component is sensibly estimated and properly removed for finger-vein image restoration. Finally, experimental results demonstrate that the proposed method is powerful in enhancing the finger-vein image contrast and in improving the finger-vein image matching accuracy.http://www.mdpi.com/1424-8220/12/3/3627/image restorationfinger-veinscattering removaloptical model
spellingShingle Jinfeng Yang
Ben Zhang
Yihua Shi
Scattering Removal for Finger-Vein Image Restoration
Sensors
image restoration
finger-vein
scattering removal
optical model
title Scattering Removal for Finger-Vein Image Restoration
title_full Scattering Removal for Finger-Vein Image Restoration
title_fullStr Scattering Removal for Finger-Vein Image Restoration
title_full_unstemmed Scattering Removal for Finger-Vein Image Restoration
title_short Scattering Removal for Finger-Vein Image Restoration
title_sort scattering removal for finger vein image restoration
topic image restoration
finger-vein
scattering removal
optical model
url http://www.mdpi.com/1424-8220/12/3/3627/
work_keys_str_mv AT jinfengyang scatteringremovalforfingerveinimagerestoration
AT benzhang scatteringremovalforfingerveinimagerestoration
AT yihuashi scatteringremovalforfingerveinimagerestoration