Intensity Variation Normalization for Finger Vein Recognition Using Guided Filter Based Singe Scale Retinex
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, ther...
Main Authors: | Shan Juan Xie, Yu Lu, Sook Yoon, Jucheng Yang, Dong Sun Park |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/15/7/17089 |
Similar Items
-
Finger-Vein Image Enhancement Using a Fuzzy-Based Fusion Method with Gabor and Retinex Filtering
by: Kwang Yong Shin, et al.
Published: (2014-02-01) -
Retinex algorithm for image enhancement based on adaptive bilateral filtering
by: Li Dajun, et al.
Published: (2018-03-01) -
A Novel Retinex Algorithm and its Application to Fog-degraded Image Enhancement
by: Xueyou Hu, et al.
Published: (2014-07-01) -
Image Enhancement for Surveillance Video of Coal Mining Face Based on Single-Scale Retinex Algorithm Combined with Bilateral Filtering
by: Lei Si, et al.
Published: (2017-06-01) -
Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images
by: Changli Li, et al.
Published: (2020-01-01)