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 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.
Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China. jfyang@cauc.edu.cn
Jinfeng
J
Yang
Ben
B
Zhang
Yihua
Y
Shi
D000465:Algorithms; D005385:Fingers; D006801:Humans; D007089:Image Enhancement; D007090:Image Interpretation, Computer-Assisted; D008954:Models, Biological; D012372:ROC Curve; D014680:Veins / Q000033:anatomy & histology*