Finger-Vein Image Restoration Considering Skin Layer Structure

Abstract

Recently, finger-vein recognition has been studied extensively for personal identification. Since veins exist inside the finger, the finger-vein images are often not in high quality due to light scattering and absorption of the skin tissue. According to the optical properties of the biological tissues, the multilayered human skin is a kind of inhomogeneous medium, and different skin layers hold different optical properties. Therefore, this paper focuses on finger-vein image restoration considering the layered skin structure. First a Gaussian-PSF model is used to restore the finger-vein images degraded by the camera lens. Then, two depth-PSF models are built to further restore the images considering the optical properties of skin layers. Third, a fused finger-vein image is generated by the combination of the depth-depended restored images. Finally, experimental results show that the proposed method exhibits an exciting performance in finger-vein image quality improvement.