手指静脉红外图像血管网络修复新方法

由于手指静脉位于皮下，手指中的生物组织、手指解剖结构、皮肤结构成像特性等固有原因都给手指静脉成像造成不利影响。针对手指静脉图像中普遍存在的局部血管残缺问题，首次提出一种指静脉红外图像血管网络修复方法。首先，利用多尺度Gabor滤波对手指静脉图像进行增强，减少图像整体退化性模糊；然后，对指静脉图像进行二值化并提取血管骨架网，以便对血管网络缺损位置进行判断；再将提取的血管骨架端点、二分叉点作为血管骨架网络修复的源点，根据最小路径原则实现手指静脉图像血管骨架网络修复；最后，将Gabor增强方向图作为约束条件，复原血管网络的管径信息得到修复后的手指静脉二值化图像。实验结果表明:该方法可以实现手指静脉图像局部血管网络残缺修复，得到更加完整、稳定的血管网络结构，利用修复后的图像可以进一步提高手指静脉识别精度。

Novel vascular network restoration method for finger-vein IR images

For the finger-vein is under the skin, there are many inherent disadvantages for its imaging, such as biological tissues in the finger, anatomical structure, and the imaging character of skin. A novel method was proposed to solve the problem of vascular network coloboma in finger-vein IR images. Firstly, the finger-vein images were enhanced by multi-scale Gabor filter to reduce the overall image blurring. Then, the vascular skeleton network was extracted based on binarized images so as to locate the coloboma position accurately. Thirdly, the end point and the bifurcation point were extracted from the vascular skeleton network as the original point of restoration. The coloboma of the vascular skeleton network was reconstructed according to minimal path principle. Finally, the diameter of vascular network was recovered by using the Gabor directional image as a constraint. The experimental results show that this method can be used to restore local lost of vascular network and a more complete and more stable vascular network. The recognition accuracy of finger-vein images can be further improved by using the reconstructed image.