为了准确高效地提取手指静脉纹路，提出一种新的基于方向滤波的手指静脉纹路提取方法。该方法结合静脉纹路特点设计手指静脉图像的方向图及方向滤波器，根据所得的方向图及方向滤波器对图像进行滤波增强，对增强后的图像提取手指静脉模式。与传统的二值化方法相比，在进行二值化操作前，先对图像进行方向滤波处理，使得该方法提取出的手指静脉纹路连通性与光滑性好、噪声与伪特征少，且其不仅对高质量图像能够准确有效地提取出静脉纹路，对低质量图像处理效果也比较理想。

To extract finger vein features effectively and efficiently, a novel algorithm based on oriented filter for finger vein extraction is proposed. According to the characteristics of finger vein, the proposed algorithm generates a directional image of the finger vein image and a group of oriented filters, with which to filter the image depending on the orientation of the local ridge. Finally, finger vein feature is extracted from the enhanced image. Our method extends traditional image segmentation methods, by extracting vein object from the oriented filter enhanced image. Experimental results show that, apart from smoothness and continuity or removal of noise and pseudo-vein characteristics, the method proposed in this paper extracts vein features effectively not only from the high-quality images but also from the low-quality vein images.