Li Haigang, Zhang Qian, Li Chengdong
Technol Health Care. 2015;23 Suppl 2:S343-53. doi: 10.3233/THC-150971.
As a new authentication method developed years ago, vein recognition technology features the unique advantage of bioassay.
This paper studies the specific procedure for the extraction of hand back vein characteristics.
There are different positions used in the collecting process, so that a suitable intravenous regional orientation method is put forward, allowing the positioning area to be the same for all hand positions. In addition, to eliminate the pseudo vein area, the valley regional shape extraction operator can be improved and combined with multiple segmentation algorithms. The images should be segmented step by step, making the vein texture to appear clear and accurate. Lastly, the segmented images should be filtered, eroded, and refined. This process helps to filter the most of the pseudo vein information.
Finally, a clear vein skeleton diagram is obtained, demonstrating the effectiveness of the algorithm.
This paper presents a hand back vein region location method. This makes it possible to rotate and correct the image by working out the inclination degree of contour at the side of hand back.
静脉识别技术作为多年前开发的一种新的认证方法，具有生物测定的独特优势。
本文研究手背静脉特征提取的具体过程。
采集过程中使用不同的位置，从而提出一种合适的静脉区域定位方法，使所有手部位置的定位区域相同。此外，为了消除伪静脉区域，可以改进谷区域形状提取算子并与多种分割算法相结合。图像应逐步分割，使静脉纹理清晰准确。最后，对分割后的图像进行滤波、腐蚀和细化。这个过程有助于过滤掉大部分伪静脉信息。
最终获得了清晰的静脉骨架图，证明了该算法的有效性。
本文提出了一种手背静脉区域定位方法。通过计算手背侧面轮廓的倾斜度，可以对图像进行旋转和校正。
