In this paper, a living dorsal hand vein identification method based on acquisition near infrared image of dorsal hand vein and pulse at the same time and recognition algorithm is proposed. An experimental prototype device is designed and built with 850 nm LEDs and a CCD camera, which realizes the simultaneous acquisition of dorsal hand vein and finger pulse information. Then, the characteristics and differences of near-infrared signals between prosthesis and living body over time were studied with 20 prostheses and 20 living bodies, which verified the effectiveness of the rapid detection method of photoelectric volume living pulse. On this basis, 900 vein images of 45 living bodies are captured, and the influence of palm position and the algorithm to improve the accuracy of vein recognition are studied. Combing with rotation and translation correction method, PLBP and SVM algorithm, the recognition accuracy reaches 99.33%.

提出了一种基于同时采集手背静脉和脉搏近红外图像和识别算法的活手背静脉识别方法。设计并使用850 nm LED和CCD摄像机设计并制造了一个实验原型设备，该设备可同时采集手背静脉和手指脉搏信息。然后，以20个假体和20个活体为研究对象，研究了假体与活体之间近红外信号随时间的变化特征和差异，验证了光电体积活脉波快速检测方法的有效性。在此基础上，采集了45个活体的900张静脉图像，研究了手掌位置的影响以及提高静脉识别精度的算法。