针对医疗领域的手背静脉识别研究甚少的问题，提出一种用于静脉注射的手背静脉自动识别的方法。分析了静脉穿刺的特点以及适合注射的静脉条件，在近红外光下获得全局手背静脉图像的基础上，首先对图像进行预处理获得完整的细化图像，再利用改进的区域生长法分别对每条静脉进行提取和分析，最后用模板匹配法识别选择最适合穿刺的静脉部分。实验结果表明：该方法能够实现对适合注射的静脉部分进行自动识别与标注。

For the situation that there was little study on automatic recognition which was suitable for intravenous injection directly, we present a method that identifies the vein automatically. It analyzes the features of vein puncture and conditions suitable for intravenous injection. On the basis of getting global hand vein images under the near-infrared light, the improved region growing method is used to extract and analyze each of the vein. And template matching method is used to identify the most suitable part for vein puncturing. The test results show that the method can successfully identify and label the vein parts which are suitable for vein injection.