基于ARM的手指静脉识别系统的设计与实现

摘要

手指静脉识别是第二代生物认证的高端手段.为了实现识别设备的小型化,针对嵌入式系统独立运行的优点,设计并实现了一种基于ARM11和Windows CE的手指静脉识别系统.ARM11处理器从数字摄像头获取手指静脉图像,通过开发的应用软件进行图像预处理和特征提取,与建立的手指静脉图像库中的对应模板比对,完成身份认证.实验结果表明,该系统具有实时性、快速性、便携性等特点,取得了很好的识别效果.%Finger vein recognition is a high-end method of the second generation biometric identification. In order to realize the small size of equipment, aiming at independence of the embedded system, Finger vein recognition system based on ARM Hand Windows CE is designed and implemented. The finger vein images are acquired from digital camera of ARM11, and image preprocessing and feature extraction are conducted by application software, and the feature is matched with corresponding template in the database of finger vein images made by ourselves, finally identity authentication is completed. Experimental results show that the system has real-time rapidity and portability. And the method presented achieves even high recognition accuracy.