摘要
为了节省考前考生信息核对的时间和提高其准确性,提出一种基于FPGA和DM6437框架的智能人脸识别系统。FPGA和DM6437组成了系统的硬件平台并负责图像的采集、预处理和图像识别算法的实现,人脸识别过程由肤色检测和改进最近邻法来完成。通过系统的硬件平台支持和人脸识别算法的植入,可以快速地分割出视频中人脸图像,并识别图像中人物身份。该系统具有高性能和高可靠性的特点,可以应用在各种类型的考场上。
To save the check time of examinees＇ information before examination and to improve the accuracy, an intelligent face recognition system based on FPGA and DM6437 framework is put forward. FPGA and DM6437 make up the system hardware platform, and are used for image collection, pre-processing and the realisation of image recognition algorithm. Face recognition process is completed by the complexion detection and the improved nearest-neighbour search. Through the support by system hardware platform and the implantation of face recognition algorithm, the system can quickly segment the face image in the video, and identify the identity of the figure in the image. The system has high oerformance and high reliability ,can be used in various types of examination hall.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第8期214-216,241,共4页
Computer Applications and Software
关键词
图像处理
肤色检测
改进最近邻法
人脸识别
Image processing Complexion detection Improved nearest-neighbour search Face recognition
