为了实现低成本智能门禁/监控系统的需要，设计了基于S3C2440处理器的人脸识别平台，对该平台所采用的采集/显示驱动算法和人脸识别算法进行研究。使用Samsung公司的S3C2440处理器和OmniVision公司的OV9650摄像头组成硬件平台，利用Harris算法提取采集到的人脸图像的特征点，并与数据库中已有的数据进行匹配得出相关信息。为了加快人脸图像实时采集-匹配的速度，平台开启了cache加速程序。使用该平台设计的智能门禁/监控系统，实现了对人脸图像的快速识别，并且结构简单，成本低廉。该平台可以满足门禁和监控等场合的需要。

To realize the need of low-cost intelligent access control/monitoring system,this paper designs the platform of the face recognition based on S3C2440 processor and researches the acquisition/display driver algorithms and face recognition algorithm based on the platform.Using Samsung's S3C2440 processor and OmniVision's OV9650 camera to build the hardware platform,the feature points of human face images is extracted by Harris algorithm, and the data in the database is matched to draw relevant information. In order to accelerate real-time facial image capture-matching the speed of the platform,the cache is opened to accelerate the program.The platform is designed using intelligent access control/monitoring systems to achieve the rapid identification of facial images,a simple structure and low cost.It meets the need of monitoring applications.