人脸识别技术在访客识别系统中的应用

Application of face recognition in visitors identification system

访客识别系统已成为小区安防系统的重要组成部分,为此本文研究并开发了一种基于人脸面部特征的小区智能访客识别系统。该系统在已有的PCA人脸识别算法的基础上,采用了KL投影和奇异值分解双特征的人脸识别方法。实验结果表明,二者有效利用能大大提高访客身份识别的正确率。由于该系统结构简单,所需设备均为常用设备,因此具有较好的应用前景。

The visitors identification has become a very important part of safeguard system of intelligent community. Therefore, this paper studies and develops the intelligent visitors identification system based on face feature. Based on the proposed PCA algorithm, an improving face recognition approach is presentea by using KL projection and singular value decomposition. With the effective utilization of both, experimental results shows that the improved algorithm has high detection accuracy. The system is easy to constitute and the equipment needed is common, so it has great utility.