基于模块化2D-LDA的视频监控中的人脸识别算法

Face Recognition Algorithm Based on Modular 2D-LDA in Video Monitoring

提出了一种基于扩展二维线性判别分析的人脸识别算法.通过扩充人脸样本,提高了人脸识别的性能.同时在视频监控的实际应用环境中进行了仿真,仿真结果表明,改进后的算法在性能和人脸识别精确度方面有了较大的提高.

This paper proposes a kind of face recognition algorithm based extended two-dimensional linear discriminant analysis method which improves the face recognition performance through the expansion of facesamples. At the same time, through the simulation in the practical application environment of video monitoring, the result shows the improved algorithm has a larger increases in the performance and the accuracy offace recognition.