基于PCA和LDA的人脸识别系统设计

Design of Face Recognition System Based on PCA and LDA

在现代社会当中,身份认证与识别问题变得尤为重要。其中,基于人脸面部特征的识别技术因其具有的突出优点脱颖而出,得到了广泛研究与应用。考虑到当前人脸识别技术遇到的相关难点,寻求了一种主成分分析(PCA)和线性判别分析(LDA)相结合的方法对人脸进行识别,并且基于LabVIEW/Matlab和摄像采集系统等软硬件设备,设计了人脸识别系统。该系统以人脸识别算法为基础,利用PC机为操作平台,通过将即时采集的人脸图像与所建立的人脸特征库比对,从而快速有效地查出已登记人员的身份信息。

In the modem society, identity authentication and recognition have become particularly important. And thanks to its outstanding advantages, the technology of recognition based on facial features stands out and has been widely researched and applied. Considering the difficulties relevant to the current face recognition technology, in this paper, a method combined principal component analysis and linear discriminant analysis was investigated. Furthermore, we designed the face recognition system on the basis of LabVIEW, Matlab and the camera acquisition system. Grounded on face recognition algorithm, this system uses PC as the operating platform and through comparing the face images collected in real-time to the constructed facial feature library, identities of the staff registered can be checked out quickly and efficiently.