基于PCA和Fisher线性判别技术的人脸识别算法

Face Recognition Algorithm Based on PCA and Fisher Linear Discriminant Technology

人脸识别技术是生物特征识别技术的一种,它根据人脸来识别人的身份。人脸识别技术具有准确、经济、可扩展性良好等特点,更重要的是,它比其它生物特征识别技术更加简便、直观、可靠。现在应用于人脸识别的算法有3种:基于PCA的人脸识别算法、基于Fisher线性判别的人脸识别算法、基于LBP特征的人脸识别算法。对前两种算法进行了深入研究,在人脸数据库上进行识别,取得了预期效果。

Face recognition technology is a biometric identification technology, which is based on face to distinguish the person＇s identity. Face recognition technology has features such as accurate, economical, good scalability, etc, and more importantly, it is more convenient , intuitive and reliable than other biometrie technologies. Now there are three kinds of face recognition algorithm：face recognition algorithm based on PCA,face recognition algorithm based on fisher linear discriminant,face recognition algorithm based on LBP features. Study on the the first two algorithms deeply, distinguished the face database, and achieved the expected results. Key Words： Face Recognition; PCA ; K-L Transform ;Fisher Linear Discriminant