基于FLD和2DPCA相融合技术的人脸识别  

Human Face Recognition on the FLD and 2DPCA Fusion Technology

作　　者：隋广洲[1] 弓满锋[1] 李治国 

机构地区：[1]湛江师范学院机电工程系 [2]大连91550部队指控中心

出　　处：《装备制造技术》2011年第4期89-92,共4页Equipment Manufacturing Technology

摘　　要：基于Fisher线性鉴别分析法(FLD)和二维主成分分析法(2DPCA)的基本原理和特点,利用融合算法提出一种基于两种算法相融合的人脸识别新方法,在人脸学习和人脸测试两个阶段,分别利用FLD和2DPCA两种算法来实现,突出FLD分类中的类间距离,该方法不仅可以提高不同类别间的区别与清晰度,而且具有响应时间短、识别率高的突出优点。The basic theory and advantage of FLD and 2DPCA methods are introduced in this paper,two algorithms are fused to present a new recognition technology about Human Face Recognition problems..The FLD method was applied to realize the Human Face Learning stage and the 2DPCA to the Human Face Testing stage,which protruded the distance between class distance of the FLD classifies.This method not only contributes to making the distinction between difference groups and improving image definition,but also has the advantage of high recognition rate and shot response time.

关 键 词：人脸识别 FLD 2DPCA 融合技术 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]