计算机工程2011，Vol.37Issue(5)：216-218,3.
基于特征的弹性图匹配人脸识别算法改进
Improvement of Feature-based Face Recognition Algorithm by Elastic Graph Matching
俞燕 1李正明1
作者信息
- 1. 江苏大学电气信息工程学院,江苏,镇江,212013
- 折叠
摘要
Abstract
This paper presents a new method for optimization of Elastic Graph Matching(EGM) algorithm in face recognition.After face image graph is composed of feature vector extracted from 2D Gabor wavelet, labeled graph vector is obtained.The proposed algorithm adopts the Principal Component Analysis(PCA) and FLD algorithm reduces dimensionality of labeled graph vector.In comparison with the conventional methods, the proposed approach can obtain satisfactory results in the perspectives of recognition rates and speeds.关键词
人脸识别/弹性图匹配/特征提取/主成分分析/Fisher线性判别Key words
face recognition/ elastic graph matching/ feature extraction/ Principal Component Analysis(PCA)/ Fisher Linear Discriminant(FLD)分类
信息技术与安全科学引用本文复制引用
俞燕,李正明..基于特征的弹性图匹配人脸识别算法改进[J].计算机工程,2011,37(5):216-218,3.
