桂林电子科技大学学报Issue(5)：382-385,4.
基于弧形 Gabor 小波的人脸识别
Face recognition based on the curve Gabor wavelet
摘要
Abstract
In order to solve the problem of face feature incompletely extracted by Gabor wavelet,a curvature parameter is added to structure curve Gabor wavelet(CGW)for obtaining more effective face features.Face features are taken through CGW on 5 scales and 1 6 directions.Then principal component analysis (PCA)method is used to select the features and re-duce dimensionality.Finally the nearest neighbor method is used to classify.Five images for everyone in the ORL database is chosen to train,and the other five images is used to test.The experimental results show that CGW has better recognition.关键词
人脸识别/弧形/Gabor 小波/主成分分析Key words
face recognition/curve/Gabor wavelet/PCA分类
信息技术与安全科学引用本文复制引用
曾泽兴,曾庆宁,马金龙,曾儿孟,田柯..基于弧形 Gabor 小波的人脸识别[J].桂林电子科技大学学报,2015,(5):382-385,4.基金项目
国家科技支撑计划(2012BAH20B01,2014BAK11B02) （2012BAH20B01,2014BAK11B02）
国家自然科学基金(61461011,41201479) （61461011,41201479）
广西自然科学基金(2014GXNSFBA118273,2013GXNSFAA019326) （2014GXNSFBA118273,2013GXNSFAA019326）
广西教育厅科研项目(2013YB092) （2013YB092）
