|Table of Contents|

Improved Algorithm of Face Recognition Based on Weighted Wavelet Transform and 2D-PCA(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2015年02期
Page:
55-
Research Field:
计算机与信息工程
Publishing date:

Info

Title:
Improved Algorithm of Face Recognition Based on Weighted Wavelet Transform and 2D-PCA
Author(s):
Zhang MengZeng YuminLi Pengcheng
School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China
Keywords:
face recognitionweighted wavelet transform2D-PCA algorithmnearest neighbor classifier
PACS:
TP391.4
DOI:
-
Abstract:
Typically the image is converted into low and high frequency information for face recognition method based on wavelet transform,and the traditional face recognition algorithm based on the low-frequency information of wavelet transform,without making full use of high-frequency information,resulting in the loss of high frequency information. This paper presents an improved approach based on the weighted wavelet transform and 2D-PCA face recognition algorithm. Firstly,the second layer wavelet transform of image based on the two-dimensional discrete wavelet(2D-DWT),which contains low-frequency information and horizontal,vertical and diagonal high-frequency information with different weights. Then,using the two-dimensional principal component analysis(2D-PCA)method for feature extraction; finally,using the nearest neighbor classifier for classification. Experimental results based on ORL face database show the proposed approach is superior to the traditional 2D-PCD recognition algorithms,as well as 2D-DWT+2D-PCA recognition algorithms,and it performs good robustness affected by light.

References:

[1] Moghaddam B,Pentland A. Face Recognition:From Theory to Applications[M]. Berlin:Springer Verlag,1998.
[2]Li B,Liu Y. When eigenfaces are combined with wavelets[J]. Knowledge-Based Systems,2002,15(5):343-347.
[3]曹智鑫,蔡茂国,陈剑勇. 结合小波局部特征与LDA的人脸识别[J]. 电视技术,2014,38(19):184-187.
Cao Zhixin,Cai Maoguo,Chen Jianyong. Face recognition combining wavelet transform local features and LDA[J]. Television Technology,2014,38(19):184-187.
[4]何旭东. 基于小波分析与NMF人脸识别的研究与实现[D]. 南京:南京理工大学计算机科学与工程学院,2013.
He Xudong. Research and implementation of face recognition based on wavelet analysis and NMF[D]. Nanjing:College of Computer Science and Engineering,Nanjing University of Science and Technology,2013.
[5]苏士美,王燕,王明霞. 基于加权小波分解的人脸识别算法研究[J]. 郑州大学学报:工学版,2014,35(1):5-9.
Su Shimei,Wang Yan,Wang Mingxia. Research of face recognition based on weighted wavelet decomposition[J]. Journal of Zhengzhou University:Engineering Science Edition,2014,35(1):5-9.
[6]刘秀丽,彭复员. 基于小波变换的加权特征脸识别算法[J]. 计算机应用研究,2007,24(10):163-165.
Liu Xiuli,Peng Fuyuan. The weighted feature face recognition algorithm based on wavelet transform[J]. Application Research Of Computers,2007,24(10):163-165.
[7]Kirby M,Sirovich L. Application of the Karhunen-Loeve procedure for the characterization of human faces[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1990,12(1):103-108.
[8]M Turk A P. Eigenfaces for recognition[J]. Journal of Cognitive Neuroscience,1991,3(1):71-86.
[9]Yang M. Kernel eigenfaces vs. Kernel fisherfaces:face recognition using kernel methods[C]//Fifth IEEE International Conference on Automatic Face and Gesture Recognition. IEEE,2002:215-220.
[10]Gottumukkal R,Asari V. An improved face recognition technique based on modular PCA approach[J]. Pattern Recognition Letters,2004,25(4):429-436.
[11]J Y,D Z,AF F,et al. Two-dimensional PCA:a new approach to appearance-based face representation and recognition[J]. IEEE Trans Pattern Anal Mach Intell,2004,26(1):131-137.
[12]侯建华,牟海军,罗艳,等. 基于MMP-2DPCA的人脸识别方法[J]. 中南民族大学学报:自然科学版,2013,32(1):70-74.
Hou Jianhua,Mou Haijun,Luo Yan,et al. Face recognition method based on MMP-2D-PCA[J]. Journal of Central South University for Nationalities:Natural Science Edition,2013,32(1):70-74.
[13]翟俊海,翟梦尧,王华超. 基于小波变换和2DPCA的人脸识别[J]. 河北大学学报:自然科学版,2010,30(5):574-579.
Zhai Junhai,Zhai Mengyao,Wang Huachao. Face recognition based on wavelet transform and 2D-PCA[J]. Journal of Hebei University:Natural Science Edition,2010,30(5):574-579.
[14]周国民,陈勇,李国军. 人脸识别中应用小波变换的两个关键问题[J]. 浙江大学学报:理学版,2005,32(1):34-38.
Zhou Guomin,Chen Yong,Li Guojun. Two key problems in face recognition using wavelet transform[J]. Journal of Zhejiang University:Sciences Edition,2005,32(1):34-38.
[15]林克正,李艳芳,辛晨. 基于2D-DWT与FLD的人脸识别算法[J]. 计算机工程,2011,37(11):195-196.
Lin Kezheng,Li Yanfang,Xin Chen. Face recognition algorithm based on 2D-DWT and FLD[J]. Computer Engineering,2011,37(11):195-196.
[16]吴献超,刘莎,闫琳,等. 基于小波子带能量加权的人脸识别方法[J]. 宁波大学学报:理工版,2009,22(2):207-211.
Wu Xianchao,Liu Sha,Yan Lin,et al. Face recognition method based on the wavelet subband energy weighted[J]. Journal of Ningbo University:Natural Science & Engineering Edition,2009,22(2):207-211.

Memo

Memo:
-
Last Update: 2015-06-20