DCA: An Approach for Face Recognition through Component Analysis

被引：0

作者：

Shamna, P. ^{[1
]}

Tripti, C. ^{[1
]}

Augustine, Paul ^{[1
]}

机构：

[1] Rajagiri Sch Engn & Technol, Dept Comp Sci, Kochi 39, Kerala, India

来源：

2013 THIRD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC 2013) | 2013年

关键词：

Face Recognition; PCA; Difference Component Analysis(DCA); Image Processing; Pattern Recognition;

D O I：

10.1109/ICACC.2013.14

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The developments in digital technologies is enhancing the communication between computers and human. Face recognition is a vital technique that helps to develops user friendly methods for Human Computer Interaction (HCI). In this paper we suggest a pattern recognition method using Difference Component Analysis (DCA) and present its application in face recognition. The DCA removes all the general features of images and compute the difference components of the images. The DCA is based on the principle that two similar images will have least difference components. Simulation of DCA is done by using Yale face database and AT&T face database. The experimental results indicate that, the presented approach is remarkably effective in recognizing faces under different conditions.

引用

页码：34 / 38

页数：5

共 10 条

[1]

[Anonymous], 2011, 2011 IEEE INT C AUTO, DOI 10.1109/FG.2011.5771457

[2] Face recognition by independent component analysis [J].

Bartlett, MS ;

Movellan, JR ;

Sejnowski, TJ .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (06) :1450-1464

[3] Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection [J].

Belhumeur, PN ;

Hespanha, JP ;

Kriegman, DJ .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) :711-720

[4]

Etemad K., 1996, AC SPEECH SIGN PROC, V4, DOI [10.1109/ICASSP.1996.545741, DOI 10.1109/ICASSP.1996.545741]

[5] LOW-DIMENSIONAL PROCEDURE FOR THE CHARACTERIZATION OF HUMAN FACES [J].

SIROVICH, L ;

KIRBY, M .

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1987, 4 (03) :519-524

[6]

Turk M. A., 1991, Proceedings 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (91CH2983-5), P586, DOI 10.1109/CVPR.1991.139758

[7]

Yang MH, 2000, IEEE IMAGE PROC, P37, DOI 10.1109/ICIP.2000.900886

[8]

Zhang Daoqiang, 2006, PATTERN RECOGNITION

[9] Face recognition: A literature survey [J].

Zhao, W ;

Chellappa, R ;

Phillips, PJ ;

Rosenfeld, A .

ACM COMPUTING SURVEYS, 2003, 35 (04) :399-459

[10] Discriminant analysis of principal components for face recognition [J].

Zhao, W ;

Chellappa, R ;

Krishnaswamy, A .

AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS, 1998, :336-341

← 1 →