Performance analysis of different Matrix decomposition methods on Face Recognition

被引：0

作者：

Jagadeesh, H. S. ^{[1
]}

Babu, Suresh K. ^{[2
]}

Raja, K. B. ^{[2
]}

机构：

[1] APSCE, Dept Elect & Commun Engn, Bengaluru, India

[2] UVCE, Dept Elect & Commun Engn, Bengaluru, India

来源：

2016 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI) | 2016年

关键词：

Biometrics; City-block distance; Euclidean distance; Extended directional binary codes; Matrix decomposition;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Applications using face biometric are ubiquitous in various domains. We propose an efficient method using Discrete Wavelet Transform (DWT), Extended Directional Binary codes (EDBC), three matrix decompositions and Singular Value Decomposition (SVD) for face recognition. The combined effect of Schur, Hessenberg and QR matrix decompositions are utilized with existing algorithm. The discrimination power between two different persons is justified using Average Overall Deviation (AOD) parameter. Fused EDBC and SVD features are considered for performance calculation. City-block and Euclidean Distance (ED) measure is used for matching. Performance is improved on YALE, GTAV and ORL face databases compared with existing methods.

引用

页数：6

共 50 条

[21] Effects of Postmortem Decomposition on Face Recognition
Cornett, David C., III
Bolme, David S.
Steadman, Dawnie W.
Sauerwein, Kelly A.
Saul, Tiffany B.
2019 IEEE 10TH INTERNATIONAL CONFERENCE ON BIOMETRICS THEORY, APPLICATIONS AND SYSTEMS (BTAS), 2019,
[22] Face recognition using principal component analysis and wavelet packet decomposition
Perlibakas, V
INFORMATICA, 2004, 15 (02) : 243 - 250
[23] Performance analysis of correlation filters used for face recognition
Bouzidi, Fatma
Charfi, Emna
Ghozzi, Fahmi
Fakhfakh, Ahmed
2015 World Congress on Information Technology and Computer Applications (WCITCA), 2015,
[24] Review of Face Recognition Methods
Yang, Wei-yi
Zhang, Hui
Song, Dong-ze
Lai, Fa-nian
2ND INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION TECHNOLOGIES AND APPLICATIONS (MSOTA 2018), 2018, : 545 - 549
[25] Classic Methods of Face Recognition
Zhang Haiyang
Li Xianwei
NANOTECHNOLOGY AND COMPUTER ENGINEERING, 2010, 121-122 : 350 - +
[26] Subspace methods for face recognition
Rao, Ashok
Noushath, S.
COMPUTER SCIENCE REVIEW, 2010, 4 (01) : 1 - 17
[27] A REVIEW OF FACE RECOGNITION METHODS
Beham, M. Parisa
Roomi, S. Mohamed Mansoor
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2013, 27 (04)
[28] Overview of Face Recognition Methods
Fang, Lingfeng
Fu, Meixia
Sun, Songlin
Ran, Qianhan
SIGNAL AND INFORMATION PROCESSING, NETWORKING AND COMPUTERS (ICSINC), 2019, 550 : 22 - 31
[29] New Methods for Face Recognition
Stastny, J.
Skorpil, V.
TSP 2010: 33RD INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING, 2010, : 156 - 159
[30] A comparative analysis of feature extraction methods for face recognition system
Nor'aini, A. J.
Raveendran, P.
Selvanathan, N.
2005 ASIAN CONFERENCE ON SENSORS AND THE INTERNATIONAL CONFERENCE ON NEW TECHNIQUES IN PHARMACEUTICAL AND BIOMEDICAL RESEARCH, PROCEEDINGS, 2005, : 176 - 181

← 1 2 3 4 5 →