Face recognition based on feature selection strategy

被引：0

作者：

Tang, Hengliang ^{[1
,2
]}

Sun, Yanfeng ^{[1
]}

Zhu, Jie ^{[2
]}

Zhao, Mingru ^{[1
,2
]}

机构：

[1] Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Transportation Engineering, Beijing University of Technology, Beijing

[2] Beijing Key Laboratory of Intelligent Logistics System, School of Information, Beijing Wuzi University, Beijing

来源：

Journal of Information and Computational Science | 2014年 / 11卷 / 12期

关键词：

Face recognition; Feature extraction; Feature selection; Sparse representation;

D O I：

10.12733/jics20104386

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In order to extract the effective and discriminant face features, a useful feature selection strategy is designed for face representation. The strategy can remove the facial redundancies, extract the discriminant features, promote the calculation efficiency, and also guarantee the feasibility of the recognition framework. Based on this, the sparse representation framework is improved to collect all the face features and match the recognition task. The experiments, tested on ORL, YALE, CMU-PIE and FERET face databases, demonstrate that the proposed method is effective and robust to facial pose, expression and illumination conditions to some extent. © 2014 Binary Information Press

引用

页码：4203 / 4210

页数：7

共 50 条

[41] A multi-view face recognition based on combined feature with clonal selection [J].

Liu, F ;

Li, CY .

2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, :1380-1384

[42] Boosting Color Feature Selection for Color Face Recognition [J].

Choi, Jae Young ;

Ro, Yong Man ;

Plataniotis, Konstantinos N. .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 20 (05) :1425-1434

[43] Consistent feature selection and its application to face recognition [J].

Feng Pan ;

Guangwei Song ;

Xiaobing Gan ;

Qiwei Gu .

Journal of Intelligent Information Systems, 2014, 43 :307-321

[44] Consistent feature selection and its application to face recognition [J].

Pan, Feng ;

Song, Guangwei ;

Gan, Xiaobing ;

Gu, Qiwei .

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2014, 43 (02) :307-321

[45] Harmony Search Algorithm for Feature Selection in Face Recognition [J].

Kumar, Dinesh ;

Shrutika .

COMPUTATIONAL INTELLIGENCE AND INFORMATION TECHNOLOGY, 2011, 250 :554-559

[46] Feature based Sliding Window Technique for Face Recognition [J].

Javed, Muhammad Younus ;

Mohsin, Syed Maajid ;

Anjum, Muhammad Almas .

SECOND INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING, 2010, 7546

[47] Face recognition based on monogenic feature and sparse representation [J].

Zhang, Quan-Bing ;

Huang, Xiang ;

Xu, Zheng-Yuan ;

Su, Juan .

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2014, 42 (08) :58-63

[48] An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system [J].

Kanan, Hamidreza Rashidy ;

Faez, Karim .

APPLIED MATHEMATICS AND COMPUTATION, 2008, 205 (02) :716-725

[49] SVM-based face recognition using genetic search for Frequency-Feature Subset selection [J].

Amine, Aouatif ;

Rziza, Mohammed ;

Aboutajdine, Driss .

IMAGE AND SIGNAL PROCESSING, 2008, 5099 :321-328

[50] Face Recognition Based on Random Feature [J].

Li, Shasha ;

Deng, Weihong .

2015 VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2015,

← 1 2 3 4 5 →