A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation
Joint Authors
Luxi, Huang
Yu, Xie
Jian, Zhao
Jian, Jia
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A relatively fast pursuit algorithm in face recognition is proposed, compared to existing pursuit algorithms.
More stopping rules have been put forward to solve the problem of slow response of OMP, which can fully develop the superiority of pursuit algorithm—avoiding to process useless information in the training dictionary.
For the test samples that are affected by partial occlusion, corruption, and facial disguise, recognition rates of most algorithms fall rapidly.
The robust version of this algorithm can identify these samples automatically and process them accordingly.
The recognition rates on ORL database, Yale database, and FERET database are 95.5%, 93.87%, and 92.29%, respectively.
The recognition performance under various levels of occlusion and corruption is also experimentally proved to be significantly enhanced.
American Psychological Association (APA)
Jian, Zhao& Luxi, Huang& Jian, Jia& Yu, Xie. 2014. A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-490258
Modern Language Association (MLA)
Jian, Zhao…[et al.]. A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-490258
American Medical Association (AMA)
Jian, Zhao& Luxi, Huang& Jian, Jia& Yu, Xie. A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-490258
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490258