| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 531206 | Pattern Recognition | 2006 | 17 Pages |
Abstract
Extensive experimentation reported in the paper suggests that the proposed framework provides a comprehensive solution and achieves lower error recognition rate when considered in the context of one training sample face recognition problem.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Jie Wang, K.N. Plataniotis, Juwei Lu, A.N. Venetsanopoulos,