Journal
NEUROCOMPUTING
Volume 71, Issue 16-18, Pages 3534-3543Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2007.09.013
Keywords
Supervised linear dimensionality reduction; Face difference model; Discriminant projection embedding; Face recognition; Palmprint recognition
Categories
Funding
- National Natural Science Foundation (NNSF) [60573148]
- Specialized Research Fund for the Doctoral Program of Higher Education [SRFDP-20060003102]
Ask authors/readers for more resources
In this paper, we propose a new supervised linear dimensionality reduction method called discriminant projection embedding (DPE). DPE can preserve within-class neighboring geometry and extract between-class relevant structures for classification effectively. The proposed method is applied to face and palmprint recognition and is examined using the AR and FERET face databases and the PolyU palmprint database. Experimental results show that DPE consistently outperforms other up-to-date supervised linear dimensionality reduction methods when the training sample size per class is small. This demonstrates the effectiveness and robustness of DPE. (C) 2007 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available