Paper Info
Title
A Wavelet Domain Implementation of Sparse Representation Method for Face Recognition
Abstract
Recently, a new discriminative sparse representation method for robust face recognition via l(2) regularization (NDSRFR) was published. In this paper, a Wavelet domain (WDNDSRFR) is presented. In particular, the Two-Dimensional Discrete Wavelet Transform implementation is given and shown to considerably reduce the computational complexity and the storage requirements while maintaining the recognition accuracy of the NDSRFR. Extensive simulations were performed on five face databases, namely, ORL, YALE, FERET, Cropped AR, and Georgia Tech and the enhanced properties of the WDNDSRFR are confirmed as shown in the given sample results.
Year
DOI
Venue
2018
10.1109/mwscas.2018.8623943
Midwest Symposium on Circuits and Systems Conference Proceedings
Field
DocType
ISSN
Facial recognition system,Georgia tech,Pattern recognition,Computer science,Sparse approximation,Electronic engineering,Regularization (mathematics),Artificial intelligence,Discrete wavelet transform,Discriminative model,Wavelet,Computational complexity theory
Conference
1548-3746
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Taif Alobaidi113.06
Wasfy B. Mikhael27676.27