Title
A Facial Recognition Technique Employing Frequency Domain Thresholding And Quantization (Fd-Tq)
Abstract
A facial recognition technique employing Frequency Domain Thresholding and Quantization (FD-TQ) is presented in this paper. The algorithm has attractive properties with respect to storage requirements and computational complexity in both the training and testing modes, which make the technique particularly suitable for large data bases. The new algorithm is applied to ORL, Yale and FERET data bases. The experimental results confirm the significant reduction in the storage and computational requirements compared with recently reported techniques, without sacrificing the recognition accuracy. © 2012 IEEE.
Publication Date
10-16-2012
Publication Title
Midwest Symposium on Circuits and Systems
Number of Pages
1032-1035
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/MWSCAS.2012.6292199
Copyright Status
Unknown
Socpus ID
84867327152 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84867327152
STARS Citation
Alrasheed, Waleed and Mikhael, Wasfy B., "A Facial Recognition Technique Employing Frequency Domain Thresholding And Quantization (Fd-Tq)" (2012). Scopus Export 2010-2014. 4653.
https://stars.library.ucf.edu/scopus2010/4653