Title

A Quantized/Truncated Transform Domain Technique (Qtd) For Fast Facial Recognition

Abstract

A Quantized/truncated Transform Domain technique (QTD) is presented in this paper for facial recognition, suitable particularly for large data bases. The algorithm has attractive properties with respect to storage requirements and computational complexity in both the training and testing modes. The new algorithm is applied to both ORL and Yale data bases using Discrete Cosine Transform (DCT). The experimental results confirm the significant reduction in the storage and computational requirements while maintaining a high recognition accuracy rate. © 2011 IEEE.

Publication Date

10-13-2011

Publication Title

Midwest Symposium on Circuits and Systems

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/MWSCAS.2011.6026329

Socpus ID

80053631806 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/80053631806

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