Title

A New Fast Facial Recognition Algorithm Applicable To Large Databases

Abstract

In this contribution, a Transform Domain Two-Dimensional Principal Component Analysis algorithm employing Vector Quantization (TD2DPCA/VQ) is presented for facial recognition, particularly for large databases. The algorithm has attractive properties with respect to storage requirements in the training mode and the computational complexity in the testing mode. The experimental results obtained by applying the new algorithm to the ORL database confirmed the significant reduction in the storage and computational requirements while improving the excellent recognition accuracy of the spatial 2DPCA method. © 2006 IEEE.

Publication Date

12-1-2006

Publication Title

4th International IEEE North-East Workshop on Circuits and Systems, NEWCAS 2006 - Conference Proceedings

Number of Pages

193-196

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/NEWCAS.2006.250916

Socpus ID

34250711281 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34250711281

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