Title

A Novel Algorithm For Simultaneous Face Detection And Recognition

Abstract

Face detection and recognition has been introduced in many real world applications. Several algorithms have been implemented for either detection or recognition. In this paper, a novel algorithm, which simultaneously detects and recognizes facial images employing the same method, is presented. The proposed algorithm is based on a new 2D representation for the Histogram of Oriented Gradients (2D-HOG) in conjunction with 2DPCA for feature extraction. Experimental results conducted on existing datasets, FERET, ORL, UMIST, JAFFE, and MIT-CMU, achieved better accuracy and running time compared with existing techniques. © 2012 IEEE.

Publication Date

10-16-2012

Publication Title

Midwest Symposium on Circuits and Systems

Number of Pages

670-673

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/MWSCAS.2012.6292109

Socpus ID

84867311593 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84867311593

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