A Robust Face Representation Method for Face Recognition

Zhao Kui Li

doi:10.4028/www.scientific.net/AMR.945-949.1801

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949A Robust Face Representation Method for Face...

A Robust Face Representation Method for Face Recognition

Abstract:

In this paper, a robust face representation method based on multiple gradient orientations for face recognition is proposed. We introduce multiple gradient orientations and compute multiple orientation images which display different spatial locality and orientation properties. Each orientation image is normalized using the “z-score” method, and all normalized vectors are concatenated into an augmented feature vector. The dimensionality of the augmented feature vector is reduced by linear discriminant analysis to yield a low-dimensional feature vector. Experimental results show that our method achieves state-of-the-art performance for difficult problems such as illumination and occlusion-robust face recognition.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1801-1804

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1801

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Online since:

June 2014

Authors:

Zhao Kui Li*

Keywords:

Face Recognition, Face Representation Method, Linear Discriminant Analysis, Multiple Gradient Orientations

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