A Robust Image Preprocessing Algorithm for Face Recognition

Yan Wang; Zhao Kui Li

doi:10.4028/www.scientific.net/AMR.989-994.4205

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Robust Image Preprocessing Algorithm for Face...

A Robust Image Preprocessing Algorithm for Face Recognition

Abstract:

In order to obtain more robust face recognition results, the paper proposes an image preprocessing method based on average gradient angle (AGA). It is based on the fact that the central pixel and its neighbors are similar in the local window of an image. AGA firstly calculates the ratio between the relative intensity differences of a current pixel against its neighbors and the number of its neighbors, then employs the arctangent function on the ratio. The dimensionality of the AGA image is reduced by linear discriminant analysis to yield a low-dimensional feature vector. Experimental results show that the proposed method achieves more robust results in comparison with state-of-the-art methods in AR face database.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4205-4208

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4205

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Online since:

July 2014

Authors:

Yan Wang*, Zhao Kui Li

Keywords:

Average Gradient Angle, Face Recognition, Image Preprocessing, Robust Dissimilarity

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* - Corresponding Author

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