Zhiyong Gao; Haihua Liu; Xinhao Chen

International Journal of Engineering and Manufacturing (IJEM)

IJEM Vol. 1, No. 2, 8 Apr. 2011

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Combining Local Binary Patterns and Visual Attention for Face Recognition

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Author(s)

Zhiyong Gao ^1,* Haihua Liu ¹ Xinhao Chen ¹

1. College of Biomedical Engineering, South-Central University for Nationalities, Wuhan, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2011.02.12

Received: 25 Nov. 2010 / Revised: 4 Jan. 2011 / Accepted: 3 Mar. 2011 / Published: 8 Apr. 2011

Index Terms

Face recognition, local binary pattern, visual attention, saliency map

Abstract

Effectiveness of local binary pattern (LBP) for face recognition has been proven. But the weight of weighted LBP is difficult to determine. In this paper, we proposed a biologically plausible approach to set the weight automatically. Combining LBP and visual attention, a weight map can be constructed by summing over the saliency map. The weight map outlines salient information in the image and helpful for recognition. Experimental results show that the presented method is efficient and effective.

Cite This Paper

Zhiyong Gao, Haihua Liu, Xinhao Chen,"Combining Local Binary Patterns and Visual Attention for Face Recognition", IJEM, vol.1, no.2, pp.72-78, 2011. DOI: 10.5815/ijem.2011.02.12

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