Illumination normalization based on simplified local binary patterns for a face verification system


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Tao, Q. and Veldhuis, R.N.J. (2007) Illumination normalization based on simplified local binary patterns for a face verification system. In: Biometrics Symposium 2007 at The Biometrics Consortium Conference, 11-13 Sep 2007, Baltimore, Maryland.

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Abstract:Illumination normalization is a very important step in face
recognition. In this paper we propose a simple implementation of Local Binary Patterns, which effectively reduces the variability caused by illumination changes. In combination with a likelihood ratio classifier, this illumination normalization method achieves very good recognition performance, with respect to both discrimination and generalization. A user verification system using this method has been successfully implemented on a mobile platform.
Item Type:Conference or Workshop Item
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/64487
Official URL:http://dx.doi.org/10.1109/BCC.2007.4430537
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Metis ID: 245801