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.
|Publisher||IEEE Computational Intelligence Society|
|Conference||Biometrics Symposium 2007 at The Biometrics Consortium Conference|
|Period||11/09/07 → 13/09/07|
|Other||11-13 Sep 2007|