Study of hand-dorsa vein recognition
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Multi-expression face recognition using neural networks and feature approximation
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Face recognition based on local steerable feature and random subspace LDA
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Image analysis with local binary patterns
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Texture features in facial image analysis
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Block-based Deep Belief Networks for face recognition
International Journal of Biometrics
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Recently, we proposed a novel facial representation for face recognition based on Local Binary Pattern (LBP) features. We obtained excellent results when dividing the face images into several regions from which the LBP features are extracted and concatenated into an enhanced feature vector as a face descriptor. However, it was unclear whether the obtained results were due to the use of local regions (instead of a holistic approach) or to the discriminative power of LBP. In this work, we investigated this issue by adopting and comparing four different texture features when using the appearances of local regions. The experimental results clearly showed and confirmed the validity of using LBP for face description.