Histogram remapping as a preprocessing step for robust face recognition
WSEAS Transactions on Information Science and Applications
Image normalization techniques for robust face recognition
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Morphological background detection and enhancement of images with poor lighting
IEEE Transactions on Image Processing
Enhanced local texture feature sets for face recognition under difficult lighting conditions
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Discriminant phase component for face recognition
Journal of Electrical and Computer Engineering
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As an extension to prior work by the authors in the area of photometric normalisation for face verification, we apply these algorithms in a component-based framework. In particular, we investigate how the requirement for complexity of the normalisation changes when smaller image patches are used. We show that for smaller image patches, a simpler normalisation can out-perform a more complicated method. In addition, we show that a method that applies a simpler normalisation to a number of smaller face image components that are then fused, out-performs a more complicated method applied to the full face image.