access icon free Combined features for face recognition under illumination variation

A robust face recognition method that utilises a set of combined features is proposed to effectively conduct face recognition with images taken under diverse illumination variations. This method extracts discriminant features from different methods, both of which have different characteristics. To exploit the respective advantage of each method, the respective discriminability of the features extracted by each method is measured based on the discriminant distance criterion of each method. The experimental results show that the proposed features result in improved recognition performance under illumination variation.

Inspec keywords: feature extraction; face recognition

Other keywords: illumination variation; robust face recognition method; feature extraction

Subjects: Image recognition; Computer vision and image processing techniques

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