High Resolution Face Image Recognition Based on Skin Texture Feature

This paper proposes a novel high resolution face recognition method based on skin texture feature.In this method,texture features are extracted based on facial contour,and Gabor wavelets are exploited to extractive skin texture features.It introduces a feature matching algorithm based on texture regional relevance.The proposed method is evaluated on the experiment of FRGC v2.0 and obtains 97.8% verification rate at False Accept Rate(FAR) is 0.1%,which is comparable to the best known results.It shows the face recognition performance can be significantly increased with the use of high resolution image.

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