Face Recognition using a New Texture Representation of Face Images
نویسنده
چکیده
In this paper, we present a new texture representation of face image using a robust feature from the Trace transform. The masked Trace transform (MTT) offers “texture” information for face representation which is used to reduce the within-class variance. We first transform the image space to the Trace transform space to produce the MTT. Weighted Trace transform (WTT) identifies the tracing lines of the MTT which produce similar values irrespective of intraclass variations. A new distance measure is proposed by incorporating the WTT for measuring the dissimilarity between reference and test images. Our method is evaluated with experiments on AR face database.
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