Abstract
Smile detection is commonly used in many devices with recent technology. For this aim, we deal with recognition of smile expression automatically. In this paper, face images with smile and neutral expression are selected from various data sets. Local Binary Patterns and Global Zernike Moments, Local Zernike Moments and Global Zernike Moments, Local Zernike Moments, Local XOR Patterns and Global Zernike Moments methods are applied and produced the results of them. Also, the results are shown comparatively.
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