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Facial expression recognition and its applications are currently research topics in computer science. When analyzing face images, it is necessary to apply an algorithm for pre-processing them in order to extract features from each facial expression. In this paper related to our initial research phase, we propose variations and results from algorithms for binarizing and thresholding face expression images. In addition, we present earlier results about the parallel implementation of our proposed algorithms.

Thresholding Approach based on GPU for Facial Expression Recognition