Face Detection Keypoints Using Dct And Clahe
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Abstract
The research was used to overcome illuminations on facial images are continuing. This testing was related to the level of illumination variation, which was one of the important factors that given an effect on the accuracy of face detection keypoints. The dataset used for this study was taken from the front side of the object. The detection result quality of the datasets will be improved by handling the illumination variations using the DCT algorithm and the CLAHE algorithm. In the process of handling the illumination’s problem, the accuracy result of five feature detectors in detecting facial keypoints were also evaluated. The research parameters to be calculated consist of recall, precision, and F-score. Testing is needed to prove that the F-score will increase after two images processing methods that applied. The test results proved that the combined application of DCT and CLAHE could increase the level of key point detection in the SURF algorithm.
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