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- W3037108596 abstract "A Facial Feature point analysis and face feature categorization is essentialprocedure in face recognition and facial emotion recognition. Facial emotionrecognition is utilized in security systems, government application, academic applications. Currently, facial emotion recognition system identifiesdifferentexpressions from face like happy, sad, disgust, neutral, angry, fear, surprise and contempt. This facial emotion recognition technique used forhugesizeinformationcollectioncapturedbelow independent lightning conditionsand different emotions of face. The suggested facial emotion recognitionsystem exists hybridization of Histogram of Gradient (HOG), Local Binary Pattern (LBP), Gabor Wavelet feature (GFeature), and Discrete CosineTransform (DCT) for facial key point identification. Facial key points are extracted using this hybrid method. The proposed method uses the kaggledataset which has 3,386 sample images of 1,711 people having eight expression of each person with variation is facial emotions. Using this database, weare extracting 157 feature points and we will extract some important features among them for further classification. The performance of feature pointdetection is achieving good using this hybrid method." @default.
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- W3037108596 date "2020-01-01" @default.
- W3037108596 modified "2023-09-23" @default.
- W3037108596 title "Face Feature point detection using hybrid method" @default.
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