Recently various approaches for extracting facial features to recognize facial expression have recently gained importance in the field of human-robot interaction. Facial expressions like happy, anger, sad, surprise are contributing towards representing human behavior. This paper presents a most important technique i.e. Histogram of Oriented Gradient (HOG) for feature extraction. Classifiers like K-NN, SVM are proposed for recognition. MATLAB 2018(a) software, in Windows 10, 64-bit operating system is used for implementation.


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    Title :

    Analysis of Facial Expression Recognition using Histogram of Oriented Gradient (HOG)


    Contributors:


    Publication date :

    2019-06-01


    Size :

    2615368 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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