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A Literature Review on Image and Emotion Recognition: Proposed Model

  • Neelamadhab PadhyEmail author
  • Sudhanshu Kumar Singh
  • Anshu Kumari
  • Aman Kumar
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 160)

Abstract

This primary focus of this literature review is to build an image detection and emotion detection and recognition. It will analyze image content as well as the facial expression of the input image. Actions, behaviours, facial expressions, poses are considered as channels, and this channel helps to convey human’s emotion. This paper has a prototype system which will automatically detect emotion represented on the face. For classifying the universal emotions, like sadness, anger, happiness, disgust, fear and surprise, an image processing combined with a neural network-based solution will be used. A coloured image containing face of human is given as an input and after the face is detected, image processing based on feature extraction method is used and the set of different values are obtained, after processing and the values which are extracted are given as an input to the neural network for image and emotion detection. We have also applied an evolutionary algorithm to enhance the feature selection of the image.

Keywords

Emotion classification Image description Proposed model 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Neelamadhab Padhy
    • 1
    Email author
  • Sudhanshu Kumar Singh
    • 1
  • Anshu Kumari
    • 1
  • Aman Kumar
    • 1
  1. 1.Department of Computer ScienceGIET UniversityGunupurIndia

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