Comparison Between Facial Expression Recognition Algorithms - For Effective Method

Author:

Singh Sonali1

Affiliation:

1. Vindhya Institute of Technology and Science, Satna, Madhya Pradesh, India

Abstract

Facial expression is an ancient element for identifying humans. Human behavior, thinking or mood can be easily understood through facial expression. At present, facial expression can be evaluated by algorithm based on facial expression AI. In this paper, comparative studies have been done in methods related to facial recognition and an attempt has been made to evaluate it. Previous and recent research paper has been investigated to find out the related effective method.

Publisher

Technoscience Academy

Subject

General Medicine

Reference18 articles.

1. Rishabh Bhardway etal,2015, A Review on the use of facial expression for emotion Recognition, IJSRMS, Volume 3, Issue 4.

2. Shiliange sun etal, 2019, A survey of Optimization Methods from a Machine Learning Perspective.

3. Rochak Agrawal, 2019/ http:// medium com / analysis-vidhya / optimization -algorithms – algorithms – for –deep – learning – 1fLa2bd- 4c-46b.

4. Yogish Naik, May 2014, Detailed Survey of Different Face Recognition Approaches, ISSN, Volume 3, Issue 5.

5. Sushma Jaiswal etal, 2011, Comparison Between Face Recognition Algorithm – Eigenface, Fisherfaces and Elastic Bunch Graph Matching, ISSN, Volume2, No 7.

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1. A Review Paper Comparing the CNN, LBPH, and PCA Face Recognition Algorithms;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

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