Facial expression recognition for wild dataset using LBP features and Random Forest Classifier

Authors

  • Shubhangi Patil-Kashid N.K. Orchid College of Engineering and Technology, Solapur https://orcid.org/0000-0002-6993-5686
  • Y.M. Patil KIT’s College of Engineering, Kolhapur
  • Anandrao S. Kashid N.K. Orchid College of Engineering and Technology, Solapur

DOI:

https://doi.org/10.62110/sciencein.jist.2024.v12.817

Keywords:

Facial Expression Recognition, Random Forest classifier, wild dataset, pre-processing, feature extraction

Abstract

Face expressions play major in communication. If machines are facilitated with expression recognition then humans can interact with machines same as humans. A lot of research is carried out in last forty years to find best algorithm for face expression recognition. Good recognition accuracy is achieved for posed images captured in   controlled scenario. In this research paper a novel method is proposed for real time images. All the images in dataset are preprocessed before feature extraction. Texture information of images is obtained by using LBP features and random forest classifier is applied on the features extracted. The algorithm is tested by using four datasets and good recognition accuracy is achieved with real time dataset also.

URN:NBN:sciencein.jist.2024.v12.817

Downloads

Download data is not yet available.

Author Biographies

  • Shubhangi Patil-Kashid, N.K. Orchid College of Engineering and Technology, Solapur

    Department of Electronics and Telecommunication Engineering

  • Y.M. Patil, KIT’s College of Engineering, Kolhapur

    Department of Electronics & Telecommunication  Engineering

  • Anandrao S. Kashid, N.K. Orchid College of Engineering and Technology, Solapur

    Department of Mechanical Engineering

facial expression detection

Downloads

Published

2024-02-27

Issue

Section

Engineering

URN

How to Cite

Facial expression recognition for wild dataset using LBP features and Random Forest Classifier. (2024). Journal of Integrated Science and Technology, 12(5), 817. https://doi.org/10.62110/sciencein.jist.2024.v12.817

Similar Articles

1-10 of 70

You may also start an advanced similarity search for this article.