Overview of Face Detection and Expression Recognition by LBPH

Authors

  • Priyanka K. P.
  • Divyaprabha .
  • M. Z. Kurian

Abstract

This paper gives an overview of facial expression recognition and face detection by LBPH technique, in this work facial expression will identify basic human expressions such as happy, disgust, anger, neutral, sadand surprise. To specify the visual pattern and its various aspects, we employ vector for face identification a local binary pattern histogram (LBPH) and a Haar-cascade classifier are utilized. This paper will explain about face detection and expression recognition with recognition rate and it will calculate the time taken process for training the respective image. Currently, facial expression places a vital role in identifying the human expressions, this will help us to increase the demand for better experience and satisfaction of a customers.

References

Nikhila, Sagar Imambi, S. Sequence Labeling using deep neural nets, International Journal of Advanced Trends inComputer Scienceand Engineering 2019

Vidyullatha, P, Rajeshwara Rao D, Machine learning techniques on multidimensional curvefitting data based on r-square and chi-square methods, international journal of electrical and computer engineering, volume 6, Issue 3, pp.974- 979. June 2016

Sreemanth Pisupati, Mohammed Ismail.B “Image Registration Method for satellite image sensing using feature-based technique” International Journal of Advanced Trends in computer science and

Engineering 9(1),490-593 ISSN 2278-3091, Feb 2020

Ghousia Anjum, T.Bhaskara Reddy Mohammed Ismail.B.Mansoor Alam “Variable Block Size Hybrid fractalTechnique for image compression”Proceeding IEEE 6th International Conference on

Advanced computing and communication system pp 510-515 March 2020

Rahul Shahne, Mohammed ismail, CSR Prabhu “Survey on Deep Learning Techniques for Prognosis and diagnosis of cancer from Micro array Gene Expression Data” Journal of computational and theoretical Nano science 16(12), 5078-5088, Dec 2019

K Naga Lakshmi, Y.kishore, M.Kireethi, T.Swathi, Mohammed Ismail. B” Design and implementation of Student Chat Bot using AIML and LSA” International Journal of Innovative Technology and exploring Engineering (IJITEE) 8(6), 1746, April2019

Bing-Fei Wu, Chum Hsien Lin “Adaptive Feature Mapping for Customizing Deep Learning Based Facial Expression Recognition Model” IEEE, 2018, 2169-3536

Xue-wen Chen, Thomas Huang “Facial Expression recognition: A clustering-based approach” Elsevier Science B. V, 2002.

Mohammed Ismail. B, V.Harsha Vardhan, V.Aditya Mounika, K.Surya Padmini “An Effective Heart Disease Prediction Method Using Artificial Neural Network” International Journal of Innovative Technology and Exploring Engineering 8(8), 1529-1532, June 2019

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Published

2023-08-25

Issue

Vol. 10 No. 2 (2023)

Section

Articles

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