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Facial emotion detection using modified eyemap–mouthmap algorithm on an enhanced image and classification with tensorflow

  • Allen JosephEmail author
  • P. Geetha
Original Article

Abstract

Detection of emotion using facial expression is a growing field of research. Facial expression detection is also helpful to identify the behavior of a person when a man interacts with the computer. In this work, facial expression recognition with respect to the changes in the facial geometry is proposed. First, the image is enhanced by means of discrete wavelet transform and fuzzy combination. Then, the facial geometry is found using the modified eyemap and mouthmap algorithm after finding the landmarks. Finally, the area and angle of the constructed triangles are found and classified using neural network with the help of tensorflow central processing unit version. Results show that the proposed algorithm is efficient in finding the facial emotion.

Keywords

Emotion Eyemap Facial expression Facial geometry Mouthmap 

Notes

Funding

This work was funded by the Department of Science and Technology—Promotion of University Research and Scientific Excellence (DST-PURSE) Phase II Program, India.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringCollege of Engineering, Guindy, Anna UniversityChennaiIndia

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