Recognition of Facial Expression Using AAM and Optimal Neural Networks

Authors

  • Suneetha J Department of Computer Science, University of Sri Padmavathi Mahila Viswa vidyalayam, India
  • Sandhya Rani K Department of Computer Science, University of Sri Padmavathi Mahila Viswa vidyalayam, India

Keywords:

Preprocessing, Feature Extraction, Classification, Active Appearance Model, Neural Network

Abstract

Human communication is a combination of both verbal and nonverbal interactions. Facial Expressions convey non-verbal cues, which acts an important role in interpersonal relations. Facial Expressions play significant role wherever Human-computer interface required. In this paper, an optimal Neural Network has been presented to recognize from facial images. In this proposed work, firstly the image is acquired and preprocessed by using adaptive median filter and then using Active Appearance Model to extract the eye feature from the preprocessed image. Finally using Optimal Neural Networks to classify the facial expression of the image. Experiments are carried out on JAFFE facial expression database.

References

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Published

2025-11-11

How to Cite

[1]
J. Suneetha and K. Sandhya Rani, “Recognition of Facial Expression Using AAM and Optimal Neural Networks”, Int. J. Comp. Sci. Eng., vol. 4, no. 4, pp. 136–140, Nov. 2025.

Issue

Vol. 4 No. 4 (2016): IJCSE April Edition

Section

Research Article

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