Title of article
A modified technique for recognizing facial expression
Author/Authors
Rajpal, Bhawesh Department of MCA - School of Computer Science and IT - Jain (deemed-to-be) University, Bangalore, Karnataka, India , Prasad, Nitin Department of MCA - School of Computer Science and IT - Jain (deemed-to-be) University, Bangalore, Karnataka, India , Kishore Rao Mangalore, Kaushal Department of MCA - School of Computer Science and IT - Jain (deemed-to-be) University, Bangalore, Karnataka, India , Pradeep, Nikhitha Department of MCA - School of Computer Science and IT - Jain (deemed-to-be) University, Bangalore, Karnataka, India , Shastri, Ravi Department of MCA - School of Computer Science and IT - Jain (deemed-to-be) University, Bangalore, Karnataka, India
Pages
11
From page
424
To page
434
Abstract
This paper consists of analysis of an algorithm dealing with facial expressions recognition. The algorithm has three major steps, initially image is processed, then the facial features are extracted and finally facial expression is recognized. In the initial processing stage the facial region is identified using a Haar cascade classifier. This facial region is passed on to the model trained by a CNN where facial features are matched with the features specified in the model. In the final step on the basis of comparison in the previous step the image is labelled and results are displayed. By the experiment results it is clear that the method specified in the paper can detect facial expressions very well.
Farsi abstract
فاقد چكيده فارسي
Keywords
Facial Expression Recognition , Haar Cascade , CNN , OpenCV
Journal title
Journal of Applied Research on Industrial Engineering
Serial Year
2020
Record number
2616779
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