Artificial Intelligence based Human Facial Action Recognition by Deep Learning Neural Network
Suvarna Nandyal1, Lakshmi2
1Dr.Suvarna Nandyal, Department of Computer Science and Engineering, PDACE, Kalaburgi, India.
2Lakshmi, Department of Computer Science and Engineering, PDACE, Kalaburgi, India.
Manuscript received on 17 August 2019 | Revised Manuscript received on 24 August 2019 | Manuscript published on 30 August 2019 | PP: 4052-4056 | Volume-8 Issue-10, August 2019 | Retrieval Number: J98130881019/2019©BEIESP | DOI: 10.35940/ijitee.J9813.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The modern era of digital devices which will be equipped with the dedicated machine will have the built in features to perform the special needs of the human. The mobile devices comes with the special cameras which will produces the high quality images. Human face and the facial expression system has been in the interesting field due to the great level of application it possesses. The face unlock, face detection in security areas and also the facial expression recognition has been in demand of development. The human exhibits the multiple type of expressions anger, sad, surprise, happy and many more. These expressions have special notation based on the human feelings and scenario. The Digital image processing technology has provided the tools to work with the images and will use the edge features, skin mapping and supervised knowledge based classifier to recognize the expressions posed by the human to assist the need.
Index Terms: Face, GLCM (Gray Level Co-Occurrence Matrix), Skin Mapping, SVM (Support Vector Machine).
Scope of the Article: Artificial Intelligence