Facial Expression Recognition Using Gabor-Mean-DWT Feature Extraction Technique

Mattela, Govardhan and Gupta, Sandeep K (2018) Facial Expression Recognition Using Gabor-Mean-DWT Feature Extraction Technique. In: 5th International Conference on Signal Processing and Integrated Networks, 22-23 February 2018, Amity School of Engineering and Technology Noida, India.

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Facial Expression Recognition is key vital topic for research in current scenario and has wide application as activity recognition, human-computer interaction, and person satisfaction index evaluation. This paper presents a novel feature extraction technique: Gabor-mean-DWT for automatic facial expression recognition from video image sequences and proposed technique is illumination invariant also. Facial Emotion can be recognized using unique edge and texture pattern on face. Gabor filter is able to extract edges and texture pattern of faces but have a problem of huge dimension and high redundancy. The problem of huge dimension and high redundancy is reduced by proposed Average-DWT feature reduction technique in order to increase accuracy of system. Proposed Gabor-Average-DWT provides a compact feature vector compared to existing Gabor based expression classification. Detailed quantitative analysis is done and results shows that the accuracy of proposed technique is better than existing state of art results.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: facial expression recognition
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 04 Dec 2018 06:21
Last Modified: 04 Dec 2018 06:21
URI: http://raiith.iith.ac.in/id/eprint/4607
Publisher URL: http://doi.org/10.1109/SPIN.2018.8474206
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