Shidiq, Muchamad Bachram and Ernawan, Ferda and Khubrani, Mousa Mohammed and Nugroho, Fajar Agung (2022) Feature extraction and classification stage on facial expression : A review. In: Proceedings - International Conference on Informatics and Computational Sciences; 6th International Conference on Informatics and Computational Sciences, ICICoS 2022 , 28-29 September 2022 , Virtual, Online. pp. 152-156., 2022 (183902). ISSN 2767-7087 ISBN 978-166546099-6
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Abstract
Human facial expression becomes an important technology in recent years. As information technology and networks have grown, identification and authentication have become more frequent in people's daily lives, especially using biometric technology. Human facial recognition involves face detection, feature extraction, and classification. A lot of experiments showed that there are various techniques for extracting facial features and classifying facial expressions. This paper reviews and analyze the various optimization techniques on extract feature and classification stage for human facial expression recognition. This review will compare two kinds of extract features methods and one classification method. The first technique of extracting features is the optimization technique using the K-Mean algorithm, which helps to increase recognition accuracy. The second extract feature is an optimization technique using improved Gradient Local Ternary Pattern (GLTP) which is beneficial for computational resources efficiency. Lastly, the optimization technique for image classification using a three-staged Support Vector Machine (SVM) is very helpful for increasing accuracy and eliminating error. The modified GLTP is able to obtain an accuracy of 97%.
Item Type: | Conference or Workshop Item (Lecture) |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Classification; Face detection; Feature extraction; Human expression Recognition; Optimization technique |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Faculty/Division: | College of Engineering Faculty of Computing |
Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
Date Deposited: | 20 Nov 2023 06:47 |
Last Modified: | 20 Nov 2023 06:47 |
URI: | http://umpir.ump.edu.my/id/eprint/39334 |
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