Facial Expression Recognition using Hybrid Texture Features based Ensemble Classifier
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 6
Abstract
Communication is fundamental to humans. In the literature, it has been shown through many scientific research studies that human communication ranges from 54 to 94 percent is non-verbal. Facial expressions are the most of the important part of the non-verbal communication and it is the most promising way for people to communicate their feelings and emotions to represent their intentions. Pervasive computing and ambient intelligence is required to develop human-centered systems that actively react to complex human communication happening naturally. Therefore, Facial Expression Recognition (FER) system is required that can be used for such type of problem. In this paper, FER system has been proposed by using hybrid texture features to predict the expressions of human. Existing FER system has a problem that these systems show discrepancies in different cultures and ethnicities. Proposed systems also solve this type of problem by using hybrid texture features which are invariant to scale as well as rotate. For texture features, Gabor LBP (GLBP) features have been used to classify expressions by using Random Forest Classifier. Experimentation has been performed on different facial databases that demonstrate promising results.
Authors and Affiliations
M. Arfan Jaffar
Keywords
Related Articles
- EP ID EP259943
- DOI 10.14569/IJACSA.2017.080660
- Views 102
- Downloads 0
Machine Learning for Bioelectromagnetics: Prediction Model using Data of Weak Radiofrequency Radiation Effect on Plants
Plant sensitivity and its bio-effects on non-thermal weak radio-frequency electromagnetic fields (RF-EMF) identifying key parameters that affect plant sensitivity that can change/unchange by using big data analytics and...
Design of an Error Output Feedback Digital Delta Sigma Modulator with In–Stage Dithering for Spur–Free Output Spectrum
Digital Delta Sigma Modulator (DDSM) is responsible for generation of spurious tones at the output of fractional n frequency synthesizer due their inherent periodicity. This results in an impure output spectrum of freque...
FabricVision: System of Error Detection in the Manufacture of Garments
A computer vision system is implemented to detect errors in the cutting stage within the manufacturing process of garments in the textile industry. It provides solution to errors within the process that cannot be easily...
User Perspective on External Value Creation Factors in Indonesia e-Commerce
Value creation is very important for the e-commerce companies in order to reach customers and increase company's value in the view of customer. Value creation mostly developed based on internal factor of the company. Thi...
A Qualitative Comparison of NoSQL Data Stores
Due to the proliferation of big data with large volume, velocity, complexity, and distribution among remote servers, it became obvious that traditional relational databases are unsuitable for meeting the requirements of...