Abstract
Facial expression is a form of nonverbal communication that can convey the emotional state of someone to the person who observes it. Research on the recognition of facial expressions is one of the interesting fields in computer science. This research aims to improve the accuracy of recognition performance. The process carried out in this research is to perform feature extraction and image classification. Markov Stationary Feature - Vector Quantization (MSF-VQ) method is used for feature extraction and Support Vector Machine (SVM) for image classification. Data set in used is 1440 data with six classifications of facial expressions. The results of the testing showed 97.41% which stated that this method could be recommended to be applied in the facial expressions recognition.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
