Smile Recognition System based on Lip Corners Identification

Conference contribution
(Original article)


Publication Details

Author(s): Royce E, Setyawan I, Timotius I
Publication year: 2014
Conference Proceedings Title: The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014)
Pages range: 222 - 225
Language: English


Abstract






Automatic smile recognition plays an important part in several intelligent image processing systems. This paper presents an automatic smile detection system based on lip corners identification. Two different corner detection algorithms are used in this paper to identify lip corners, i.e., the Harris corner detection and the FAST corner detection. The proposed system is tested using our VISiO smiling face database. Our results show that the Harris corner detector yields the best result with 77.5% accuracy while the FAST corner detector gives 72.5% accuracy. However, these results depend on the method of of determining pavg (the average lip corner position during the training phase).







FAU Authors / FAU Editors

Timotius, Ivanna
Lehrstuhl für Informatik 5 (Mustererkennung)


How to cite

APA:
Royce, E., Setyawan, I., & Timotius, I. (2014). Smile Recognition System based on Lip Corners Identification. In The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014) (pp. 222 - 225). Semarang, ID.

MLA:
Royce, Eduard, Iwan Setyawan, and Ivanna Timotius. "Smile Recognition System based on Lip Corners Identification." Proceedings of the The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014), Semarang 2014. 222 - 225.

BibTeX: 

Last updated on 2018-19-04 at 03:31