Smile recognition system based on lip corners identification
- Resource Type
- Authors
- Iwan Setyawan; Eduard Royce; Ivanna K. Timotius
- Source
- 2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering.
- Subject
- Engineering
Identification (information)
Smile detection
business.industry
Position (vector)
Face (geometry)
Corner detection
Recognition system
Training phase
Image processing
Computer vision
Artificial intelligence
business
- Language
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).