Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJARAI.2014.030107
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 3 Issue 1, 2014.
Abstract: Human-lip detection is an important criterion for many automated modern system in present day. Like computerized speech reading, face recognition etc. system can work more precisely if human-lip can detect accurately. There are many processes for detecting human-lip. In this paper an approach is developed so that the region of a human-lip can be detected, we called it lip contour. For this a region-based Active Contour Model (ACM) is introduced with watershed segmentation. In this model we used global energy terms instead of local energy terms because, global energy gives better convergence rate for malicious environment. At the time of ACM initialization by using H8 based on Lyapunov stability theory, the system gives more accurate and stable result.
Md. Hasan Tareque and Ahmed Shoeb Al Hasan, “Human Lips-Contour Recognition and Tracing” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(1), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030107