Abstract
As the first step of many lip-reading or visual speaker authentication systems, lip region segmentation is of vital importance. And fuzzy clustering based methods have been widely used in lip segmentation. In this paper, four fuzzy clustering based lip segmentation methods have been elaborated with their underlying rationale. Experiments have been carried out evaluate their performance comparatively. From the experimental results, SFCM has the best efficiency and FCMST has the best segmentation accuracy.
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Wang, SL., Cao, AJ., Chen, C., Wang, RY. (2011). A Comparative Study on Fuzzy-Clustering-Based Lip Region Segmentation Methods. In: Wu, Y. (eds) Computing and Intelligent Systems. ICCIC 2011. Communications in Computer and Information Science, vol 234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24091-1_49
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DOI: https://doi.org/10.1007/978-3-642-24091-1_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24090-4
Online ISBN: 978-3-642-24091-1
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