@article {10.3844/jcssp.2010.1065.1069,
article_type = {journal},
title = {Classical Flexible Lip Model Based Relative Weight Finder for Better Lip Reading Utilizing Multi Aspect Lip Geometry},
author = {Sujatha, B. and Santhanam, T.},
volume = {6},
number = {10},
year = {2010},
month = {Jul},
pages = {1065-1069},
doi = {10.3844/jcssp.2010.1065.1069},
url = {https://thescipub.com/abstract/jcssp.2010.1065.1069},
abstract = {Problem statement: Deaf and dumb needs assistance from a technical box that takes movements of lips to identify the words. This technical article provided appropriate model implementation of flexible lip model for better visual lip reading system. Approach: From the frame sequence of words, Active Shape Model (ASM) based lip model provided local tracking and extraction of geometric lip-feature. Two geometric criteria define required geometric features and its variations in the sequence. Results: The feature established machine classification using Analytic Hierarchy Process (AHP), a relative weight finder. AHP presents weight vector to fuzzy classifier to decide the video frame sequence belonging to a respective word. Conclusion: The suggested model tested on a total of 5 different sample databases results in 83.2% accuracy over the other combinational algorithms.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}