TY  - JOUR
AU  - Sujatha, B. 
AU  - Santhanam, T. 
PY  - 2010
TI  - Classical Flexible Lip Model Based Relative Weight Finder for Better Lip Reading Utilizing Multi Aspect Lip Geometry
JF  - Journal of Computer Science
VL  - 6
IS  - 10
DO  - 10.3844/jcssp.2010.1065.1069
UR  - https://thescipub.com/abstract/jcssp.2010.1065.1069
AB  - 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.