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Classical Flexible Lip Model Based Relative Weight Finder for Better Lip Reading Utilizing Multi Aspect Lip Geometry

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Author(s): B. Sujatha | T. Santhanam

Journal: Journal of Computer Science
ISSN 1549-3636

Volume: 6;
Issue: 10;
Start page: 1065;
Date: 2010;
Original page

Keywords: Active shape model | analytic hierarchy process | fuzzy classifier

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.

Tango Jona
Tangokurs Rapperswil-Jona

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