Journal of Computer Science | |
Classical Flexible Lip Model Based Relative Weight Finder for Better Lip Reading Utilizing Multi Aspect Lip Geometry | Science Publications | |
B. Sujatha1  T. Santhanam1  | |
关键词: Active shape model; analytic hierarchy process; fuzzy classifier; | |
DOI : 10.3844/jcssp.2010.1065.1069 | |
学科分类:计算机科学(综合) | |
来源: Science Publications | |
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【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
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RO201911300416131ZK.pdf | 237KB | ![]() |