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《Computer Engineering and Applications》 2005-08
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A Method of Sign Language Recognition Based on DTW/ISODATA Algorithm Multilayer-classifier

Yao Guilin Yao Hongxun Jiang Feng(Department of Computer Science,Harbin Institute of Technology,Harbin 150001)  
In this paper,a multilayer architecture of sign language recognition linking DTW and HMM for large vocabulary is proposed for the purpose of speeding up the recognition process.The gesture sequence to be recognized is first located at a set of words through a global cursory search and then the gesture is recognized through a more aborative local search and the generation of words set is realized by DTW/ISODATA algorithm.The authors select 4942 isolated words to test.Experiment shows that the average recognition speed is increased by 94.2% and the recognition accuracy is raised by 4.66% more than the HMM-based recognition method.
【Fund】: 国家863高技术研究发展计划项目资助
【CateGory Index】: TP391.4
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