On-Line Handwriting Recognition With Parallelized Machine Learning Algorithms
KI'10: Proceedings of the 33rd annual German conference on Advances in artificial intelligence(2010)
摘要
The availability of mobile devices without a keypad like Apple's iPad and iPhone grows continuously and the demand for sophisticated input methods with them. In this paper we present classifiers for on-line handwriting recognition based on SVM and kNN algorithms and provide a comparison of the different classifiers using the freely available handwriting corpus UjiPenchars2. We further investigate how their performance can be improved by parallelization and how these improvements can be utilized on a mobile device.
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关键词
Support Vector Machine, Mobile Device, Graphic Processing Unit, Recognition Accuracy, Dynamic Time Warping
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