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Online handwritten character recognition method and the device which are based on the feature vector which uses the gathering embody observation which is removed from the time serial frame
Online handwritten character recognition method and the device which are based on the feature vector which uses the gathering embody observation which is removed from the time serial frame
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机译:基于特征矢量的在线手写字符识别方法和装置,该特征矢量使用了从时序帧中删除的聚集体现观察
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摘要
A method for on-line handwriting recognition is based on a hidden Markov model and implies the following steps: sensing real-time at least an instantaneous write position of the handwriting, deriving from the handwriting a time-conforming string of segments each associated to a handwriting feature vector, matching the time-conforming string to various example strings from a data base pertaining to the handwriting, and selecting from the example strings a best-matching recognition string through hidden-Markov processing, or rejecting the handwriting as unrecognized. In particular, the feature vectors are based on local observations derived from a single segment, as well as on compacted observations derived from time-sequential segments.
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