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Direction-change features of imaginary strokes for on-line handwriting character recognition

机译:用于在线手写字符识别的虚拟笔画的方向改变特征

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We found suitable direction-change features of the imaginary strokes in the pen-up state for online handwritten cursive character recognition. Our method simultaneously uses both directional features, otherwise known as off-line features, and direction-change features, which we designed as on-line features. Direction-change features express both written strokes in the pen-down state and unwritten imaginary strokes in the pen-up state. It is important to get suitable direction-change features when using this method. We tried to examine the influence on character recognition rates when changing the functions used to get each direction-change feature based on the imaginary stroke lengths. Then, we found that the best function is the function which puts no weight on the imaginary stroke lengths. The recognition rate for freely-written Japanese characters was improved from 82.37% to 86.32% by our new method using the best function as opposed to our old method using a function which gets each direction change feature in inverse proportion to the imaginary stroke lengths.
机译:我们发现了在笔式状态下虚拟笔触的合适方向变化特征,可用于在线手写草书字符识别。我们的方法同时使用了定向特征(也称为脱机特征)和方向转换特征(我们设计为在线特征)。方向改变功能既可以表示笔下状态下的书写笔划,也可以表示笔头上状态下的未写虚笔画。使用此方法时,获取合适的方向变化特征非常重要。我们尝试在根据虚构的笔触长度更改用于获取每个方向变化特征的功能时,检查对字符识别率的影响。然后,我们发现最好的功能是对假想行程长度不加任何权重的功能。通过使用具有最佳功能的新方法,与使用具有使每个方向变化特征与假想笔画长度成反比的函数的旧方法相比,采用最佳功能的新方法将自由书写的日语字符的识别率从82.37%提高到86.32%。

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