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On-line handwriting character recognition method with directional features and direction-change features

机译:具有方向特征和方向改变特征的在线手写字符识别方法

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We propose a new on-line recognition method to recognize handwritten cursive-style characters correctly. Our method simultaneously uses both directional features, otherwise known as off-line features, and direction-change features, which we designed as on-line features. These features are expressed in the divided meshes of the character area. The directional features express the directions between character's coordinates within the meshes. The direction-change features express where in the mesh and in which direction each direction of the character's coordinates change, and express where the circular parts of the character are in the mesh. These features express both written strokes in the pen-down state and unwritten imaginary strokes in the pen-up state. Our method recognizes an inputted character by comparing the inputted character's features and the features of standard characters. The recognition rate was improved by our method with directional features and direction-change features as opposed to the traditional method with only directional features. Moreover, the recognition rate was also improved by considering imaginary strokes in the pen-up state.
机译:我们提出了一种新的在线识别方法,可以正确识别手写的草书风格的字符。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)。这些特征在字符区域的划分网格中表示。方向特征表示网格内角色坐标之间的方向。方向变化特征表示角色坐标的每个方向在网格中的哪个位置以及在哪个方向上改变,并且表示角色的圆形部分在网格中的位置。这些功能既可以在笔下状态下书写笔画,又可以在笔上状态下书写笔画假想笔画。我们的方法通过比较输入字符的特征和标准字符的特征来识别输入字符。与仅具有方向性特征的传统方法相比,本发明的具有方向性特征和方向改变特征的方法提高了识别率。而且,通过考虑在笔向上状态下的假想笔画,识别​​率也得到了提高。

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