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Handwriting recognition system and method using compound characters for improved recognition accuracy

机译:使用复合字符的手写识别系统和方法以提高识别精度

摘要

A handwriting recognition system and method whereby various character sequences (which are typically “slurred” together when handwritten) are each modelled as a single character (“compound character model”) so as to provide increased decoding accuracy for slurred handwritten character sequences. In one aspect of the present invention, a method for generating a handwriting recognition system having compound character models comprises the steps of: providing an initial handwriting recognition system having individual character models; collecting and labelling a set of handwriting data; aligning the labelled set of handwriting data; generating compound character data using the aligned handwriting data; and retraining the initial recognition system with the compound character data to generate a new recognition system having compound character models. Once these compound character models are trained, they may be used to accurately decode slurred handwritten character sequences for which compound character models were previously generated. Once recognized, the compound characters are expanded into the constituent individual characters comprising the compound character.
机译:一种手写识别系统和方法,其中将各种字符序列(通常在手写时通常都被``糊化''在一起)分别建模为单个字符(``复合字符模型''),以便为糊涂的手写字符序列提供提高的解码精度。在本发明的一个方面,一种用于产生具有复合字符模型的手写识别系统的方法包括以下步骤:提供具有各个字符模型的初始手写识别系统;收集并标记一组手写数据;对齐标记的手写数据集;使用对齐的笔迹数据生成复合字符数据;用复合字符数据对初始识别系统进行再训练,以生成具有复合字符模型的新识别系统。一旦训练了这些复合字符模型,就可以将它们用于准确地解码先前为其生成复合字符模型的模糊手写字符序列。一旦识别出复合字符,就将其扩展为组成复合字符的各个组成字符。

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