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Fast searching Chinese calligraphic information based on character recognition

机译:基于字符识别的中国书法信息快速搜索

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摘要

The easy acquisition of various information of a Chinese calligraphic character can greatly enhance comprehension and learning efficiency of Chinese calligraphy. This paper presents a handy tool for fast searching all kinds of information of a written calligraphic character. Taking the characters written in regular style for example, which are the popular and representative style in calligraphy, first we establish an information library of over 6,700 standard Chinese calligraphy including Pinyin, structure, components and explanation. Then in order to fast identify a given image of a written calligraphic character in the library, we build a neural network with a feature set that largely determines the shape and spatial structure of a character and for the character that is provided more than one identifying results, we turn to image-based matching algorithm to find out the one with the highest similarity. Finally, users can easily obtain the whole information of the input character.
机译:容易获得汉字字符的各种信息可以大大提高中国书法的理解和学习效率。本文提出了一种方便的工具,用于快速搜索书法文字的各种信息。以书法中流行和代表性的常规字体为例,首先我们建立了一个包含6700多种标准中国书法的信息库,包括拼音,结构,组成和说明。然后,为了快速识别库中书写的书法字符的给定图像,我们构建了一个神经网络,该神经网络的特征集在很大程度上确定了字符的形状和空间结构,并且为该字符提供了多个识别结果,我们转向基于图像的匹配算法,以找出相似度最高的算法。最后,用户可以轻松获得输入字符的全部信息。

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