计算机实时手写中文自动识别
Computer On-line Handwritten Chinese Character Recognition
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摘要: 本文介绍用于联机手写中文字自动识别的新方法与新算法.由于下述各点的实现,手写 文字时可以减少许多限制,增加书写自由.①笔划的抽取经由两次分段实现:首先连续采样, 将输入笔划变换成线段组成,再对线段的长度进行比较,删去相对不重要的成份.②用笔划校 正技术将不应分离的笔划重新组合成规范笔划,或者将不应联写的复合笔划重新分解成基本 笔划.③用非完全匹配技术使失真字可以识别.④用混序笔划重排算法可使一个混序笔划输 入的字重新排列笔顺.⑤笔划位置和长度作为进一步特征,可区别模糊字.Abstract: In this paper, a few new techniques and algorithms for computer on-line handwritten Chinese chiaracter recognition are presented. More freedom in writing can be provided by the following points:(1) sementation is based firstly on successive sampling and secondly on a method which eliminates, based on a local comparison, the undesired relative short segments of a strok;(2) by means of correction algorithm, strokes which should not be separated can be linked together, and strokes which should not be linked can be split into several basic strokes;(3) the distorted characters can be recognized by a non-exact matching process;(4) with reference to the stroke sequence order of a template character stored in the dictionary, the stroke sequence order of an input character can be rearranged;(5) use stroke position and stroke length as additional features to distinguish ambiguous characters.
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