基于筆畫結(jié)構(gòu)特征的脫機手寫漢字識別

1、河北大學(xué)碩士學(xué)位論文基于筆畫結(jié)構(gòu)特征的脫機手寫漢字識別姓名：賈新彪申請學(xué)位級別：碩士專業(yè)：計算機軟件與理論指導(dǎo)教師：田學(xué)東20100601Abstract IIAbstract Today, OCR technology for printed Chinese character has achieved the practical level. But, it is difficult to satisfy the demand of

2、 off-line handwritten Chinese character recognition. The main reason of this situation is the deformation of off-line handwritten Chinese characters. The single statistical feature extraction and the simple classificatio

3、n algorithm are not able to to adapt the changes of the handwritten Chinese characters’ style. So, in this paper, we use template method in which combination distance of strokes as judgemental criterion to recognize off-

4、line handwritten Chinese characters. The system consists of two stages, stroke structure feature extraction and matching. In the stage of stroke structure feature extraction, we get the Chinese characters’ skeleton thro

5、ugh thinning firstly, and then remove crossing points by measuring the degree of every pixel. The inflexion point can be got by max distance method, and then sub-stroke can be extracted by the crossing points and the inf

6、lexion point. In order to eliminate interference feature, the sub-strokes would be optimized. The sub-strokes which are linked together in original bitmap can be combined into strokes according to the similar matrix of s

7、ub-strokes. And the stroke structure feature would be constructed by using coordinates and the number of the strokes. In the stage of matching，using stroke structure features as the templates, the unknown character would

8、 match with the templates. The distances between the character and the templates would be calculated. And the character can be recognized by the above minimum distance. The experiments on off-line handwritten Chinese cha