基于文字书写教学的笔迹噪声处理

Handwriting noise processing based on character-writing teaching

文字书写教学系统对笔迹噪声的处理必须按是否可反映用户书写效果分类。不规范行笔状态分为过快或飘笔、过慢或顿笔、笔迹非法变向等三大类,相应形成的噪声结构归纳成白色、黑色及抖动三类,噪声处理有序采用步长可选线性插值、点序差及虚拟平滑等策略。实验及比较分析表明,噪声处理策略实现了按噪声是否需给出指导意见进行分类处理的工作机制,为系统依据用户书写效果产生客观、准确指导意见提供真实、有效、可信的数据环境。

The processing of the handwriting noise in character-writing teaching system must be classified according to whether the noise can reflect users’writing effect. In this paper, non-standard writing state is divided into three categories, which are writing too fast（or floating writing）, writing too slowly（or pause in writing）, and illegal handwriting direction, so the corresponding noise structure can be grouped into white, black and jitter. To eliminate those noises, it uses the strategies of step optional linear interpolation, point sequence difference, virtual smooth and so on respectively. Experi-ment and comparison analysis show that, those noise processing strategies realize the working mechanism of treatment classification according to whether the guidances should be given when a noise appeared, thus provide a true, valid, reliable data environment for the generation of the objective, accurate guidances based on the users’writing effect in the system.