In experiment, we discuss the processing ofthe Chinese Character Handwriting Recognition in detail. We finally draw a conclusion that this morphology of fuzzy mathematics has more advantages than the traditional one.
在实验中,我们详细地讨论了手写汉字识别系统的处理流程,从实验的结果可以明显看出,该基于模糊数学的形态学方法对噪声鲁棒,易于并行实现,处理的结果清晰,其性能明显优于传统的形态学。
参考来源 - 基于模糊变换的数学形态学方法及其在图像处理中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
In the research of handwriting Chinese character recognition, no researcher raised a mathematical model of handwriting Chinese characters which is discussed in this paper.
在手写汉字识别的研究中，鲜有研究者提出建立手写汉字的数学模型，本文在这方面作了一些探讨。
Proposed in this paper is a fast multi-stage classification strategy for large class sets, such as handwriting Chinese character recognition.
针对大类别集分类问题提出了一种新的快速分类方法。
This paper is focus on small set character recognition. Based on skeleton graphics, handwriting Chinese character is defined as a set of isolated branch, isolated loop and component. Relation…
本文针对小类别数手写汉字，在骨架图形的基础上，把手写汉字看作孤枝、孤环和部件的集合，并定义三者之间的方位关系，从而建立手写汉字的数学模型。
应用推荐