【作者】 朱宁波；

【导师】 杨静宇；

【作者基本信息】 南京理工大学 ， 模式识别与智能系统， 2004， 博士

【摘要】 字符识别(OCR)是模式识别的一个重要分支，脱机手写体汉字识别则一直是OCR中一个极具有挑战性的难题，本文探讨的主要内容是小类别的无限制脱机手写体汉字识别。 首先，针对手写体汉字的规范化处理，提出一种基于图像有效区域的密度均衡的非线性规范方法，该方法既调整了字符笔画的相对位置，使笔画分布趋于均匀，又根据笔画的宽度调整了笔画的粗细，使笔画的粗细趋于一致，有效地减小了同类字符之间的差异。然后，本文对银行支票大写金额的印刷体和手写体辨识进行了专门探讨。 在特征抽取与分类识别方面，本文提出一种模糊子笔画抽取方法，解决了因无限制手写体笔画随意性而使得抽取的子笔画不稳定的问题。引入模糊数学的思想，提出了基于模糊网格和模糊子笔画属性相结合的统计特征。接着，介绍了在高维特征下快速近邻法的定位点选择问题及其应用。 最后，本文介绍了一个自行开发研制的实用后督支票自动处理系统，包括其应用环境、主要功能、系统结构与组织、各子系统使用的主要技术。该系统在手写汉字识别方面，采用本文所述方法取得了良好的实际效果。更多还原

【Abstract】 Optical Character Recognition( OCR) is an important area in pattern recognition research, and handwritten Chinese character recognition is regarded as a famous challenging problem of OCR research. This thesis mainly focuses on off-line unconstrained handwritten Chinese character recognition of little class set.Firstly, a modified nonlinear normalization method based on density equalization of the exact character area is proposed in this thesis, which not only adjusts the relative character stroke position to make the stroke distribution uniform, but also adjusts the stroke thickness to make it consistent so as to narrow the character difference within the same class. Then, a distinguishing method of printed and handwritten legal amount on Chinese bank check was introduced.The Chinese character is made up of strokes or sub-strokes. A fuzzy sub-stroke extraction method is proposed to resolve the unsteadiness because of the unconstrained written fashion. Fuzzy mathematics is the power utility to resolve the conflict between the computer precise calculation and the fuzzy brain thought. This thesis adopts the fuzzy mathematics thought to present the fuzzy sub-stroke statistical feature. The fuzzy sub-stroke statistical feature combines fuzzy division of the character lattice image with the fuzzy sub-stroke property feature. In addition, we present a fast nearest-neighbor search algorithm based on high-dimension features and its application to handwritten Chinese character recognitionFinally, a practical processing system of Chinese bank check later automatic supervising was introduced, including the applying environment primary function, system structure and the main technology used in the sub-system. Adopting the technology presented in this thesis, excellent classifying effect had achieved in handwritten Chinese character recognition aspect of the system.更多还原