文档介绍：手写体数字识别
第一章绪论 4
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第二章手写体数字识别基本过程: 6
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特征空间优化设计问题 7
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判别函数 9
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第三章贝叶斯方法应用于手写体数字识别 11
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第四章手写体数字识别的设计流程及功能的具体实现 18
手写体数字识别的流程图 18
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结束语 25
致谢词 25
参考文献 26
附录 27
摘要
数字识别就是通过计算机用数学技术方法来研究模式的自动处理和识别。随着计算机技术的发展,人类对模式识别技术提出了更高的要求。特别是对于大量己有的印刷资料和手稿,计算机自动识别输入己成为必须研究的课题,所以数字识别在文献检索、办公自动化、邮政系统、银行票据处理等方面有着广阔的应用前景。
对手写数字进行识别,首先将汉字图像进行处理,抽取主要表达特征并将特征与数字的代码存储在计算机中,这一过程叫做“训练”。识别过程就是将输入的数字图像经处理后与计算机中的所有字进行比较,找出最相近的字就是识别结果。
本文主要介绍了数字识别的基本原理和手写的10个数字字符的识别系统的设计实现过程。第一章介绍了数字识别学科的发展状况。第二章手写体数字识别基本过程。第三章贝叶斯方法应用于手写体数字识别。第四章手写体数字识别的设计流程及功能的具体实现,并对实验结果做出简单的分析。
关键词:手写体数字识别分类器贝叶斯 vc++
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ABSTRACT
The digital recognition researches how to treat with and recognize pattern automatically puter with math arithmetic. Along with the development puter technology, human need more advanced digital recognition technology. Especially for large numbers of printed data and manuscript, the automatic recognition and input of Chinese characters es a stringent task, therefore the
digital recognition will have a broad application prospect on literature retrieval, office automation, postal service system, bank bill processing.
In order to recognize digital characters, the first task we have to do is feature extraction of a map, after that we have to store the feature in puter. This process is called "the training". This pares the hand-written digital’s feature and the stored features in puter.
This paper mainly introduces the basic principles of hand-written digital recognition and the design、 realization process of ten hand-written digital recognition system. The first chapter mainly introduces the concepts related to the digital recognition and this discipline’s development condition. The second chapter i