Developing a Historical Document Analysis System Using Hand-written OCR Techomology

在这个研究项目中，我们可以得到以下结果。(1)历史文字识别的基础研究。研究了历史文字识别和分割的一些特殊要求。通过使用少量的历史汉字数据集，采用日文手写汉字识别技术，获得了95%的正确率。我们还开发了一些新的历史文字分割和规范化技术。(2)用于识别研究的历史汉字数据库。我们建立了一些数据库，推动了历史汉字识别的研究。该数据库包含超过25万个字符。(3)历史文献分析系统界面原型。我们开发了历史文献分析系统的原型系统。一种是具有使用n-gram信息表示不可读字符的正确字符候选函数的系统。二是历史文字电词典的原型系统。该词典具有相似字符搜索功能，是手写体字符识别的一种应用。

In this research project, we could obtain the following results. (1) The basic research on the Historical Character Recognition. We examined on some special requirements for the character recognition and segmentation of historical characters. By using a small data set of historical characters, we obtained 95 percents of correct recognition ratio applying Japanese hand-written character recognition technology. We also developed some new technology of segmentation and normalization of historical characters. (2) Historical character database for recognition studies. We made some database to put the study of historical character recognition into progress. The database contain over 250 thousands characters. (3) Interface prototyping of historical document analyzing system. We developed prototype systems of historical document analyzing system. One is a system with a function of presenting correct character candidates of unreadable character using n-gram information. The other is a prototype system of electrical dictionary for historical characters. The dictionary has a function of similar character search, which is an application of hand-written character recognition.