Performance improvement of the offline cursive style character recognition system

在这项研究中，我们开发了一个支持系统，为人们谁没有专家知识阅读古代文献。由于古代文献通常是用印度墨水和草书书写的，这些因素使其难以阅读理解。在该系统中，它显示了第一至第五个字符的建议，以确定古代文献的字符是现代字符。针对草书字体形状多样、字与字之间单行连续拼出的特点，提出了一种新的算法。通过在数据库中包括“成人动漫”字符，该系统可以应用于许多字符。此外，草书风格的字符被削减使用的像素密度的导数。识别率达到75%。

In this study, we develop a support system for people who do not have the expert knowledge to read ancient documents. Because of the ancient documents are usually written in India ink and in cursive style, these factors make it difficult reading comprehension. In this system, It displays suggestions of characters up to the first to fifth to determine the character of ancient documents is which of the modern character. A novel algorithm is developed cause of cthe cursive style characters have a various forms and spell out in succession with a single line between characters. The system can be applied to a number of characters by including "hentai" characters in the database. Furthermore cursive style characters were cut using the derivatives of the pixel density. As the result, recognition rate has been achieved 75 percent.