基于模糊的印刷体僧伽罗语字符识别模型（ICIAfS14）
A Fuzzy Based Model to Identify Printed Sinhala Characters (ICIAfS14)
摘要：
印刷文档的字符识别技术广泛用于英语语言。然而，被实现为识别亚洲语言的系统努力提高识别的准确性。在其他亚洲语言（如阿拉伯语，泰米尔语，中文）中，僧伽罗语字符是独特的，主要是因为它们是圆形的。这一独特的功能使得扩展现有技术以提高僧伽罗语字符识别成为一项挑战。因此，很少有人关注提高僧伽罗语字符识别的准确性。利用这一独特特征的新方法可能优于其他方法。本文介绍了使用模糊推理系统来识别僧伽罗语字符。特征提取主要集中在利用字符的圆形形状从字母中心到不同方向的距离和相交测量。结果显示，对140个字母测试的总体准确率为90.7%，远远优于同类系统。
英文摘要：
Character recognition techniques for printed documents are widely used for English language. However, the systems that are implemented to recognize Asian languages struggle to increase the accuracy of recognition. Among other Asian languages (such as Arabic, Tamil, Chinese), Sinhala characters are unique, mainly because they are round in shape. This unique feature makes it a challenge to extend the prevailing techniques to improve recognition of Sinhala characters. Therefore, a little attention has been given to improve the accuracy of Sinhala character recognition. A novel method, which makes use of this unique feature, could be advantageous over other methods. This paper describes the use of a fuzzy inference system to recognize Sinhala characters. Feature extraction is mainly focused on distance and intersection measurements in different directions from the center of the letter making use of the round shape of characters. The results showed an overall accuracy of 90.7% for 140 instances of letters tested, much better than similar systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
