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Research Of The Recognition Of Multi-Font Printed Mongolian Characters

Posted on:2005-06-16Degree:MasterType:Thesis
Country:ChinaCandidate:W LiFull Text:PDF
GTID:2168360125952963Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Character Recognition is a newly sophisticated technology, which involves Pattern Recognition, Artificial Intelligence, Character Processing. Automatic input of characters and other information can be realized through this intelligent recognition. Character Recognition not only has a wide range of application, but also facilitates the progress of Pattern Recognition and Character Processing. This technology is the research focus of international Computing Intelligence as well as the important subject of sophisticated technology research program in China. Mongolian is the main body language in Inner Mongolian autonomous region. In China, Mongolian is also used in Heilongjiang, Jilin, Liaoning, Xinjiang and so on. At present, most of input modes are using keyboard. Almost nothing was done about Mongolian recognition at that time, which seriously impeds the development and application of information technology in the Minority region. Under this circumstance, we propose the research of Multi-Font printed Mongolian characters recognition, which can not only provide an automatic method of Mongolian input, but also has a far-reaching meaning about inheriting and developing the Minority culture.Mongolian is widely used in Inner Mongolian autonomous region. But most of the Mongolian input is still using keyboard, automatic recognition input is just beginning. This subject provides a new, automatic and intelligent input mode, which carries Mongolian processing to a new and higher level. Mongolian is a kind of spelling characters, which has a very special written structure different from Chinese and English characters. Mongolian is written from left to right, from top to bottom, all letters are connected together to form a vertical backbone, and every letter may have different shapes in different positions. All these characteristics bring many difficulties to recognition procedure. So during the process of research, we should assimilate the experience and technology used in Chinese and English recognition, and at the same time create some new methods according to Mongolian written structure. Our research aim is: from the character recognition point of view, accomplishing Mongolian feature selection, feature extraction, primitive segmentation, matching etc, developing a Multi-Font printed Mongolian recognition system with desirable man-machine interface.
Keywords/Search Tags:pattern recognition, character recognition, Mongolian, structural pattern recognition, structural feature
PDF Full Text Request
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