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The relationship between computers and human being is
becoming tighterand tighter. Computers can help people do a lot
of jobs, but also bring some new troubles, one of which is the
input problem of Chinese character. For example,due to the
complicated operating rules, data entry through a keyboard is
notonly expensive but also not capable of inputting documents
with a mixture of text and images. As a result, Chinese
character recognition systems are established for solving this
problem. One of the reasons is the most computersare designed
under the western traditions and philosophy, so comes the
eastern(especially the Chinese character) data entry problem.
Thus, how to simplify the Chinese character input Chinese
character input method becomes a very important research topic.
Handwritten character recognition has enormous scientific and
practicalinterest. Numerous methods have been proposed in the
literature; in most of these methods, the preprocessing unit
plays a very important role and also isone of the recognition
system. It directly influences the recognition rate andquality
of a Chinese recognition system is always the goal of the
research inthe field. Some deviation in written character
affecting the recognition performancemay be due to a variety of
causes, such as noise or different writing habit. However, some
recognition system do not accept a wide variation of patterns.
Forexample, most recognition systems only accept some pre-
confined orderings of strokes for every characters. For this
problem we propose a method of reconstruction of stroke segment
ordering of Chinese characters. It can providea stable order
stroke segment for a written Chinese character, independent of
its written order, to solve above mentioned problems.
Therefore, a specific Chinese character recognition system,
mounted with the proposed preprocessing unit can accept over
free-hand written charactersas well as characters with some
constraints.
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