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The goal of this thesis is to develop a scheme for the recognitionof radicals in Chinese characters input from a pen. Many researchers sharethe conviction that radicals are the key to the problems associated with Chinese characters. We found that if we can 'correctly' split a character into sub-characters, then it is relatively easy to determine what radicals these sub-characters are. We developed three methods to split characters into sub-characters, and sub- characters in turn into sub-sub-characters. We first try to cut a character (sub-character) by a vertical line or a horizontal line. Besides, we have elaborated rules to calculate the scores of all candidates. We select the candidate with highest score to cut the character.The first point of every stroke is a candidate, which splits a character into two sub-characters. One consists of all strokes preceding the candidate,and the other consists of all strokes succeeding the candidate. We tested with two sets of written characters. Each set contains 5401characters. One set is more cursive that the other. The radical recognition rates are 67.83% and 89.10% respectively.
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