Handwritten Korean character recognition by stroke extraction and representation

We propose an extended handwritten Korean character (Hangul) recognition algorithm by stroke extraction and representation which is based on the structure of the character and writing habits. In the case of handwritten Hangul, contact among graphemes and various abnormal graphemes are major obstacle for the useful system. To solve the problem, we define 26 primitive strokes for handwritten Hangul and build stroke separation rules. Since the vertical vowel make a lot of grapheme contacts, the system recognizes them first. After the vertical vowel recognition, stroke separation and representation grapheme recognition and character code generation steps are followed. We implement the proposed algorithm on most frequently used 2,600 characters and show the recognition result.<
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