We propose a printed Hangul recognition algorithm on multitransputer system. The vowels in a printed Hangul have very outstanding features and are relatively easy to locate and recognize. We developed subpattern separation algorithm which is based on the vowel. After subpattern separation, the system extracts stroke codes for each subpattern and recognizes them. To get higher recognition speed, we allocated each processing step on a multitransputer system. We tested the validity of the recognition system for 7,000 printed characters from an ordinary text. It showed good result in both speed as well as recognition rates.
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