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[Author] Tae Kyun KIM(1hit)

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  • On-line Recognition of Cursive Hangul by DP Matching with Structural Information

    Eun Joo RHEE  Tae Kyun KIM  Masayuki NAKAJIMA  

     
    PAPER-Image Processing, Computer Graphics and Pattern Recognition

      Vol:
    E78-D No:8
      Page(s):
    1065-1073

    This paper presents a system for recognition of on-line cursive Hangul (Korean characters) by means of DP matching of structural information. The penalty function has the following special features. In order to prevent short spurious strokes from causing large penalties, an input stroke is weighted by its length relative to other input strokes. In order to make use of pen-up and pen-down information, a penalty is incurred when 2 strokes of differing type (i.e. pen-up with pen-down) are matched. Finally, to reduce the chance of obtaining a suboptimal solution which can result from using the greedy algorithm in DP matching, we look-ahead an extra match. In a computer simulation we obtained a recognition rate of 92% for partially cursive characters and 89% for fully cursive characters. Furthermore, for both cases combined the correct character appears 98% of the time in the top 10 candidates. Thus we confirmed that the proposed algorithm is effective in recognizing cursive Hangul.