• Title/Summary/Keyword: 온라인 한글 필기 인식

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A Study on the On-Line Handwritten Hangeul Pattern Recognition Using WLD with Parallelish (병렬성을 갖는 WLD 알고리즘을 이용한 온라인 필기체 한글, 영문자 및 숫자 패턴인식)

  • 김은원;조원경
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.10
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    • pp.747-754
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    • 1991
  • In this paper, we studies the on-line recognition of handwritten character using WLD(weighted levenshtein distance) algorithm with parallelism. The Hangeul can be separated for unit of phonemes and the alphanumeric can be separated for unit of characters. And, we studies the parallelism and the concurrency of the WLD algorithm for realization of special-purpose processor. By the simulation result for 10, 000 characters in practical sentences, the recognition rate of strokes in obtained 96.57$\%$ and the separation rate for phonemes and characteristics is obtained 95.4$\%$.

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On-Line Recongnition of Handwritten Hangeul by Structure Analysis (구조해석에 의한 필기체 한글의 온라인 인식)

  • Hong, Sung Min;Kim, Eun Won;Park, Chong Kug;Cho, Won Kyung
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.1
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    • pp.114-119
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    • 1986
  • In this paper, an algorithm for the on-line recognition of handwritten Hangeul is proposed. The strokes are recognized by the minimum distance parser. The phonemes are separated by the finite-state automata resulted from the state graph of phonemes which are produced by the order of strokes. By simulation result for 3,000 characteristics in practical sentences, the recognition rate of strokes is obtained to be 98.5% and the separation rate of phonemes is obtained to be 92.5%.

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Curvature stroke modeling for the recognition of on-line cursive korean characters (온라인 흘림체 한글 인식을 위한 곡률획 모델링 기법)

  • 전병환;김무영;김창수;박강령;김재희
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.11
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    • pp.140-149
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    • 1996
  • Cursive characters are written on an economical principle to reduce the motion of a pen in the limit of distinction between characters. That is, the pen is not lifted up to move for writing a next stroke, the pen is not moved at all, or connected two strokes chance their shapes to a similar and simple shape which is easy to be written. For these reasons, strokes and korean alphabets are not only easy to be changed, but also difficult to be splitted. In this paper, we propose a curvature stroke modeling method for splitting and matching by using a structural primitive. A curvature stroke is defined as a substroke which does not change its curvanture. Input strokes handwritten in a cursive style are splitted into a sequence of curvature strokes by segmenting the points which change the direction of rotation, which occur a sudden change of direction, and which occur an excessive rotation Each reference of korean alphabets is handwritten in a printed style and is saved as a sequence of curvature strikes which is generated by splitting process. And merging process is used to generate various sequences of curvature strikes for matching. Here, it is also considered that imaginary strokes can be written or omitted. By using a curvature stroke as a unit of recognition, redundant splitting points in input characters are effectively reduced and exact matching is possible by generating a reference curvature stroke, which consists of the parts of adjacent two korean alphasbets, even when the connecting points between korean alphabets are not splitted. The results showed 83.6% as recognition rate of the first candidate and 0.99sec./character (CPU clock:66MHz) as processing time.

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