• Title/Summary/Keyword: stenographic character

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A Study on the Recognition System of the Il-Pa Stenographic Character Images using EBP Algorithm

  • Kim, Sang-Keun;Park, Gwi-Tae
    • KIEE International Transaction on Systems and Control
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    • v.12D no.1
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    • pp.27-32
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    • 2002
  • In this paper, we would study the applicability of neural networks to the recognition process of Korean stenographic character image, applying the classification function, which is the greatest merit of those of neural networks applied to the various parts so far, to the stenographic character recognition, relatively simple classification work. Korean stenographic recognition algorithms, which recognize the characters by using some methods, have a quantitative problem that despite the simplicity of the structure, a lot of basic characters are impossible to classify into a type. They also have qualitative one that It Is not easy to classify characters fur the delicacy of the character farms. Even though this is the result of experiment under the limited environment of the basic characters, this shows the possibility that the stenographic characters can be recolonized effectively by neural network system. In this system, we got 90.86% recognition rate as an average.

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Adaptive Recognition System of the I1-Pa Stenographic Character Images by Using Line Scan Method and BEP

  • Kim, Sangkeun;Lee, Sungoh;Park, Gwitae
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.354-354
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    • 2000
  • In this paper, we would study the applicability of neural networks to the recognition process of Korean stenographic character image, applying the classification function, which is the greatest merit of those of neural networks applied to the various pans so far, to the stenographic character recognition, relatively simple classification work. Korean stenographic recognition algorithms, which recognize the characters by using some methods, have a quantitative problem that despite the simplicity of the structure, a lot of basic characters are impossible to classify into a type. They also have qualitative one that it is not easy to classify characters for the delicacy of the character forms. Even though this is the result of experiment under the limited environment of the basic characters, this shows the possibility that the stenographic characters can be recognized effectively by neural network system. In this system, we got 90.86% recognition rate as an average.

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Development of a stenographic keyboard (속기병용 키보드의 개발)

  • 장중순;정기현;홍만표;황용주;박해동
    • Proceedings of the ESK Conference
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    • 1996.10a
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    • pp.91-96
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    • 1996
  • A keyboard is deveoped which can be used for Korean stenograph. Korean characters are of combinaton type : a Korean character is composed of upper or lower consonants and a vowel. This keyboard can process more than one character at a time by pressing corres- ponding buttons together. The space-bar is divided into 6 buttons for lower consonants. If some reserved words for special stings are entered, the corresponding strings are auto- matically sent to the computers. The keyboard can also be served as a normal one.

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