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初聲字素分離 認識에 의한 筆記 한글文字의 大分類에 관한 硏究

원문정보

A Study on the Pre-Classification of Handwritten Hangeul Characters Using Partial Separation and Recognition of Initial Consonants

초성자소분리 인식에 의한 필기 한글문자의 대분류에 관한 연구

安錫出, 金明起

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초록

영어

Recently, it Is required to develop OCR(Optical Character Reader) along with the progress of the information processing system for Hangeul. Characters have to be recognized clearly so that OCR can be applied, Structure analysis method and lump method are used for the recognition of characters, and OCR is now available for the recognition of printed characters and handwritten alphanumeric characters having simple structure by them However, It is known that there should be much more study on the development of handwritten Hangout's OCR. This paper proposed a new method for the handwritten Hangout character recognition. The units of Initial consonant of Hangout are separated and then recognized from the utilization of the position- Information of Hangeul's units from the normalized patterns using the regression line theory. It is carried out for the extraction of the block which exists in the virtual Initial consonant region from the normalized input patterns and the calculation on maximum value () of likelihood after comparing the features of separated subpattern with the initial consonant dictionary.

목차

Abstract
 I. 序論
 II. Pattern의 正規化와 한글字素의 位置情報
  (1) 패턴의 正規化
  (2) 한글字素의 位置情報
  (3) 字素紛雜認識
 III. 實驗結果 및 考察
  (1) 實驗裝置 構成
  (2) 패턴의 正規化
  (3) 筆記 한글文字의 初聲分離 認識
 IV. 結論
 參考文獻

저자정보

  • 安錫出 안석출. 부산개방대학 인쇄공학과
  • 金明起 김명기. 동아대학교 전자공학과 교수

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