학회논문집의 DB구축을 위 한 자동문서 인식기 설계

• 영문명: A Design oi the Automatic Document Recognition System for DB Construction of Institute Journal
• 발행기관: 호서대학교 공업기술연구소
• 저자명: 유신재 이기돈
• 간행물 정보: 『공업기술연구 논문집』제16권 제1호, 309~324쪽, 전체 16쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 1997.12.30

영문 초록

In this paper, Character recognition system, which recognized Hangul—Document to image type using scanner or camera, designed using neural network method. After learning neural network is possible supervised—learning using Back Propagation algorithm, this system recognized the character with same processing. The neural network consists of total 17 hierarchical neural network to recognize Hangul with grapheme unit. In Preprocessing step, 1. omary image, 2. rotation- of the nltea image, 3. separate text parts and graphic parts, 4. separate each character process about input image, 5. Hangul separated 6 types with combination of vowel and consonant. In character recognition step, 1. normalized character area with 60x60 size, 2. separated fixed grapheme area for each types, 3. extracted grapheme s feature information using Mesh vector at separated grapheme area, 4. constracted graphemes recognition neural network recognize the character. we get the research result that is 98% recognition rate about Hangul document (9 sheet of paper in A4 size) was not participate in neural network learning.

목차

I . 서 론

n. 전처리 과정

m. 개별문자 분리 및 유형 분류

IV. 문자 인식

V. 실험 결과

VI. 결 론