Image recognition, Image recognition technology, Quality verification, information retrieval
Funding Org.
문화체육관광부
Research Org.
한국전자통신연구원
Project Code
17CD1100, Image Recognition Technology Development for Hangeul Font Quality Verification and Information Retrieval,
Kim Doo Sik
Abstract
요약 ◯ 한글 폰트 품질 검사 기술 개발 - 기본 검사 117 항목: 파일 형식, 버전, 글리프 범위 및 크기, 인코딩 등 - 도안 검사 33 항목: 한글 획, 코드블록, 글리프 크기/방향, 제어점 등
◯ 한글 폰트 인식 기술 개발 - 한글 2,350자를 대상으로 인식률 94.2% 달성 - 딥 러닝 기술을 이용한 지도 학습과 클러스터링 기술을 이용한 점층 학습을 활용하여 학습 속도와 확장성 향상
◯ 폰트 특징 추출 및 인식 기술을 활용한 폰트 간 닮음 비교 및 형태분류 - 3,600여 종의 각 폰트에 대해 닮은 폰트를 순위별로 추출 색인 - 글꼴개발원, 이기성, 특허청의 분류기준에 따라 폰트 형태 자동 분류
◯ 한글 폰트 품질 검사 및 검색 기술을 적용한 폰트 정보 검색 서비스 개발 - 국립한글박물관에 이관하여 2개월 간 시험 운영 및 편의성 개선
(출처 : 요약서 5p)
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