Document Image Retrieval: Algorithms, Analysis and Promising Directions
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- 발행기관
- 보안공학연구지원센터(IJSEIA) 바로가기
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- 간행물
- International Journal of Software Engineering and Its Applications SCOPUS 바로가기
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- 통권
- Vol.7 No.1 (2013.01)바로가기
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- 페이지
- pp.93-106
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A208444
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- During the last decades, Due to the advances in Information technology and communication and increase in volume of printed documents in many applications, document image databases have become increasingly important. Document Images are documents that normally begin on paper and are then via electronics scanned that move towards a paperless office and stored documents as images. Document Image retrieval is one of an important research area in the field of document image databases. Many approaches come in for indexing and retrieval document images. Traditionally, Optical character recognition (OCR) has been used for completely convert the manuscript to an electronic version which can be indexed automatically. Then, Keyword spotting has been proposed for indexing document image retrieval. Keyword spotting method has lower cost than OCR. But there are some problems in both of methods for indexing document images with non-text components. Three approaches have been presented to solve this problem, Signature based approach, layout structural and logo based approach. In this paper we proposed a framework for classify document image retrieval approaches, and then we evaluated these approaches based on important measures.
목차
Abstract
1. Introduction
2. Document Image Retrieval
2.1. Query Image
2.2. Noise Removal
2.3. Feature Extraction
2.4. Matching Algorithm
2.5. Indexed Documents
3. Evaluation Metrics for Evaluation Document Image RetrievalPerformance
4. Proposed Framework for classify Document Image Indexing Approach
4.1. Document Image Retrieval with Optical Character Recognition
4.2. Document Image Retrieval Based On Keyword Spotting
4.3. Document Image Retrieval Based on Layout Structural Similarity
4.4. Signature Based Document Image Retrieval
4.5. Document Image Retrieval Based On Logo Matching
5. Evaluation of Document Image Retrieval Approaches
5. Conclusion
References
키워드
Document image retrieval indexing information retrieval query image저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Software Engineering and Its Applications
- 간기
- 월간
- pISSN
- 1738-9984
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.7 No.1
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