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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Electrical Engineering and Information Science Journal of Electrical Engineering and Information Science Vol.4 No.6
- 발행연도
- 1999.12
- 수록면
- 681 - 687 (7page)
이용수
초록· 키워드
오류제보하기
This paper presents a heuristic method for extracting recognition fields in a GIRO ship image. The image contains several text lines to be recognized, and they are located at a fixed area and at a non-fixed area. Since one of the text lines is in the non-fixed area of a relatively big area, we call the slip a loosely constrained form. There are two major steps in the process: text line assumption and field selection from the assumed text lines. To assume the text lines a combined top-down and bottom-up image analysis is used. It is done by a recursive X-Y cut on the projection profiles of the connected components (top-down) and by analyzing the relative locations of the components and merging the neighboring components (bottom-up). The combined approach gives improvement in processing speed and extraction accuracy. To select the recognition fields in the fixed area size and location constraints of assumed text lines are used. And to select the field in the non-fixed area two more constraints of global shape of the field and local character composition by defining and measuring contour length factor (CLF) were used. We have tested the method with 245 real GIRO images and the fields were extracted correctly from 192 (78.4%) test images.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Recognition Field Extraction
Ⅲ. Experimental Results
Ⅳ. Conclusions
References
저자소개
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