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Local Similarity based Document Layout Analysis using Improved ARLSA
Gwangbok Kim,SooHyung Kim,InSeop Na 한국콘텐츠학회(IJOC) 2015 International Journal of Contents Vol.11 No.2
In this paper, we propose an efficient document layout analysis algorithm that includes table detection. Typical methods of document layout analysis use the height and gap between words or columns. To correspond to the various styles and sizes of documents, we propose an algorithm that uses the mean value of the distance transform representing thickness and compare with components in the local area. With this algorithm, we combine a table detection algorithm using the same feature as that of the text classifier. Table candidates, separators, and big components are isolated from the image using Connected Component Analysis (CCA) and distance transform. The key idea of text classification is that the characteristics of the text parallel components that have a similar thickness and height. In order to estimate local similarity, we detect a text region using an adaptive searching window size. An improved adaptive run-length smoothing algorithm (ARLSA) was proposed to create the proper boundary of a text zone and non-text zone. Results from experiments on the ICDAR2009 page segmentation competition test set and our dataset demonstrate the superiority of our dataset through f-measure comparison with other algorithms.
수문학적 검토 및 물리탐사를 이용한 저수지 안정성 분석
최광복 ( Choi Gwangbok ),이상무 ( Lee Sangmoo ),이상학 ( Lee Sanghak ),김주희 ( Kim Juhee ),박기범 ( Park Kibum ),안승섭 ( Ahn Seungseop ) 한국구조물진단유지관리공학회 2019 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.23 No.1
In this investigation, the reservoir stability was reviewed using hydrological and physical examination. The results of the review showed that, Both sites were analyzed to lack embankment height and sidewall height in the event of flooding, and it was considered that measures to increase stability should be established in the future by adding more dam cest and increasing side wall of a spill way. In addition, analysis and research will be necessary for other reservoir deteriorated in the future.
Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images
Oh, KangHan,Kim, SooHyung,Na, InSeop,Kim, GwangBok The Korea Contents Association 2014 International Journal of Contents Vol.10 No.3
Text line segmentation is a critical task in handwritten document recognition. In this paper, we propose a novel text-line-segmentation method using baseline estimation and watershed. The baseline-detection algorithm estimates the baseline using Adaptive Head-Tail Connection (AHTC) on the document. Then, the watershed method segments the line region using the baseline-detection result. Finally, the text lines are separated by watershed result and a post-processing algorithm defines the lines more correctly. The scheme successfully segments text lines with 97% accuracy from the handwritten document images in the ICDAR database.
Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images
KangHan Oh,SooHyung Kim,InSeop Na,GwangBok Kim 한국콘텐츠학회(IJOC) 2014 International Journal of Contents Vol.10 No.3
Text line segmentation is a critical task in handwritten document recognition. In this paper, we propose a novel text-line segmentation method using baseline estimation and watershed. The baseline-detection algorithm estimates the baseline using Adaptive Head-Tail Connection(AHTC) on the document. Then, the watershed method segments the line region using the baseline-detection result. Finally, the text lines are separated by watershed result and a post-processing algorithm defines the lines more correctly. The scheme successfully segments text lines with 97% accuracy from the handwritten document images in the ICDAR database.
이정화 ( Jeongwha Lee ),김건우 ( Gunwoo Kim ),김광복 ( Gwangbok Kim ),손진현 ( Jin Hyun Son ) 한국정보처리학회 2008 한국정보처리학회 학술대회논문집 Vol.15 No.2
비즈니스 프로세스란 기업의 목표 달성을 위하여 다양한 비즈니스 규칙에 의해 정의된 상호 연관이 있는 비즈니스 기능들의 집합을 의미한다. 비즈니스 프로세스는 크게 모델링, 구현, 실행, 관리 이렇게 총 4가지의 단계로 구성이 되는데 모델링 단계에서 비즈니스 프로세스 다이어그램을 모델링 할 경우 예기치 못한 여러 가지 이상 현상을 포함 할 수 있다. 본 논문에서는 비즈니스 프로세스 정형화 기법을 이용하여 비즈니스 프로세스에서 모호성을 제거하고 이상 현상 검출에 불필요한 요소를 변환하여 기존의 워크플로우에 적용되었던 이상 현상 검출기법을 BPMN을 이용하여 모델링 되어진 비즈니스 프로세스에서도 사용할 수 있도록 하였다.