• International Journal of Contents
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• v.11 no.4
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• pp.77-85
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• 2015

Table detection is a challenging problem and plays an important role in document layout analysis. In this paper, we propose an effective method to identify the table region from document images. First, the regions of interest (ROIs) are recognized as the table candidates. In each ROI, we locate text components and extract text blocks. After that, we check all text blocks to determine if they are arranged horizontally or vertically and compare the height of each text block with the average height. If the text blocks satisfy a series of rules, the ROI is regarded as a table. Experiments on the ICDAR 2013 dataset show that the results obtained are very encouraging. This proves the effectiveness and superiority of our proposed method.

• The Transactions of the Korea Information Processing Society
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• v.2 no.6
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• pp.937-946
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• 1995

We proposed and efficient block segmentation and classification method for the document analysis using SGLDM(spatial gray level dependence matrix) and BP (back Propagation) neural network. Seven texture features are extracted directly from the SGLDM of each gray-level block image, and by using the nonlinear classifier of neural network BP, we can classify document blocks into 9 categories. The proposed method classifies the equation block, the table block and the flow chart block, which are mostly composed of the characters, out of the blocks that are conventionally classified as non-character blocks. By applying Sobel operator on the gray-level document image beforebinarization, we can reduce the effect of the background noises, and by using the additional horizontal-vertical smoothing as well as the vertical-horizontal smoothing of images, we can obtain an effective block segmentation that does not lead to the segmentation into small pieces. The result of experiment shows that a document can be segmented and classified into the character blocks of large fonts, small fonts, the character recognigible candidates of tables, flow charts, equations, and the non-character blocks of photos, figures, and graphs.

• Journal of Digital Contents Society
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• v.15 no.4
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• pp.547-558
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• 2014

Recently, in the course of business processes a variety of abuse cases of fax documents is common in general corporate, government, and financial institutions. To solve this problem, it is necessary for a technique to prevent falsification of fax documents. In this paper, we propose a new fax sender verification technique based on pattern analysis to prevent falsification of fax documents only using the received fax document. In the proposed technique, the fax sender is verified by analyzing the communication signal patterns between the fax sender and receiver and image pattern in the received fax document. In this paper, we conduct the experiments that apply our technique to real-world fax systems, and then tamper-proof effects were confirmed from the experimental results.

• Korean Institute of Interior Design Journal
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• no.27
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• pp.64-75
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• 2001

As living condition has improved, agreeable living environmental plans that reflect residential traits are needed from. the first stage of house remodeling or interior construction. At the request of above, we need systematically study about the householder's preference according to the life style. The purpose of this study is to suggest the case of preferred interior by understanding preferred Interior image and interior design elements. Document and questionnaire research are used as the method of study. The subjects of research wear 702 persons from 20th to 40th. Contents are constituted with general traits, life style and preferred interior image and the analysis of the materials is quantifical analysis using statistics. In the base of the theory of interior image and interior design elements appeared In the documents, measuring apparatus is made up and suggested preferred examples of interior design depend on life style by combining preferences.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.104-108
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• 2015

많은 양의 뉴스가 생성됨에 따라 이를 효과적으로 정리하는 기법이 최근 활발히 연구되어왔다. 그 중 뉴스클러스터링은 두 뉴스가 동일사건을 다루는지를 판정하는 분류기의 성능에 의존적인데, 대부분의 경우 BoW(Bag-of-Words)기반 벡터유사도를 사용하고 있다. 본 논문에서는 BoW기반의 벡터유사도 뿐 아니라 두 문서에 포함된 사진들의 유사성 및 주제의 관련성을 측정, 이를 분류기의 자질로 추가하여 두 뉴스가 동일사건을 다루는지 판정하는 분류기의 성능을 개선하는 방법을 제안한다. 사진들의 유사성 및 주제의 관련성은 최근 각광을 받는 딥러닝기반 CNN과 신경망기반 문서임베딩을 통해 측정하였다. 실험결과 기존의 BoW기반 벡터유사도에 의한 분류기의 성능에 비해 제안하는 두 자질을 사용하였을 경우 3.4%의 성능 향상을 보여주었다.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.75-79
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• 1999

Geo-features play a key role in object-oriented or feature-based geo-processing system. So the strategy for how-to-model and how-to-manage the geo-features builds the main architecture of the entire system and also supports the efficiency and functionality of the system. Unlike the conventional 2D geo-processing system, geo-features in 3B GIS have lots to be considered to model regarding the efficient manipulation and analysis and visualization. When the system is running on the Web, it should also be considered that how to leverage the level of detail and the level of automation of modeling in addition to the support for client side data interoperability. We built a set of 3D geo-features, and each geo-feature contains a set of aspatial data and 3D geo-primitives. The 3D geo-primitives contain the fundamental modeling data such as the height of building and the burial depth of gas pipeline. We separated the additional modeling data on the geometry and appearance of the model from the fundamental modeling data to make the table in database more concise and to allow the users more freedom to represent the geo-object. To get the users to build and exchange their own data, we devised a file format called VGFF 2.0 which stands for Virtual GIS File Format. It is to describe the three dimensional geo-information in XML(eXtensible Markup Language). The DTD(Document Type Definition) of VGFF 2.0 is parsed using the DOM(Document Object Model). We also developed the authoring tools for. users can make their own 3D geo-features and model and save the data to VGFF 2.0 format. We are now expecting the VGFF 2.0 evolve to the 3D version of SVG(Scalable Vector Graphics) especially for 3D GIS on the Web.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 1999.12a
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• pp.47-51
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• 1999

Geo-features play a key role in object-oriented or feature-based geo-processing system. So the strategy for how-to-model and how-to-manage the geo-features builds the main architecture of the entire system and also supports the efficiency and functionality of the system. Unlike the conventional 2D geo-processing system, geo-features in 3D GIS have lots to be considered to model regarding the efficient manipulation and analysis and visualization. When the system is running on the Web, it should also be considered that how to leverage the level of detail and the level of automation of modeling in addition to the support for client side data interoperability. We built a set of 3D geo-features, and each geo-feature contains a set of aspatial data and 3D geo-primitives. The 3D geo-primitives contain the fundamental modeling data such as the height of building and the burial depth of gas pipeline. We separated the additional modeling data on the geometry and appearance of the model from the fundamental modeling data to make the table in database more concise and to allow the users more freedom to represent the geo-object. To get the users to build and exchange their own data, we devised a fie format called VGFF 2.0 which stands for Virtual GIS File Format. It is to describe the three dimensional geo-information in XML(extensible Markup Language). The DTD(Document Type Definition) of VGFF 2.0 is parsed using the DOM(Document Object Model). We also developed the authoring tools for users can make their own 3D geo-features and model and save the data to VGFF 2.0 format. We are now expecting the VGFF 2.0 evolve to the 3D version of SVG(Scalable Vector Graphics) especially for 3D GIS on the Web.

• Investigative Magnetic Resonance Imaging
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• v.24 no.1
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• pp.1-20
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• 2020

This document is the third part of the guidelines for the interpretation and post-processing of cardiac magnetic resonance (CMR) studies. These consensus recommendations have been developed by a Consensus Committee of the Korean Society of Cardiovascular Imaging (KOSCI) to standardize the requirements for image interpretation and post-processing of CMR. This third part of the recommendations describes tissue characterization modules, including perfusion, late gadolinium enhancement, and T1- and T2 mapping. Additionally, this document provides guidance for visual and quantitative assessment, consisting of "What-to-See," "How-To," and common pitfalls for the analysis of each module. The Consensus Committee hopes that this document will contribute to the standardization of image interpretation and post-processing of CMR studies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.5
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• pp.183-192
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• 2015

This paper proposes Personal Information Auto Detection(PIAD) System to prevent leakage of Personal informations in document and image files that can be used by mobile service provider. The proposed system is to automatically detect the images and documents that contain personal informations and shows the result to the user. The PIAD is divided into the selection step for fast and accurate retrieval images and analysis which is composed of SURF, erosion and dilation, FindContours algorithm. The result of proposed PIAD system showed more than 98% accuracy by selection and analysis steps, 267 images detection of 272 images.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.169-172
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• 2001

본 논문에서는 회전된 문서에서의 회전각 검출과 문서에 포함된 그림, 글자, 표, 직선과 같은 구성요소를 자동으로 분석하고 분류하는 방법을 제안한다. 본 연구는 입력영상을 획득하는 과정에서 발생되는 회전각에 의해 발생되는 오류를 최소화하기 위한 회전각 검출단계, 각 구성요소 검출에 불필요한 배경제거 단계, 각 구성요소의 특성을 통한 구성요소 분류단계로 이루어진다. 제안한 문서 인식 시스템의 성능 평가를 위해서 다양 한 문서에 제안한 방법을 적용하고, 성공적인 결과를 보인다.