• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.243-248
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• 2006

Recognition of sign has been studied to provide convenience tour information for foreigners and strangers through automatic recognition of sign. The sign image database is essential to training the classifier and to intuitive measurement of performance. In this paper, we described the sign image database collected at Jeonju Hanok Village. As to 45 each other sign image, corresponding 50 images are collected under several condition. This database could be important content to study for the field of pattern recognition.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.4
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• pp.219-231
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• 2019

The specifications of signboards are set for each type of signboards, but the shape and size of the signboard actually installed are not uniform. In addition, because the colors of the signboard are not defined, so various colors are applied to the signboard. Methods for recognizing signboards can be thought of as similar methods of recognizing road signs and license plates, but due to the nature of the signboards, there are limitations in that the signboards can not be recognized in a way similar to road signs and license plates. In this study, we proposed a methodology for recognizing plate-type signboards, which are the main targets of illegal and old signboards, and automatically extracting areas of signboards, using the deep learning-based Faster R-CNN algorithm. The process of recognizing flat type signboards through signboard images captured by using smartphone cameras is divided into two sequences. First, the type of signboard was recognized using deep learning to recognize flat type signboards in various types of signboard images, and the result showed an accuracy of about 71%. Next, when the boundary recognition algorithm for the signboards was applied to recognize the boundary area of the flat type signboard, the boundary of flat type signboard was recognized with an accuracy of 85%.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.577-578
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• 2011

전주한옥마을 간판은 간판의 모양, 글씨체 등이 매우 다양한 모습을 띄고 있다. 따라서 이러한 다양한 모습의 간판을 인식하기 위하여 본 논문에서는 크기, 회전, 위치, 이동에 불변한 특징을 가지는 SIFT를 이용하여 간판 인식 시스템을 스마트폰에 구현하였다. 구현된 시스템은 간판을 인식하여 가게 이름, 홈페이지, 전화번호, 가게 내부 사진, 가게 설명 등의 정보를 사용자에게 제공해 준다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.772-774
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• 2005

간판인식은 관광지의 간판을 자동 인식하여 외국인 또는 외지인에게 편리한 관광 정보제공을 목적으로 연구되고 있다. 이러한 연구의 효율적인 진행을 위해 객관적인 간판영상 데이터베이스가 필수적이다. 이 논문은 전주 한옥마을을 대상으로 수집한 간판영상 데이터베이스에 대해 기술한다. 총 45개의 서로 다른 간판에 대해 각각 50개씩 영상을 다양한 조건에서 획득하였다.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.10-17
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• 2008

The sign recognition and translation offer information and support decision making for foreigners or city tourist. Collecting sign images and building words in signs are essential to train machine recognizers and to evaluate systems. In this paper, we analyze the characteristics of sign images. The collected sign images are about 1000 captured from difference conditions and locations. We also build a dictionary of words in 100,000 sign names.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.364-373
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• 2018

This study aims to investigate the linguistic features of English signboards (ES) and socio-cultural aspects in Korea through university students' perspectives on the ES. The data comprised pictures and questionnaire on the ES from the students. The findings showed that ES reached to 55.4% for mainly the business of drink beverage and clothes. The text written by 'only English' included 2-3 words (43%), and that of 'combination of English and Korean' had 4-5 words (25%), which reached to 68% of the all. The 70% of ES were used for the business of drink beverage, food, and clothes, but these were not in harmony with the neighborhood, showing 42% of agreement. Good ES required 'visual factors (27%)', 'expression of business (23%)', 'elegant and luxurious style (19%)', and 'design and creativity (15%)', and these ES were the most in Shinchon areas. Overall, the present ES culture was insufficient to make harmonious atmosphere in Korea, which requires the support of policies and systems.

• The KIPS Transactions:PartB
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• v.16B no.3
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• pp.239-246
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• 2009

In this paper, we propose a Korean character recognition method from outboard signboard images. We have chosen 808 classes of Korean characters by an analysis of frequencies of appearance in a dictionary of signboard names. The proposed method mainly consists of three steps: feature extraction, rough classification, and coarse classification. The first step is to extract a nonlinear directional segments feature, which is immune to the distortion of character shapes. The second step computes an ordered set of 10 recognition candidates using a minimum distance classifier. The last step reorders the recognition candidates using a Fisher discriminant measure. As experimental results, the recognition accuracy is 80.45% for the first choice, and 93.51% for the top five choices.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.197-209
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• 2020

Signboards are installed in different types and sizes depending on the shop characteristics. However, the local government is having difficulty managing signboards with frequent opening and closing of stores and insufficient management personnel. In this study, a methodology was proposed to standardize and efficiently manage signboard information. To this end, the signboard display method of the enforcement ordinance related to outdoor advertising was analyzed to define the attribute elements of standard signboard data. In addition, physical information of signboards was obtained through signboard recognition technology, which is a prior study, and attribute elements of signboard standard data were defined through information that can be read with the naked eye, building integration information of the Ministry of the Interior and Safety, and street name address. In order to standardize the signboard information by spatial characteristics, data product specifications and metadata were defined according to the national spatial information standard. Lastly, standard data for signboards were produced in XML (Extensible Markup Language) format for compatibility, and XSD (XML Schema Definition) was defined for XML integrity so that data validity could be verified. Through this, a standard data model for the informatization of signboards was designed.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.109-111
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• 2010

도시의 옥외광고는 정보전달매체로서의 역할 뿐만 아니라 그 시각적 표현은 도시미관을 형성 하는 중요한 요소 중 하나이다. 따라서 현대의 간판은 한 지역의 사회적 문화적 수준을 판가름하는 척도로 인식될 만큼 그 중요성이 강조되고 있다. 또한 도시환경 속에서의 간판은 시민들이 항상 접하고 있는, 시민들의 삶의 질에 밀접하게 연관되어 있다. 간판은 이제 상점을 홍보하는 단순한 사물이 아니라 건물과 가로수, 광고의 내용물, 도시 시민들과의 유기적인 조화를 고려하여 만들어야 하는 도시환경구성의 주요 요소로서 접근해야 한다. 따라서, 부분적 요소인 간판을 통해 도시 미관과 환경을 효율적으로 조율하여 쾌적한 도시환경을 조성해야 할 필요가 있다. 본 연구는 중국, 장춘시 상업지역을 중심으로 사인보드의 실태를 수집분석하고 그에 따른 문제점을 연구하고 개선방안을 제시하는데 목적이 있다.

• Annual Conference on Human and Language Technology
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• 2012.10a
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• pp.173-174
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• 2012

문자 영역의 추출은 명함 등 문서의 정형화된 문자 인식, 비전 기반 감시 시스템에서의 간판, 부호 등의 자연영상에서의 문자 인식 등 다양한 분야에 활용될 수 있다. 우리가 관심을 갖는 문자는 간판이나 이름표 등 다른 이에게 정보를 전달해주는 기능을 하는 것으로 그 전배경의 구분이 명확하다. 이러한 특징은 히스토그램의 변화와 관련이 되어 있으며 본 논문에서는 그 변화를 분석함으로써 문자 영역 추출 방법을 제안한다.