• 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 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.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.38 no.1
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• pp.69-83
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• 2020

Signboards are standardized according to national legislation for the safety of pedestrians and disaster prevention in urban areas. Signboards should be installed according to the standard. However, it is not easy to manage the signboards systematically due to the number of signboards that have been installed for a long time and frequently changing stores. In this study, we proposed a methodology for distinguishing signboards that deviated from the standard. To this end, the signboard was photographed using a stereo camera, and then the three-dimensional coordinates of the signboard were determined from the signboard image to calculate the signboard's horizontal and vertical dimensions to determine the signboard's specifications. In order to determine the interior and relative orientation parameters of the stereo camera, an outdoor three-dimensional building was used as the test field. Then, the image coordinates of four vertices of the signboard were extracted from the signboard image taken from about 15m ~ 22m distance using deep learning. After determining the signboard's three-dimensional coordinates by using the interior and relative orientation parameters of the stereo camera and the image coordinates of the four vertices of the signboard, the horizontal and vertical sizes of the signboard were calculated, resulting in an error of about 2.7cm on average. The specifications for the ten flat-type signboards showed that all of the horizontal sizes were compliant with the specifications, but the vertical sizes exceeded about 36.5cm on average. Through this, it was found that maintenance of flat-type signboards is needed overall.

• 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.

• 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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• 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 Safety Management and Science Conference
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• 1999.11a
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• pp.487-500
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• 1999

간판시스템의 목적은 최소한의 자원으로 수요에 대처하고, 궁극적으로 생산리드타임을 단축하여 제품생산원가를 줄여 대외적인 경쟁력을 확보하는 데 있다. 간판생산시스템은 수요에 따라 생산하여 최소한의 재고를 보유하고 공급하기 때문에 다품종 소량생산에 매우 적합하다. 그러나 간판시스템을 도입하는 데에는 생산시스템에 많은 조건들이 전제가 되어야 한다. 그리고 간판시스템은 JIT 생산시스템을 이루는 하부구조가 안정적인 상태를 유지할 때 성공적인 도입이 가능하다. 본 논문에서 우리나라 기업, 특히 중소기업에서의 간판시스템 도입 시에 성공적인 도입을 위해 고려해야 할 사항과 절차 등 표준모델을 제공하는데 있다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1991.10a
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• pp.27-38
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• 1991

최근 관심의 대상이 되고 있는 JIT시스템은 간판매수 결정이 그 무엇보다도 중요하다 하겠다. 제1보에 있어서는 단일 제품인 경우에 있어서의 간판매수 결정법을 제안했다. 본 논문에서는, 복수의 제품이 다단계 생산 시스템을 흘러가는 경우, 1) 공정에서의 간판용량이 다른경우 2) 제품에 공통하는 부품의 공정이 있는 경우 3) 공통부품공수가 있지만 제품에 따라 흘러가는 공정이 다른 경우 등을 고려한다. 또한 종래의 코스트 최소화만의 사고를 탈피, 간판매수의 결정에 있어 중요한 요인을 정리 간판매수결정 방법을 제시하는데 있다. 구체적으로, 간판매수의 결정에 있어 중요한 요인으로써 수요, 공정간의 목표, 재고수준, 재고비용, 노무비용, 하청업체의 공급능력, 작업자의 작업시간을 고려한다. 또한, JIT시스템의 전제조건의 하나인 평준화생산을 실시하기 위하여 작업시간에 있어서 기간별 공정별 부하 밸런스를 고려한다. 그리고, 수리계획법의 하나인 다목표계획법에 의한 문제의 형식으로 모델화하고, 모델에 대한 수리적 검증을 실행한다.

• 베이커리
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• no.4 s.345
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• pp.70-73
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• 1997