• Journal of architectural history
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• v.29 no.3
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• pp.51-66
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• 2020

Paldalmun gate was built in 1794 as the southern gate of Suwon Hwaseong. The signboard's paintworks of Paldalmun gate was applied to the signboard of the state-run building in the 18th century. The signboard of Paldalmun gate was repainted along with the building when repaired in 1969. In that time, the signboard's paintworks during the reign of Jeongjo era was transformed. The purpose of this study is to restore the image of Jeongjo era paintworks on the Paldalmun's signboard, which has been modified since the 1960s due to modification. For the purpose of the examination, we examined the traces of paintworks remaining on the signboard of Paldalmun gate and examined several state-run signboards decorated with 'Yukhwamoon' paintings similar as the signboard of Paldalmun gate, which made around the 18th century. Through the above-mentioned researches, typical color features were identified in the decorated with 'Yukhwamoon' paintings on signboard in the 18th and 19th centuries. In addition, the type of pigment used in the signboard's paintwork of Paldalmun gate was verified through the 『Hwaseong Seongyeok Uigwe(華城城役儀軌)』 and the 『Han-gul Jeongri Uigwe(한글整理儀軌)』, while analyzing the characteristics of age-related deterioration according to the type of paintworks in various traces of pigment coatings remaining on the signboard of Paldalmun gate.

• 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.

• 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%.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.9
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• pp.2312-2325
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• 2013

In this paper, we propose a preprocessing method that it is to correct the distortion of text area in Korean signboard images as a preprocessing step to improve character recognition. Distorted perspective in recognizing of Korean signboard text may cause of the low recognition rate. The proposed method consists of four main steps and eight sub-steps: main step consists of potential vertical components detection, vertical components detection, text-boundary estimation and distortion correction. First, potential vertical line components detection consists of four steps, including edge detection for each connected component, pixel distance normalization in the edge, dominant-point detection in the edge and removal of horizontal components. Second, vertical line components detection is composed of removal of diagonal components and extraction of vertical line components. Third, the outline estimation step is composed of the left and right boundary line detection. Finally, distortion of the text image is corrected by bilinear transformation based on the estimated outline. We compared the changes in recognition rates of OCR before and after applying the proposed algorithm. The recognition rate of the distortion corrected signboard images is 29.63% and 21.9% higher at the character and the text unit than those of the original images.

• Journal of Broadcast Engineering
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• v.22 no.3
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• pp.339-349
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• 2017

In this paper, we propose a technique for smoothly replacing a signboard image in a video clip with another signboard image and an application for performing it. In order to replace the signboard area in the image, it must be tracked and the shape of the signboard changed. Also, when an obstruction occurs due to a front object, the obscured area is extracted so that only the signboard area can be replaced, and color correction is performed for natural synthesis. The proposed application receives the information required by the algorithm from the user and explains the required functions, thereby disclosing the entire process in which the algorithm is actually implemented and tested. This can be used for a variety of media, and can be used as a means to remove the indirect advertisement that is often seen, and it can also be used as a new advertisement model in which another advertisement image is inserted into the image to be advertised.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.722-733
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• 2012

Recently various studies on various applications using images taken by mobile phone cameras have been actively conducted. This study proposes a correction method for misrecognition of Korean Texts in signboard images using improved Levenshtein metric. The proposed method calculates distances of five recognized candidates and detects the best match texts from signboard text database. For verifying the efficiency of the proposed method, a database dictionary is built using 1.3 million words of nationwide signboard through removing duplicated words. We compared the proposed method to Levenshtein Metric which is one of representative text string comparison algorithms. As a result, the proposed method based on improved Levenshtein metric represents an improvement in recognition rates 31.5% on average compared to that of conventional methods.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.461-470
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• 2009

This study has been prepared based on signboard arrangement works in order to foster Jeonju traditional Korean style house village as a main city of traditional culture. Overall composition has been suggested based on basic direction of signboard design in order to ensure design standardization method and utilization and right installation of various signboards. Enquete had been progressed by dividing into three areas including general characteristics of Korean style house village, acquisition of information and mobility and regulation/range of signboard with taking 600 number of persons from Jeonju citizens, outsiders and residents of Korean style house village as targets. Based on above result, design concept and detailed sign application method had been defined and pictogram and signboard installation method of Korean style house was suggested. As for the administrative procedure and regulations of signboard arrangement, cooperative method among Jeonju City, publicity company, deliberation committee and local residents and administrative project implementation method were suggested. Therefore, this study had summarized the project progress of signboard design for Jeonju traditional Korean style house village so that it may be utilized as a basic data for ensuring that this village would be developed as a region where tradition and history will be well conserved in the future through consultation with the relevant authorities.

• Journal of IKEEE
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• v.20 no.2
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• pp.188-191
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• 2016

In this paper, we propose energy-efficient automatic power controller which can power on and off the signboard at the specified light intensity using the Illuminance Detector. By using segmented section Classification algorithm, light intensity setup system propose variable resistor method which makes users more easy to control. Automatic light on-off system set a standard by measured illuminance data. Measured light-intensity through the Illuminance Detector are communicated with the signboard power controller with wireless communication, and it controls lighting system. In this paper, we evaluated the Energy-Efficient Automatic Power Controller of The Signboard using illuminance detector. Experimental results in lightless environment shows that the error rate is less than 3% by Accredited Testing Laboratories.

• Korean Architects
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• s.650
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• pp.118-119
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• 2023