• Journal of Conservation Science
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• v.37 no.3
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• pp.255-269
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• 2021

A vast amount of materials-such as prints, woodblock prints, manuscripts, old novels, and letters-written in old Korean and using old grammar and/or obsolete characters, are collected in many institutions, including the Jangseogak at the Academy of Korean Studies. Digitization of these texts has required a prolonged manual inputting process. Individual researchers, who majored in old Korean, have read and typed the characters into electronic documents, which depends upon individual skill, effort, and approach, and is particularly limiting because none can be significantly increased. To date, only a small proportion of the old Korean document collections, currently kept in storage, have been digitized and made available to the public. Even the electronic formats of the texts prove difficult to displaying correctly, due to the incompatibility between the old Korean characters and the character set on today's electronic devices. To improve the techniques and efficiency of digitizing old Korean texts, it is necessary to develop optical character recognition (OCR), which will analyze images of old Korean documents, as well as input, display, and storage methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.651-656
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• 2017

In this study, we designed the system that helps drivers check all information about parking space at the entrance and find out whether the places is available or not, because the system has 'Image recognition function' which can even recognize car number plates exactly. Besides, we place the webcam close to the car number plate, so that car number can be identified more quickly. Finally, since we set the webcam high, the system keeps us from parking wrong places by displaying on the screen.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.357-364
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• 2005

In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by using two-level image-to-image matching. The system is composed of character segmentation, creating a query image, feature extraction, and matching procedure. Two different feature vectors are used in the matching procedure. An experiment using 1600 Hangul word images from 8 document images, downloaded from the website of Korea Information Science Society, demonstrates that the proposed system is superior to conventional image-based document retrieval systems.

• The Journal of Bigdata
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• v.5 no.1
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• pp.29-39
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• 2020

Purpose The atmosphere of respect for individual tastes that have spread throughout society has changed the consumption trend. As a result, the travel industry is also seeing customized travel as a new trend that reflects consumers' personal tastes. In particular, there is a growing interest in 'film-induced tourism', one of the areas of travel industry. We hope to satisfy the individual's motivation for traveling while watching movies with customized travel proposals, which we expect to be a catalyst for the continued development of the 'film-induced tourism industry'. Design/methodology/approach In this study, we implemented a methodology through 'OCR' of extracting and suggesting film location information that viewers want to visit. First, we extract a scene from a movie selected by a user by using 'OpenCV', a real-time image processing library. In addition, we detected the location of characters in the scene image by using 'EAST model', a deep learning-based text area detection model. The detected images are preprocessed by using 'OpenCV built-in function' to increase recognition accuracy. Finally, after converting characters in images into recognizable text using 'Tesseract', an optical character recognition engine, the 'Google Map API' returns actual location information. Significance This research is significant in that it provides personalized tourism content using fourth industrial technology, in addition to existing film tourism. This could be used in the development of film-induced tourism packages with travel agencies in the future. It also implies the possibility of being used for inflow from abroad as well as to abroad.

• Transactions of the Society of Information Storage Systems
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• v.11 no.1
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• pp.6-10
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• 2015

Optical library system consists of disc magazines, cabinets, transfer robot and drive. Transfer robot delivers desired disc or magazine in cabinet to drive which reads data of disc. Conventional archive system stores discs in a line and transfer robot moves in one dimension. However, to store more discs, new optical archive system, optical library system, is developed which stores discs in two dimension like bookcase. Transfer robot should know the position and stored data of desired magazine to get correct data. In this paper, addressing algorithm using optical character recognition is proposed. Proposed algorithm is evaluated by experiments with implemented system.

• Electronics and Telecommunications Trends
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• v.4 no.4
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• pp.85-97
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• 1989

슈퍼나 소매점등에서 판매되는 상품의 포장을 자세히 살펴보면 흑색과 백색의 줄무늬가 인쇄되어 있는 것을 볼수가 있다. 이것을 bar code라고 하는 데 국명, 메이커명, 상품명등을 수치화하여 하나의 코드로 만들고 그것을 독해하여 가격을 산출하고 정산업무를 신속하고 정확하게 처리하면서 자료를 모아 해석하여 재고 관리, 발주, 매입 업무를 합리화하고 이를 정보 네트워크에 의하여 수요에 대응한 판매를 전개하는 등 물자의 유통관리에 폭넓게 이용되고 있다. 즉 bar code system은 흑색 또는 백색의 굵은 bar와 가는 bar의 구성에 의하여 하나의 성질 (숫자, 기호, 알파벳 문자)을 나타내고 그 연속을 광학식 입력수단을 통하여 하나의 코드에 정리한 자동화된 데이터수집(Automated Data Collection)방법으로 활용되고 있다. 본고에서는 이러한 bar code의 동작, 구성, 인식장치의 원리와 활용사례를 기술하였다.

• Journal of Korea Multimedia Society
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• v.18 no.8
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• pp.943-949
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• 2015

A reader usually spends a lot of time browsing and searching word meaning in a dictionary, internet or smart applications in order to find the unknown words. In this paper, we propose a method to compensate this drawback. The proposed method introduces a vocabulary upon recognizing a word or group of words that was captured by a smart phone camera. Through this proposed method, organizing and editing words that were captured by smart phone, searching the dictionary data using bisection method, listening pronunciation with the use of speech synthesizer, building and editing of vocabulary stored in database are given as the features. A smart phone application for organizing English words was established. The proposed method significantly reduces the organizing time for unknown English words and increases the English learning efficiency.

• Annual Conference on Human and Language Technology
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• 1994.11a
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• pp.505-517
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• 1994

국어 철자 검색 프로그램 세 개의 검색 능력을 비교하였다. 오류가 없는 파일, 타자시의 전형적인 오류를 포함하는 파일(자소별 오류율 1%), 그리고 광학적 문자인식 프로그램의 전형적인 오류를 포함하는 파일(자소별 오류율 $2.7{\sim}2.9%$) 등에 대하여 한글과 컴퓨터, 한국 마이크로소프트, 핸디 소프트의 워드프로세서에 도구로 포함된 철자검색 프로그램을 수행하였다. 이 세 프로그램 중에서 한글과 컴퓨터의 제품은 정방향 오판율과 오류율 낮은 파일에 대한 역방향 오판율이 낮았고 핸디 소프트의 제품은 오류율이 높은 파일에 대한 역방향 오판율이 낮았다. 세 프로그램 모두 역방향 오판율이 자소별 오류율의 10배 이상이라는 점에 있어서 심각한 문제를 안고 있는 것으로 판단된다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.6B
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• pp.820-827
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• 2001

한글은 둘 또는 세 개의 자모가 사각형 영역 안에 적절히 배치된 구조로 되어 있다. 이와 같은 구성 방법에 따라 글자의 영상을 합성하고 이를 실시간에 Pseudo 2D HMM으로 변환하는 방법을 제안한다. 본 방법에 따라 실시간 합성된 모델과 추가의 필러(filler) 모델, 여백 모델을 문서 영상의 글자 영역에서 핵심어 검출에 적용하였다. 실험 결과 최소한의 설계 변수 조정으로도 오검출, 미검출률이 낮고 언어 모델 없이 숫자 89%, 한글 80%의 검출성능을 보였으며, 따라서 제안된 방법이 인쇄 문자 패턴의 실시간 모델링 및 키워드 검출에 효과가 있음을 보였다. 본 연구 결과는 내용 기반의 광학 문서 색인 등에 활용할 수 있다.

• Journal of the Korean Society for information Management
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• v.9 no.1
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• pp.131-164
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• 1992

In this study. a technical report management system using optical technology is described in detail. This management system is designed for both bibliographic (character) and full-text (image) information. Several optical filing systems already on the Korean market are scrutinized and compared with standard functions in order to build a more efficient management system for technical reports which can be easily integrated into existing KRISS library automation system. For that purpose, up-to-date technologies (i.e., digital image PI-ocessing (DIP), MARC standards, and optical character recognition (OCR), etc.) are applied to this system.