• Title/Summary/Keyword: OCR

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Validation of a Rate-Sensitive Model for Clayey Soils (점성토에서 전단속도 의존 모델의 검증)

  • Kim, Dae-Kyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.3
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    • pp.596-601
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    • 2009
  • In this study, the rate-sensitive constitutive model, which was developed in the previous paper of this journal, was validated using the experimental results obtained from the well-calibrated triaxial compression test conducted with the Boston blue clay. The validation was performed for the various cases of the strain rate of 0.05%/hr, 0.5%/hr, 5.0%/hr and OCR of 1, 2, 4, 8. The developed model was validated for the normally and slightly overconsolidated cases; however, the cases of heavily overconsolidation needs further research.

Automatic Notification System of Expiration Date Based on YOLO and OCR algorithm for Blind Person (시각 장애우를 위한 YOLO와 OCR 알고리즘 기반의 유통기한 자동 알림 시스템)

  • Kim, Min-Soo;Moon, Mi-kyung;Han, Chang-hee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.697-698
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    • 2021
  • 본 논문에서는 시각 장애우의 식품 안전성 증진을 위해 광학 문자 인식 (optical character recognition, OCR) 및 실시간 객체 인식 (you only look once, YOLO) 알고리즘에 기반한 식품의 유통기한 자동 알림 시스템을 제안한다. 제안하는 시스템은 1) 스마트폰 카메라를 통해 실시간으로 입력되는 영상에서 YOLO 알고리즘을 활용하여 유통기한으로 예측되는 이미지 영역을 검출하고, 2) 검출된 영역에서 OCR 알고리즘을 활용하여 유통기한 데이터를 추출하며, 3) 최종 추출된 유통기한 데이터를 음성으로 변환하여 시각 장애우에게 전달한다. 개발된 시스템은 유통기한 정보를 추출해서 사용자에게 전달하기까지 평균 약 7초 이내의 빠른 응답 속도를 보였으며, 62.8%의 객체 인식 정확도와 93.6%의 문자 인식 정확도를 보였다. 이러한 결과들은 제안하는 시스템을 시각 장애우들이 실용적으로 활용할 수 있다는 가능성을 보여준다.

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Study on Performance Evaluation of Automatic license plate recognition program using Emgu CV (Emgu CV를 이용한 자동차 번호판 자동 인식 프로그램의 성능 평가에 관한 연구)

  • Kim, Nam-Woo;Hur, Chang-Wu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1209-1214
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    • 2016
  • LPR(License plate recognition) is a kind of the most popular surveillance technology based on accompanied by a video and video within the optical character recognition. LPR need a many process. One is a localization of car license plates, license plate of size, space, contrast, normalized to adjust the brightness, another is character division for recognize the character optical character recognition to win the individual characters, character recognition, the other is phrase analysis of the shape, size, position by year, the procedure for the analysis by comparing the database of license plate having a difference by region. In this paper, describing the results of performance of license plate recognition S/W, which was implemented using EmguCV, find the location, using the tesseract OCR, which are well known to an optical character recognition engine of open source, the characters of the license plate image capturing angle of the plate, image size, brightness.

Design and Implementation of OCR Correction Model for Numeric Digits based on a Context Sensitive and Multiple Streams (제한적 문맥 인식과 다중 스트림을 기반으로 한 숫자 정정 OCR 모델의 설계 및 구현)

  • Shin, Hyun-Kyung
    • The KIPS Transactions:PartD
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    • v.18D no.1
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    • pp.67-80
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    • 2011
  • On an automated business document processing system maintaining financial data, errors on query based retrieval of numbers are critical to overall performance and usability of the system. Automatic spelling correction methods have been emerged and have played important role in development of information retrieval system. However scope of the methods was limited to the symbols, for example alphabetic letter strings, which can be reserved in the form of trainable templates or custom dictionary. On the other hand, numbers, a sequence of digits, are not the objects that can be reserved into a dictionary but a pure markov sequence. In this paper we proposed a new OCR model for spelling correction for numbers using the multiple streams and the context based correction on top of probabilistic information retrieval framework. We implemented the proposed error correction model as a sub-module and integrated into an existing automated invoice document processing system. We also presented the comparative test results that indicated significant enhancement of overall precision of the system by our model.

Endogenous Rhythm in Oxygen Consumption by the Pacific Oyster Crassostrea gigas (Thunberg)

  • Kim Wan-Soo;Yoon Seong-Jin;Kim Yoon;Kim Sung-Yeon
    • Fisheries and Aquatic Sciences
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    • v.5 no.3
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    • pp.191-199
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    • 2002
  • Pacific oysters Crassostrea gigas (Thunberg) were collected on April, 1999 and March­September, 2000 from Goseung Bay along the southern coast of Korea. The oysters tested cp;;ected from a depth of 0.5-2 m in which they cultured by a long line hanging method. The oxygen consumption rates (OCR) of oysters held under constant temperature and darkness (CC), were determined using an automatic intermittent-flow-respirometer (AIFR). Depending on holding periods after oyster collection, the experiments were divided into two groups: Group 7-d (held to ambient temperature for ca. 7 days) and Group 2l-d (held to ambient temperature for ca. 21 days). The OCR for Group 7-d single oyster displayed two peaks every day under CC, while Group 2l-d single oyster showed one peak every day. It is likely that the rhythmic patterns 02.6-12.8 hours) of the OCR in the Group 7-d single oyster may have been influenced by tidal currents at the sampling site. The rhythmic patterns (24.3-24.7 hours) in the Group 2l-d single oyster may have been shifted from two peaks to one peak each day under CC. The present study concludes that the OCR rhythm of wild oysters in nature is governed by two lunar-day clocks (24.8 hours); one driving one peak and the other driving the second peak. When oysters are subjected to the long-term CC conditions, one of the two-clock systems is depressed or only intermittently becomes active. Jpwever. the OCR rhythms by two to three oysters occurred arrhythmic patterns during the experiments and exhibited some evidence of weak rhythmicity of compared to those of a single oyster. It could be partly due to differences group effects.

Effects of Anisotropic Consolidation on the Postcyclic Undrained Shear Strength of an Overconsolidated Clay (이방압밀이 반복하중을 받은 과압밀점토의 비배수전단강도에 미치는 영향)

  • Gang, Byeong-Hui;Yun, Hyeong-Seok;Park, Dong-Jin
    • Geotechnical Engineering
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    • v.14 no.1
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    • pp.37-48
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    • 1998
  • The effects of consolidation stress history including consolidation stress ratio, OCR and cyclic loading with drainage on the undrained shear strength of cohesive soil were investig toted. The ratio$(S_u/\sigma'_{vc})ckou/(S_U/\sigma_{vc})cuv$ was observed to increase with increasing OCR. The equation (1) in this paper by Mayne(1980) for the undrained shear strength of the overconsolidated clay and the equation (4) by Yasuhara(1994), for the postcyclic shear strength were found to be relatively well applicable in the case of Kofonsolidated. It was also suggested that the value of the critical state pore pressure parameter As in these two equations for the in situ shear strength of lightly overconsolidated clay(OCR< 3) be obtained by the standard consolidating test.

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Building Database using Character Recognition Technology (문자 인식 기술을 이용한 데이터베이스 구축)

  • Han, Seon-Hwa;Lee, Chung-Sik;Lee, Jun-Ho;Kim, Jin-Hyeong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.7
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    • pp.1713-1723
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    • 1999
  • Optical character recognition(OCR) might be the most plausible method in building database out of printed matters. This paper describes the points to be considered when one selects an OCR system in order to build database. Based on the considerations, we evaluated four commercial OCR systems, and chose one which shows the best recognition rate to build OCT-text database. The subject text, the KT-test collection, is a set of abstracts from proceedings of different printing quality, fonts, and formats. KT-test collection is also provided with typed text database. Recognition rate was calculated by comparing the recognition result with the typed text. No preprocessing such as learning and slant correction was applied to the recognition process in order to simulate a practical environment. The result shows 90.5% of character recognition rate over 970 abstracts. This recognition rate is still insufficient for practical use. The errors in OCR texts are different from those of manually typed texts. In this paper, we classify the errors in OCR texts for the further research.

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A Developing a Machine Leaning-Based Defect Data Management System For Multi-Family Housing Unit (기계학습 알고리즘 기반 하자 정보 관리 시스템 개발 - 공동주택 전용부분을 중심으로 -)

  • Park, Da-seul;Cha, Hee-sung
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.5
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    • pp.35-43
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    • 2023
  • Along with the increase in Multi-unit housing defect disputes, the importance of defect management is also increased. However, previous studies have mostly focused on the Multi-unit housing's 'common part'. In addition, there is a lack of research on the system for the 'management office', which is a part of the subject of defect management. These resulted in the lack of defect management capability of the management office and the deterioration of management quality. Therefore, this paper proposes a machine learning-based defect data management system for management offices. The goal is to solve the inconvenience of management by using Optical Character Recognition (OCR) and Natural Language Processing (NLP) modules. This system converts handwritten defect information into online text via OCR. By using the language model, the defect information is regenerated along with the form specified by the user. Eventually, the generated text is stored in a database and statistical analysis is performed. Through this chain of system, management office is expected to improve its defect management capabilities and support decision-making.

Implementation of OCR System Based on Smart Phone (스마트폰 기반 OCR 시스템의 구현)

  • Heo, Jin-Kyu;Kim, Hyun-Gon;Jang, Min-Seok;Jang, Seok-Hwan;Kwon, Soon-Kak;Park, Yoo-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.500-503
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    • 2012
  • 스마트폰은 폭발적인 성장세와 더불어 어플리케이션의 시장규모가 크게 증대될 것으로 예상된다. 본 논문에서는 직접 사진을 캡처 시킨 문자들을 텍스트로 변환시켜주고 데이터베이스를 이용해서 그 문자들의 의미를 표현하는 어플리케이션을 구현한다. 어플리케이션의 기능으로는 텍스트로 변환하고자 하는 사진을 찍거나 혹은 앨범에 있는 사진을 불러내어 텍스트로 변환을 시켜서 상대방에게 메시지나 블루투스 등을 이용하여 전송을 가능하게 해줄 수 있으며, 글꼴을 바꾼다거나 크기 등 편집 기능까지 추가적으로 가능하도록 할 수 있다. 이 어플리케이션으로 인한 효과로 인터넷이나 거리를 돌아다니다가 원하는 문구가 있으면 바로 원하는 상대방에게 쉽고 간편하고 빠르게 전달할 수 있는 편리함 등이 있다.

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Normalized characteristics of the photonic bandgaps in two-dimensional photonic crystals with a hexagonal lattice by FDID simulation (FDTD 시뮬레이션을 이용한 육방정계형 2차원 광자결정에서의 광자밴드갭 특성 정규화)

  • Yeo, Jong-Bin;Lee, Hyun-Yong
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2009.06a
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    • pp.38-38
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    • 2009
  • Characteristics of the photonic bandgaps (PBGs) in two-dimensional photonic crystals (2D PCs) with a hexagonal lattice have theoretically studied using a finite difference time domain (FDTD) simulation. In this research, we propose a concept of optical coverage ratio (OCR) as a new structural parameter to determine the PBGs for E-polarized light. The OCR is an optically compensated filling factor. It is possible to normalize the PBGs of 2D PCs by introducing the OCR.

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