• 제목/요약/키워드: license

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Character Level and Word Level English License Plate Recognition Using Deep-learning Neural Networks (딥러닝 신경망을 이용한 문자 및 단어 단위의 영문 차량 번호판 인식)

  • Kim, Jinho
    • Journal of Korea Society of Digital Industry and Information Management
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    • 제16권4호
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    • pp.19-28
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    • 2020
  • Vehicle license plate recognition system is not generalized in Malaysia due to the loose character layout rule and the varying number of characters as well as the mixed capital English characters and italic English words. Because the italic English word is hard to segmentation, a separate method is required to recognize in Malaysian license plate. In this paper, we propose a mixed character level and word level English license plate recognition algorithm using deep learning neural networks. The difference of Gaussian method is used to segment character and word by generating a black and white image with emphasized character strokes and separated touching characters. The proposed deep learning neural networks are implemented on the LPR system at the gate of a building in Kuala-Lumpur for the collection of database and the evaluation of algorithm performance. The evaluation results show that the proposed Malaysian English LPR can be used in commercial market with 98.01% accuracy.

A Study on the License Plate Recognition Based on Direction Normalization and CNN Deep Learning (방향 정규화 및 CNN 딥러닝 기반 차량 번호판 인식에 관한 연구)

  • Ki, Jaewon;Cho, Seongwon
    • Journal of Korea Multimedia Society
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    • 제25권4호
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    • pp.568-574
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    • 2022
  • In this paper, direction normalization and CNN deep learning are used to develop a more reliable license plate recognition system. The existing license plate recognition system consists of three main modules: license plate detection module, character segmentation module, and character recognition module. The proposed system minimizes recognition error by adding a direction normalization module when a detected license plate is inclined. Experimental results show the superiority of the proposed method in comparison to the previous system.

Twowheeled Motor Vehicle License Plate Recognition Algorithm using CPU based Deep Learning Convolutional Neural Network (CPU 기반의 딥러닝 컨볼루션 신경망을 이용한 이륜 차량 번호판 인식 알고리즘)

  • Kim Jinho
    • Journal of Korea Society of Digital Industry and Information Management
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    • 제19권4호
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    • pp.127-136
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    • 2023
  • Many research results on the traffic enforcement of illegal driving of twowheeled motor vehicles using license plate recognition are introduced. Deep learning convolutional neural networks can be used for character and word recognition of license plates because of better generalization capability compared to traditional Backpropagation neural networks. In the plates of twowheeled motor vehicles, the interdependent government and city words are included. If we implement the mutually independent word recognizers using error correction rules for two word recognition results, efficient license plate recognition results can be derived. The CPU based convolutional neural network without library under real time processing has an advantage of low cost real application compared to GPU based convolutional neural network with library. In this paper twowheeled motor vehicle license plate recognition algorithm is introduced using CPU based deep-learning convolutional neural network. The experimental results show that the proposed plate recognizer has 96.2% success rate for outdoor twowheeled motor vehicle images in real time.

A Study on the Matter of Double Contract for Trademark License in China (중국의 상표사용허가계약의 중첩체결에 관한 연구)

  • SONG, Soo-Ryun
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • 제73권
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    • pp.1-20
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    • 2017
  • There are many safeguards and measures available regulating the protection of a trademark and its registered holder, however, the protection of a licensee in a trademark license agreement is also important for protection of a intellectual property. Therefore, there are several measures in place for the protection of licensees' interests in Chinese trademark law. Article 43(3) of the Chinese Trademark Law rules a licensor who licenses others to use his registered trademark shall submit the trademark licensing to the trademark office for file, and the trademark office shall announce the trademark licensing to public. Without filing, the trademark licensing shall not be used against a bona fide third party. It means a licensee can not use an unrecorded license with the relevant trademark authority against third parties - essentially, this means that a licensee should insist on having their trademark license agreements recorded against the relevant trademark authority, so that a licensee's interests are protected as against the assignees, licensees and other types of third parties. Otherwise a third party in good faith can use the registered trademark legally against a licensee even though a trademark license agreement between a licensor and licensee is still valid.

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Vehicle License Plate Recognition System using DCT and LVQ (DCT와 LVQ를 이용한 차량번호판 인식 시스템)

  • 한수환
    • Journal of Intelligence and Information Systems
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    • 제8권1호
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    • pp.15-25
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    • 2002
  • This paper proposes a vehicle license plate recognition system, which has relatively a simple structure and is highly tolerant of noise, by using the DCT(Discrete Cosine Transform) coefficients extracted from the character region of a license plate and the LVQ(Learning Vector Quantization) neural network. The image of a license plate is taken from a captured vehicle image based on RGB color information, and the character region is derived by the histogram of the license plate and the relative position of individual characters in the plate. The feature vector obtained by the DCT of extracted character region is utilized as an input to the LVQ neural classifier fur the recognition process. In the experiment, 109 vehicle images captured under various types of circumstances were tested with the proposed method, and the relatively high extraction rate of license plates and recognition rate were achieved.

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A Legal Consideraton of License and Certified Qualification of Paramedics (응급구조사의 자격과 면허에 대한 소고)

  • Kang, Sun-Joo
    • The Korean Journal of Emergency Medical Services
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    • 제15권2호
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    • pp.5-14
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    • 2011
  • Purpose: The aim of this study is to identify the legal concept of a license and a qualification for health care personnel. We analyze the appropriateness of the qualification for the first-class paramedics and the sufficiency of 3-year job experience in substitution for college level academic major. Method: We reviewed Laws on Healthcare which stipulate academic and career qualifications for healthcare personnel for whom college-level academic training and job experience to get a license. Results: There is no legal consideration which permits major and educational background substituted by job experience. Only third-class hygienist who graduated from a high school or the equivalent with 3 year job experience can apply for first-class hygienist' national license examination without educational requirements. However, it is nothing to compare with first-class paramedics because the work of hygienist is not directly related to patients care and there is no need of doctor's supervision for hygienist' job. Paramedics have a major role in saving emergency patients in making prompt decision, applying appropriate emergency treatment, securing intravenous route, managing intubation, applying defibrillator, and etc. Conclusion: Ministry of Health & Welfare should grant license to paramedics and annul replacement of academic major background. In addition, it is imperative to broaden the scope of paramedics' job so that they can guarantee patient's life saving in emergency situation with quality major curriculum of college level.

Disputes Patterns and Resolution Approaches in the Global Trading of Digital Goods (디지털상품의 국제거래 유형과 분쟁 해결방안)

  • Shim, Sang-Ryul;Jeong, Yoon-Say
    • Journal of Arbitration Studies
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    • 제17권3호
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    • pp.145-167
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    • 2007
  • Digital goods are defined as intangible and non-physical goods, composed of a combination of digital signals, electronically represented as 0 and 1. They are also called as digital products, electronic transmissions, information goods, digital contents, computer information, etc. Digital goods are now traded both domestically and internationally as well as on-line and off-line. Korean government revised the Basic Law on Foreign Trade to include digital goods and services as the scope of foreign trade in 2001. Trade volume of digital goods are increasing in Korea. The supply chains of digital goods from producing the components to selling globally to consumers are different from conventional physical goods. Mostly, digital goods are traded on the license basis rather than ownership contract. End User License Agreements(EULAs), such as shrink-wrap, click- wrap, or browser-wrap licenses are very popular in online transactions. Unlike conventional physical goods. the breach of license contract is closely linked with the infringement of intellectual property rights. Digitalized intellectual property is easy to copy and transmit in the cyber space. In cases of legal disputes from the breach of license contract, commercial arbitration or on-line alternative dispute resolutions(ADRs) are regarded as better approach to solve them rather than court sues. For promoting more secure and reliable international trade of digital goods. arbitration clauses should be included in most of license contracts.

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Vehicle License Plate Recognition System using SSD-Mobilenet and ResNet for Mobile Device (SSD-Mobilenet과 ResNet을 이용한 모바일 기기용 자동차 번호판 인식시스템)

  • Kim, Woonki;Dehghan, Fatemeh;Cho, Seongwon
    • Smart Media Journal
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    • 제9권2호
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    • pp.92-98
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    • 2020
  • This paper proposes a vehicle license plate recognition system using light weight deep learning models without high-end server. The proposed license plate recognition system consists of 3 steps: [license plate detection]-[character area segmentation]-[character recognition]. SSD-Mobilenet was used for license plate detection, ResNet with localization was used for character area segmentation, ResNet was used for character recognition. Experiemnts using Samsung Galaxy S7 and LG Q9, accuracy showed 85.3% accuracy and around 1.1 second running time.

Legal Relation of Parties on Transactions in UCITA (UCITA상의 전자정보거래 당사자 간의 법률관계)

  • Oh, Byoung-Cheol
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • 제29권
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    • pp.197-223
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    • 2006
  • Uniform Computer Information Transactions Act (UCITA) is the first legislative attempt in the world that deals with transaction of digital information. This however gave rise to endless controversies and as of February 10, 2003, its life as the uniform law has expired. There are four kinds of relationships that UCITA regulates for the entities involved in information trading namely, 1) Relationship between licenser and licensee 2) The triangle relationship between dealers, end-user and publisher 3) Relationship between information right transferor and transferee 4) Relationship between financier, licenser and licensee. Amongst these, the most significant one is the triangle relationship amongst the publisher, commonly known as the licenser in the mass market, end-user and dealer. At the essence of the relationship is that the dealers is liable to refund the payment for the information regarding the end user if he/she does not agree with the publisher on the license of the common market. Looking at the relationship between license transferor and transferee, the transfer of license may be prohibited but the special contract must be conspicuously carried out. The relationship financier, licenser and licensee is unique to the United States and is rather unfamiliar to us. UCITA has been criticized for preferentially protecting the benefits of licensers especially when it comes to the specific regulations for the relationship. Therefore, it is not advisable to blindly accept UCITA regulations. However, UCITA does have components that we can utilize in formulating our own digital information trade regulations, save its proprietary nature as an American law and its preferential treatment for licensers.

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A Study For Automobile License Plate Extraction Using DCT and Correlation (DCT와 Correlation을 이용한 자동차번호판 추출에 관한 연구)

  • 경보현;손태주;남궁연;남궁재찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제25권7A호
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    • pp.1050-1056
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    • 2000
  • In this paper, We Propose the automobile license plate extraction method using Discrete Cosin Transform and Correlation fem automobile image obtained through digital camera. The automobile license plate is consisted of the character and rectangle background of it. We extracted the automobile edge image by the DCT processing of automobile image and Obtained the automobile license plate from the automobile edge image by Correlation processing. We separated characters from automobile license plate using the projection histogram. Compare to the previous methods, we obtained the good result from extracting the automobile license plate at night, very strong light and bad weather.

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