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      KCI등재 SCIE SCOPUS

      LICENSE PLATE LOCATION METHOD UNAFFECTED BY VARIATION IN SIZE AND ASPECT RATIO

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      https://www.riss.kr/link?id=A104637410

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      다국어 초록 (Multilingual Abstract)

      License plate location is a challenging task that is necessary for automatic vehicle identification. This paper presents a new method for locating a license plate when its size and aspect ratio are highly variable. The proposed method begins with an a...

      License plate location is a challenging task that is necessary for automatic vehicle identification. This paper presents a new method for locating a license plate when its size and aspect ratio are highly variable. The proposed method begins with an assumption that a license plate exists in a region where dense edges are located. We define an edge region as an area containing rich edges. The edge regions are created by dilating vertical edges, and they are classified into one of four types: left fragment type, right fragment type, whole type, and undefined type. The candidates for a license plate region are constructed by merging edge regions. Knowing what type of edge region is being examined is useful in the merging process.
      Finally, we verify whether each candidate contains a license plate or not by using the character arrangement information. The arrangement pattern is determined by the size of connected components and by the vertical overlap or horizontal distance between two neighboring components. Experimental results show that the proposed method gives robust results regardless of any variation in the size and aspect ratio of license plates.

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      참고문헌 (Reference)

      1 Yang, F, "Vehicle license plate location based on histogramming and mathematical morphology" 89-94, 2005

      2 Shapiro, V, "Towards a multinational car license plate recognition system" 17 : 173-183, 2006

      3 Li, G, "Research on vehicle license plate location based on neural networks" 174-177, 2006

      4 Jia, W, "Region-based license plate detection" 30 : 1324-1333, 2007

      5 Anagnostopolus, E. C, "License plate recognition from still images and video sequences: A survey" 9 (9): 377-391, 2008

      6 Guo, J.-M, "License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques" 57 (57): 1417-1424, 2008

      7 Wu, H. P, "License plate extraction in low resolution video" 824-827, 2006

      8 Zhang, H, "Learningbased license plate detection using global and local features" 2 : 1102-1105, 2006

      9 Kim, K. I, "Color texturebased object detection: An application to license plate localization" 2388 : 293-309, 2002

      10 Gao, D.-S, "Car license plates detection from complex scene" 2 : 1409-1414, 2000

      1 Yang, F, "Vehicle license plate location based on histogramming and mathematical morphology" 89-94, 2005

      2 Shapiro, V, "Towards a multinational car license plate recognition system" 17 : 173-183, 2006

      3 Li, G, "Research on vehicle license plate location based on neural networks" 174-177, 2006

      4 Jia, W, "Region-based license plate detection" 30 : 1324-1333, 2007

      5 Anagnostopolus, E. C, "License plate recognition from still images and video sequences: A survey" 9 (9): 377-391, 2008

      6 Guo, J.-M, "License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques" 57 (57): 1417-1424, 2008

      7 Wu, H. P, "License plate extraction in low resolution video" 824-827, 2006

      8 Zhang, H, "Learningbased license plate detection using global and local features" 2 : 1102-1105, 2006

      9 Kim, K. I, "Color texturebased object detection: An application to license plate localization" 2388 : 293-309, 2002

      10 Gao, D.-S, "Car license plates detection from complex scene" 2 : 1409-1414, 2000

      11 Chang, S.-L, "Automatic license plate recognition" 5 (5): 42-53, 2004

      12 Zheng, D, "An efficient method of license plate location" 26 : 2431-2438, 2005

      13 Mahini, H, "An efficient features-based license plate localization method" 2 : 841-844, 2006

      14 Niblack,W, "An Introduction to Digital Image Processing" Prentice Hall 1986

      15 Yang, Y.-Q, "A vehicle license plate recognition system based on fixed color collocation" 5394-5397, 2005

      16 Otsu,N, "A threshold selection method from graylevel histogram" 9 (9): 62-66, 1979

      17 Youssef, M. S, "A smart access control using an efficient license plate location and recognition approach" 34 : 256-265, 2008

      18 Kong, J, "A novel license plate location method based on textural feature analysis" 275-279, 2005

      19 Bai, H, "A fast license plate extraction method on complex background" 2 : 985-987, 2003

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-06-10 학술지명변경 한글명 : 한국자동차공학회 영문논문집 -> International Journal of Automotive Technology
      외국어명 : International Journal of Automotive Tech -> International Journal of Automotive Technology
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 SCIE 등재 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.14 0.53 0.85
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.71 0.62 0.534 0.03
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