English  |  正體中文  |  简体中文  |  Items with full text/Total items : 60868/93650 (65%)
Visitors : 1147069      Online Users : 13
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/37475

    Title: Efficiently locating vehicle license plates based on vertical line detection
    Authors: Horng, Wen-bing;Wu, Mong-tsung;Fan, Chun-hai
    Contributors: 淡江大學資訊工程學系;淡江大學運輸管理學系
    Date: 1999-08-22
    Issue Date: 2010-01-11 13:32:19 (UTC+8)
    Abstract: A fast method for locating vehicle license plates is proposed in this paper. This approach is primarily based on the observations that the intensity contrast between license plate background color and symbol color is high and that symbol edges are clustered in the plate area. A simple edge detection method based on first derivatives is applied to a car image such that the binary image containing only vertical edges is obtained. Then possible plate regions could be located from the horizontal and vertical projections of the binary image. No preprocessing, such as image enhancement and noise filtering, is required. In addition to its simplicity and fastness, the proposed method is less sensitive to illumination changes of the plate. The proposed method was experimented with 117 diverse car images on a Pentium-133 processor. The system successfully located 116 license plates in 0.2 second on an average.
    Relation: 第十二屆電腦視覺、圖學暨影像處理研討會論文集(CVGIP99),頁728-733
    Appears in Collections:[資訊工程學系暨研究所] 會議論文
    [運輸管理學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    Papers-HoWF99.pdf798KbAdobe PDF366View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback