English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 58323/91877 (63%)
造訪人次 : 14362153      線上人數 : 137
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/93482

    題名: Multiple License Plate Detection for Complex Background
    作者: Hsieh, Ching-Tang;Juan, Yu-Shan;Hung, Kuo-Ming
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Wavelets transfonn;license plate detection;candidate region verification;character segmentation;k-mean
    日期: 2005-03
    上傳時間: 2014-01-14 15:11:39 (UTC+8)
    出版者: Los Alamitos, California:Institute of Electrical and Electronics Engineers (IEEE)
    摘要: This paper presents a wavelet transfonn based method for extracting license plates from cluttered images. The proposed system consists of three major stages. First, a wavelet transfonn based method is used for extracting important contrast features as guides to search for desired license plates. Then, finding a reference line in HL subimage plays an important role to locate the desired license plate region roughly. According to the reference line we can decrease the searching region of license plate
    and speed up the execution time. The last stage of the method is to locate the license plate accurately by license plate adjustment. More importantly, the proposed detection method can locate multiple plates with different orientations in one image. Since the feature extracted is robust to complex backgrounds, the proposed method works well in extracting differently illuminated and oriented license plates. The average accuracy of detection is 92.4%.
    關聯: Advanced Information Networking and Applications, 2005. AINA 2005. 19th International Conference on, vol.2, pp.389-394
    DOI: 10.1109/AINA.2005.257
    顯示於類別:[資訊工程學系暨研究所] 會議論文


    檔案 描述 大小格式瀏覽次數
    0769522491_2p389-392.pdf265KbAdobe PDF1784檢視/開啟



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