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    题名: Multiple License Plate Detection for Complex Background
    作者: Hsieh, Ching-Tang;Juan, Yu-Shan;Hung, Kuo-Ming
    贡献者: 淡江大學電機工程學系
    关键词: Wavelets transfonn;license plate detection;candidate region verification;character segmentation;k-mean
    日期: 2005-03
    上传时间: 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
    显示于类别:[資訊工程學系暨研究所] 會議論文


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