Multiple License Plate Detection for Complex Background

doi:10.1109/AINA.2005.257

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 會議論文 > Item 987654321/93482

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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

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