Wavelet Transform Based License Plate Detection for Cluttered Scene

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/46339

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题名:	Wavelet Transform Based License Plate Detection for Cluttered Scene
作者:	Hsieh, Ching-tang;Juan, Yu-shan
贡献者:	淡江大學電機工程學系
关键词:	-Wavelets transform, license plate detection, candidate region verification;character segmentation;k-mean
日期:	2005-01
上传时间:	2010-03-26 22:04:42 (UTC+8)
出版者:	World Scientific and Engineering Academy and Society (WSEAS)
摘要:	This paper presents a wavelet transform based method for extracting license plates from cluttered images. The proposed system consists of three major stages. First, a wavelet transform 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:	WSEAS Transactions on Computers 4(1), pp.30-33
显示于类别:	[電機工程學系暨研究所] 期刊論文

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