Wavelet Transform Based License Plate Detection for Cluttered Scene

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/46339

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46339

Title:	Wavelet Transform Based License Plate Detection for Cluttered Scene
Authors:	Hsieh, Ching-tang;Juan, Yu-shan
Contributors:	淡江大學電機工程學系
Keywords:	-Wavelets transform, license plate detection, candidate region verification;character segmentation;k-mean
Date:	2005-01
Issue Date:	2010-03-26 22:04:42 (UTC+8)
Publisher:	World Scientific and Engineering Academy and Society (WSEAS)
Abstract:	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%.
Relation:	WSEAS Transactions on Computers 4(1), pp.30-33
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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