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基于边缘分析和纹理信息统计的车牌定位研究 被引量:1

Research of license plate localization based on edge analysis and texture information statistic
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摘要 车牌定位是车牌识别技术的关键环节之一。对车辆图像进行边缘分析二值化处理,再结合纹理统计进行车牌定位,可以克服复杂背景的弱边缘信息和干扰噪音所带来的影响,较好滤除可疑车牌区域。实验结果表明,使用该方法可以较好的实现车牌定位。 License plate location is one of the key to License Plate Recognition Technology.Using image of Edge analysis and binarization processing,combined with texture information statistics to conduct license plate location,this can overcome the impact of the weak edge information in complex background and noise interference,it can also filter the region of suspicious license plate.Experimental results show that this method can be reasonable to achieve license plate location.
作者 林明儒
出处 《阜阳师范学院学报(自然科学版)》 2010年第3期66-69,共4页 Journal of Fuyang Normal University(Natural Science)
关键词 车牌定位 二值化 边缘检测 纹理信息统计 license plate location binarization edge detection texture information statistics
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  • 1廖岳,万峰,杜明辉.弹性模板匹配算法中的特征选择[J].计算机应用,2004,24(B12):212-214. 被引量:5
  • 2汤志勇,杨晨晖,王炳波.车牌识别系统中智能算法应用研究[J].交通与计算机,2005,23(2):30-33. 被引量:3
  • 3张禹,马驷良,韩笑,张忠波.车牌识别中的图像提取及分割算法[J].吉林大学学报(理学版),2006,44(3):406-410. 被引量:16
  • 4宋怀波,路长厚,王富春.基于小区域字符模板匹配的金属标牌字符串识别[J].武汉理工大学学报,2007,29(6):125-127. 被引量:7
  • 5Yu Mei,KimYong Deak.Approach to Korean license plate recognition based on vertical edge matching[C]//Proceedings of the IEEE International Conference on Systems,Man and Cybernetics,2000,4: 2975-2980.
  • 6Ma Miao,Tian Hongpeng,Hao Chongyang.Image denoising using grey relational analysis in spatial domain[C]//Proceedings of SPIE- The International Society for Optical Engineering on Visual Communications and Image Processing,2005,5960( 1 ) :335-342.
  • 7Lu Yinghua,Yu Lijie,Kong Jun,et al.A novel license plate location method based on neural network and saturation information[C]// 18th Australian Joint Conference on Artificial Intelligence,2005: 1037-1040.
  • 8Hsieh Ching-Tang,Juan Yu-Shan.Wavelet transform based license plate detection for cluttered scene[J].WSEAS Transactions on Computers, 2005,4( 1 ) : 30-33.
  • 9Lu Y I.Machine printed character segmentation-An overview[J].Pattern Recognition,2003(28):25-27.
  • 10Casey R G,Lecolinet E.A Survey of Methods and Strategies in Character Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1996,18(7):690-706.

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