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采用分段分形维数识别车牌字符
引用本文:肖旺新,张雪,黄卫.采用分段分形维数识别车牌字符[J].交通运输工程学报,2004,4(2):107-110.
作者姓名:肖旺新  张雪  黄卫
作者单位:1. 嘉应学院,计算机系,广东,梅州,514015;东南大学,智能运输系统研究中心,江苏,南京,210096
2. 东南大学,计算机系,江苏,南京,210096
3. 东南大学,智能运输系统研究中心,江苏,南京,210096
摘    要:研究了在小波多尺度分解情况下,采用分形维数描述车牌字符特征,并在分区情况下计算出典型车牌字符的分段分形维数。发现小波变换能获取丰富的车牌字符特征,采用分段分形维数描述车牌解决了单一维数描述车牌字符时,有些字符维数相差太小,导致阈值难以选取的问题。结果表明,小波分形方法是研究车牌字符识别的有效的新方法。

关 键 词:交通信息工程  车牌  字符识别  二次B样条小波  分段分形维数
文章编号:1671-1637(2004)02-0107-04
修稿时间:2003年7月28日

Recognition of vehicle license character based on multi-fractal dimension
XIAO Wang-xin.Recognition of vehicle license character based on multi-fractal dimension[J].Journal of Traffic and Transportation Engineering,2004,4(2):107-110.
Authors:XIAO Wang-xin
Institution:XIAO Wang-xin~
Abstract:Fractal dimension of some typical vehicle license characters were calculated in the condition of three zoning to vehicle license. It is found that prolific property of vehicle license can be obtained through wavelet transform, multi-fractal dimension is a good tool to solve the problem that threshold is hard to decide when too close between some characters using single fractal dimension. Simulation results show that the method is feasible to recognize vehicle license characters. 6 tabs, 2 figs, 13 refs.
Keywords:traffic information engineering  vehicle license  character recognition  quadric B-spline wavelet  multi-fractal dimension
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