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基于BP神经网络的车牌自动定位方法
引用本文:傅德胜,范春年. 基于BP神经网络的车牌自动定位方法[J]. 微计算机应用, 2006, 27(4): 409-410
作者姓名:傅德胜  范春年
作者单位:南京信息工程大学计算机科学与技术系,南京,210044
摘    要:提出了基于BP神经网络的车牌自动定位方法。实验表明,由此建立的车牌自动定位模型适角于各类机动车辆,总定位率为99.5%,达到了业务使用的要求。

关 键 词:自动定位  机动车辆  BP神经网络  自适应
收稿时间:2004-07-08
修稿时间:2004-07-08

A License Plate Automatic Locating Algorithm Based on Back Propagation Artificial Neural Network
FU Desheng,FAN Chunnian. A License Plate Automatic Locating Algorithm Based on Back Propagation Artificial Neural Network[J]. Microcomputer Applications, 2006, 27(4): 409-410
Authors:FU Desheng  FAN Chunnian
Abstract:This paper presents a license plate automatic locating algorithm based on back propagation artificial neural network. The experiment shows that a license plate automatic locating model based on the algorithm is applicable in motor vehicles of all kinds, and its locating precision rate achieves 99.5%, and it achieves practical requirements.
Keywords:automatic locating  motor vehicles  back propagation artificial neural network  adaptive automatic locating  motor vehicles  back propagation artificial neural network  adaptive
本文献已被 CNKI 维普 万方数据 等数据库收录!
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