| 基于自适应小波神经网络的字符识别算法及其应用 |
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| 引用本文： | 潘永惠,吴懋刚.基于自适应小波神经网络的字符识别算法及其应用[J].淮阴师范学院学报(自然科学版),2008,7(1):72-76. |
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| 作者姓名： | 潘永惠 吴懋刚 |
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| 作者单位： | 江南大学,信息工程学院,江苏,无锡,214036;江阴职业技术学院,计算机系,江苏,江阴,214405 |
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| 基金项目： | 江苏省科技厅自然科学基金 |
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| 摘 要： | 根据车牌中字符的形态特征和横向纹理属性,以小波空间作为车牌字符识别的特征空间,通过小波分析来实现字符的特征提取.用非线性小波基取代通常神经元的激励函数,构建了一种自适应小波神经网络的车牌字符识别模型.实验结果表明,本文提出的算法对复杂背景下拍摄的汽车牌照识别具有很好的鲁棒性.
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| 关 键 词： | 字符识别 小波变换 小波神经网络 鲁棒性 |
| 文章编号： | 1671-6876(2008)01-0072-05 |
| 修稿时间： | 2007年10月8日 |
A Wavelet Neural Networks Char Recognition Algorithm and Its Application |
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| PAN Yong-hui,WU Mao-gang.A Wavelet Neural Networks Char Recognition Algorithm and Its Application[J].Journal of Huaiyin Teachers College(Natrual Science Edition),2008,7(1):72-76. |
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| Authors: | PAN Yong-hui WU Mao-gang |
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| Abstract: | In this paper,a novel algorithm was proposed for vehicle license recognition which was based on adaptive wavelet neural networks.Experimental results demonstrate that the proposed approach could efficiently be used as a vehicle license characters recognition system with high convergence,which is robust for license-size,license-color and background complexity. |
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| Keywords: | characters recognition wavelet transform wavelet neural network robust |
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