| 基于粒子群的车牌定位识别的神经网络方法 |
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| 引用本文： | 勾丽杰,郑玉兴,兰静.基于粒子群的车牌定位识别的神经网络方法[J].辽宁省交通高等专科学校学报,2007,9(2):51-53. |
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| 作者姓名： | 勾丽杰 郑玉兴 兰静 |
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| 作者单位： | 1. 辽宁省交通高等专科学校,辽宁沈阳,110122
2. 辽宁省交通厅公路管理局,辽宁沈阳,110005 |
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| 摘 要： | 在对车牌定位识别中采用传统算法进行特征提取的时候, 当目标图像质量较差或者有较大的退化时, 不是很有效.遗传算法作为一种新兴的智能算法,近年来被应用于许多社会生活领域中,并比较好地解决了相关领域的优化问题,近年来,有些学者应用遗传定位算法来解决车牌定位问题.
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| 关 键 词： | 遗传算法 车牌定位识别 粒子群算法 |
| 文章编号： | 1008-3812(2007)02-051-02 |
| 修稿时间： | 2007年3月17日 |
Neural Network of the License Plate Orientation Based on Particle Swarm Algoritbm |
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| Gou Li-jie,Zheng Yu-xing,Lan Jiang.Neural Network of the License Plate Orientation Based on Particle Swarm Algoritbm[J].Journal of Liaoning Provincial College of Communications,2007,9(2):51-53. |
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| Authors: | Gou Li-jie Zheng Yu-xing Lan Jiang |
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| Institution: | Gou Li-jie Zheng Yu-xing Lan Jiang |
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| Abstract: | It is not very effective that draw out characteristics by traditional algorithm when target images have poor quality or large degeneration.As a burgeoning intellective algorithm,the genetic algorithm has been applied in many society and life fields recently,and by using it,people have solved many optimized questions in correlative fields.In recent years,some scholars have tried to solve plate location by using generic algorithm. |
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| Keywords: | genetic algorithm plate location recognition particle swarm algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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