| 基于独立分量分析的车牌字符识别 |
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| 引用本文： | 李旻,吴炜,杨晓敏,周红,龙建忠.基于独立分量分析的车牌字符识别[J].四川大学学报(自然科学版),2006,43(6):1259-1263. |
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| 作者姓名： | 李旻 吴炜 杨晓敏 周红 龙建忠 |
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| 作者单位： | 四川大学电子信息学院图像信息研究所,成都,610064 |
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| 摘 要： | 利用独立分量分析提取字符特征,以信息理论中负熵作为估计输出分量之间独立性的目标函数,并在此基础上对待识别字符进行重建,通过对重建模型的误差分析进行字符识别.对3000个车牌字符的识别实验,取得了较高的识别率,证明其算法的有效性和鲁棒性.
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| 关 键 词： | 独立分量分析 特征提取 重建模型 FastICA算法 |
| 文章编号： | 0490-6756（2006）06-1259-05 |
| 收稿时间： | 3/5/2006 12:00:00 AM |
| 修稿时间： | 2006-03-05 |
Independent Component Analysis Based on Licence Plate Recognition |
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| LI Min,WU Wei,YANG Xiao-min,ZHOU Hong,LONG Jian-zhong.Independent Component Analysis Based on Licence Plate Recognition[J].Journal of Sichuan University (Natural Science Edition),2006,43(6):1259-1263. |
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| Authors: | LI Min WU Wei YANG Xiao-min ZHOU Hong LONG Jian-zhong |
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| Institution: | College of Electronics and Information Engineering; Sichuan University,College of Electronics and Information Engineering; Sichuan University,College of Electronics and Information Engineering; Sichuan University,College of Electronics and Information Engineering; Sichuan University,College of Electronics and Information Engineering; Sichuan University |
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| Abstract: | Independent component analysis is used to extract features of characters,and negentropy is applied to estimate statistical independence between output components,then character recognition is conducted based on the error analysis of reconstructed models'.The proposed algorithm is tested on 3000 characters,a high recognition rate can be obtained,and the experimental results demonstrate the algorithm is feasible,robust and applicable |
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| Keywords: | independent component analysis feature extraction model reconstruction FastICA algorithm |
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