| 一种基于二元树复小波变换的特征提取 |
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| 引用本文： | 高仕龙,周杰,吕王勇.一种基于二元树复小波变换的特征提取[J].四川大学学报(自然科学版),2006,43(6):1183-1186. |
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| 作者姓名： | 高仕龙 周杰 吕王勇 |
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| 作者单位： | 1. 乐山师范学院数学系,乐山,614004
2. 四川大学数学学院,成都,610064 |
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| 摘 要： | 利用二元树复小波变换(DT CWT)良好的方向选择性和矩阵奇异值分解(SVD)的稳定性,作者提出了一种新的特征提取方法并用于车牌汉字识别.实验证明该方法比二维实小波变换具有更好的识别效果
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| 关 键 词： | 二元树复小波 矩阵奇异值分解 方向选择性 模式特征提取 |
| 文章编号： | 0490-6756（2006）06-1183-04 |
| 收稿时间： | 2004-11-16 |
| 修稿时间： | 3/9/2005 12:00:00 AM |
A Feature Extraction Based on Dual-tree Complex Wavelet |
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| GAO Shi-long,ZHOU Jie,LV Wang-yong.A Feature Extraction Based on Dual-tree Complex Wavelet[J].Journal of Sichuan University (Natural Science Edition),2006,43(6):1183-1186. |
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| Authors: | GAO Shi-long ZHOU Jie LV Wang-yong |
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| Institution: | Department of Mathematics; Leshan Teacher's College,College of Mathematics; Sichuan University,College of Mathematics; Sichuan University |
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| Abstract: | A new feature extraction method is proposed based on the good directional selectivity of dual-tree complex wavelets and the stabilization of singular value of matrix and applied to car plate Chinese recognition.The experimental results demonstrate this method is more efficient in recognition than real wavelets. |
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| Keywords: | feature extraction dual-tree complex wavelet singular value decomposition directional selectivity |
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