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| 抗混叠轮廓波变换的脱线中文手写体笔迹识别 | |
| 引用本文： | 朱贝贝,尚赵伟,袁博,国庆,张峰,杨建伟.抗混叠轮廓波变换的脱线中文手写体笔迹识别[J].计算机工程与应用,2011,47(24):150-153. |
| 作者姓名： | 朱贝贝 尚赵伟 袁博 国庆 张峰 杨建伟 |
| 作者单位： | 1. 重庆大学计算机学院,重庆,400030 2. 重庆大学计算机学院,重庆400030;四川省模式识别与智能信息处理重点实验室,成都610106 3. 南京信息工程大学数理学院,南京,210044 |
| 基金项目： | 国家自然科学基金,国家自然科学基金面上项目 |
| 摘 要： | 为了进一步提高脱线中文手写体笔迹识别的正确率,提出了一种基于抗混叠轮廓波变换的特征提取算法。抗混叠轮廓波变换不仅具有轮廓波变换的多尺度、多方向特性,同时克服了轮廓波变换中频谱混叠的现象,避免了重构图像出现"划痕"现象。实验结果证明,抗混叠轮廓波变换的GGD模型与使用单小波、复小波、轮廓波变换的GGD模型方法比较,识别正确率分别提高了23.5%、7.7%、2.5%。 |
| 关 键 词： | 小波变换 抗混叠轮廓波变换 广义高斯分布(GGD)模型 KL距离 |
| 修稿时间： | |
Offline Chinese handwriting-based writer identification with non-aliasing Contourlet transform |
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| ZHU Beibei,SHANG Zhaowei,YUAN Bo,GUO Qing,ZHANG Feng,YANG Jianwei.Offline Chinese handwriting-based writer identification with non-aliasing Contourlet transform[J].Computer Engineering and Applications,2011,47(24):150-153. | |
| Authors: | ZHU Beibei SHANG Zhaowei YUAN Bo GUO Qing ZHANG Feng YANG Jianwei |
| Affiliation: | 1.College of Computer Science,University of Chongqing,Chongqing 400030,China 2.Key Laboratory of Pattern Recognition and Intelligent Information Processing Sichuan Province,Chengdu 610106,China 3.College of Mathematics and Physics,Nanjing University of Information Engineering,Nanjing 210044,China |
| Abstract: | In order to enhance the precision rate of off-line Chinese handwriting-based writer identification,a new feature ex-traction method based on the non-aliasing Contourlet transform is presented.The transform not only has the multiscale and multidirection properties,moreover it overcomes the frequency aliasing of Contourlet transform,and avoids＂scratching＂phe-nomenon in the reconstructed image.In comparison with a single wavelet transform,the complex wavelet transform and Con-tourlet transform,the method increases the accuracy about 22.5%,7.7%,2.5%,respectively. |
| Keywords: | wavelet transform non-aliasing Contourlet transform General Gaussian Distribution（GGD）model KL distance |
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