| 基于能量解析的计算机笔迹特征提取 |
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| 引用本文： | 杨磊,赵明旺,杨杰.基于能量解析的计算机笔迹特征提取[J].武汉科技大学学报(自然科学版),2006,29(1):79-82. |
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| 作者姓名： | 杨磊 赵明旺 杨杰 |
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| 作者单位： | 1. 上海交通大学图像处理与模式识别研究所,上海,200240
2. 武汉科技大学信息科学与工程学院,湖北,武汉,430081 |
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| 摘 要： | 将汉字书写过程理解为笔迹能量的空间分布过程，提出了一套有效的计算机笔迹纹理特征分析方法。通过提取分布在不同小波包最好基所对应的频率域中的笔迹能量，一幅汉字笔迹图像可以被压缩为一个含有15个元素的能量测度矢量，再由BP神经网络即可完成对经规范化后的能量测度矢量的正确分类。
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| 关 键 词： | 计算机笔迹鉴别 小波包分析 非线性能量测度 |
| 文章编号： | 1672-3090(2006)01-0079-04 |
| 收稿时间： | 2005-02-21 |
| 修稿时间： | 2005年2月21日 |
Computer Handwriting Feature Extraction Based on Energy Resolution |
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| YANG Lei,ZHAO Ming-wang,YANG Jie.Computer Handwriting Feature Extraction Based on Energy Resolution[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2006,29(1):79-82. |
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| Authors: | YANG Lei ZHAO Ming-wang YANG Jie |
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| Institution: | 1. Shanghai Jiaotong University, Shanghai 200240, China; 2. Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | Writing can be regarded as the spatial distribution process of handwriting energy. Inspired by this view, a method for analyzing handwriting texture is proposed in the paper. Through extracting handwriting energy in different frequency domains that correspond to different wavelet packet bases, a Chinese character image can be compressed into an energy measure vector of 15 elements. A BP neural networks is designed to learn and classify the results from the combination and standardization of every energy measure vector. Experimental results have confirmed the validity of the proposed method. |
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| Keywords: | computer handwriting identification wavelet packet analysis nonlinear energy measure |
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