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基于小波分析的视频图像字符特征提取方法研究
引用本文:王建平,盛军,朱程辉. 基于小波分析的视频图像字符特征提取方法研究[J]. 微电子学与计算机, 2002, 19(5): 51-53,56
作者姓名:王建平  盛军  朱程辉
作者单位:合肥工业大学,合肥,230009
摘    要:
文章提出了一种基于小波变换的字符小波特征向量提取方法。通过对字符图像的小波分解子图求取风格特征向量,构造出字符的小波特征向量。该特征反映了图像字符结构特征和统计特征的综合信息,特征向量稳定、简单、算法快,且特征提取方法具有类人视觉特点。

关 键 词:小波分析 视频图像 字符特征提取 字符识别 小波特征向量 模式识别

Character Feature Extraction of Video Image Based on Wavelet Analysis
WANG Jian ping,SHENG Jun,ZHU Cheng hui. Character Feature Extraction of Video Image Based on Wavelet Analysis[J]. Microelectronics & Computer, 2002, 19(5): 51-53,56
Authors:WANG Jian ping  SHENG Jun  ZHU Cheng hui
Abstract:
A method of extracting character wavelet feature vector is presented in this paper based on wavelet transform. Grid feature vector,belonging to the wavelet decomposition sub graph which got by character image wavelet transform,is used to construct character wavelet feature vector. The wavelet feature weobtained is stable,because it is a combination of structure feature and statistic feature,and the algorithm is simple and fast. Furthermore,this feature extraction method has the pattern of human vision.
Keywords:Character recognition  Feature extraction  Wavelet transform  Wavelet feature vector
本文献已被 CNKI 维普 万方数据 等数据库收录!
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