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基于小波变换和相似性度量的视频文字识别
引用本文:杨强,程玉昆,马森. 基于小波变换和相似性度量的视频文字识别[J]. 计算机工程与设计, 2008, 29(9): 2307-2308
作者姓名:杨强  程玉昆  马森
作者单位:宜宾学院,计算机科学系,四川,宜宾,644000;宜宾学院,计算机科学系,四川,宜宾,644000;宜宾学院,计算机科学系,四川,宜宾,644000
基金项目:四川省教育厅资助项目 , 宜宾学院校级科研基金
摘    要:视频文字识别在视频分析与检索中有着重要作用,该算法对字幕图像进行N层小波分解,获得该视频文字的低频分量,再借助相似性度量方法实现视频文字的识别.实验结果表明,基于小波变换和相似性度量的视频文字识别算法能有效避免复杂背景等因素影响,有效提高视频文字的识别效率.

关 键 词:小波变换  相似性度量  字幕识别  汉字识别  小波分析
文章编号:1000-7024(2008)09-2307-02
修稿时间:2007-10-11

Algorithm of caption recognition based on wavelet transform and similitude-measurement
YANG Qiang,CHENG Yu-kun,MA Sen. Algorithm of caption recognition based on wavelet transform and similitude-measurement[J]. Computer Engineering and Design, 2008, 29(9): 2307-2308
Authors:YANG Qiang  CHENG Yu-kun  MA Sen
Affiliation:YANG Qiang,CHENG Yu-kun,MA Sen(Department of Computer Sciences,Yibin University,Yibin 644000,China)
Abstract:Caption recognition is important in video analysis.First,the caption is decomposed by wavelet in depth of N-layer,and extracted the character from the low frequency part of the wavelet coefficients.Then,the character of the low frequency part is compared with the corresponding information of the standard characters with the algorithm of similitude-measurement to realize the caption recog-nition.The experiment indicates that the algorithm is availability.
Keywords:wavelet transform  similitude-measurement  caption recognition  Chinese character recognition  wavelet analysis  
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