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计算机视频电磁泄漏文字图像的识别

发表时间:2011-11-30  浏览量:1319  下载量:520
全部作者: 张燊,张洪欣,吕英华
作者单位: 北京邮电大学电子工程学院;信息安全国家重点实验室,中国科学院研究生院
摘 要: 在对计算机电磁泄漏波进行截获的基础上,利用滤波、同步、索相等技术获得接收的文字图像。利用平均值法对图像各邻域间像素进行平滑,实现了去噪;通过二值化处理、图像分割等对图像做预处理。然后,基于像素概率统计的方法对分割模块进行特征提取,并采用贝叶斯分类算法对文字进行分类和识别。最后,基于概率统计的贝叶斯分类算法开发的文字图像识别软件系统,重构并再现了计算机电磁泄漏的文字图像信息。对文字图像样品进行了实验,结果表明:该方法具有较高的识别准确率。
关 键 词: 电磁场与微波技术;信息泄漏;贝叶斯算法;图像识别;信息重构
Title: Recognition of text image from electromagnetic leakage of computer
Author: ZHANG Shen, ZHANG Hongxin, LV Yinghua
Organization: School of Electronic Engineering, Beijing University of Posts and Telecommunications; State Key Laboratory of Information Security, Graduate University of Chinese Academy of Sciences
Abstract: Based on the interception of electromagnetic (EM) leakage arising from computer, the intercepted text image is obtained by using filtering, synchronization, phase locked technology. Then, the noises are suppressed through the smoothing method with the mean value of the neighbor pixels of the image, and the preprocessing is done through the binarization processing and image segmentation. Further, the feature extraction is executed based on the statistic probability of the image pixels, and the classification and recognition of the text image are completed. At last, the software for the recognition of text image is developed using Bayesian classification algorithm based on statistic probability method, and the text image from the EM leakage of computer is recovered and reconstructed. From the examine result of the recovered text image in statistics, it shows that the recognition accuracy is high.
Key words: electromagnetic field and microwave technology; information leakage; Bayesian algorithm; image recognition; information reconstruction
发表期数: 2011年11月第22期
引用格式: 张燊,张洪欣,吕英华. 计算机视频电磁泄漏文字图像的识别[J]. 中国科技论文在线精品论文,2011,4(22):2072-2075.
 
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