【摘要】：為了消除光照對打印文件圖像采集的影響,采用均勻模式的LBP對采集到的字符圖像進行處理,提取LBP特征值,使用SVM進行打印文件的分類鑒別,分類準確率只有83.40%,說明LBP特征可以用于打印文件的分類鑒別,但是分類準確率不能滿足實際應(yīng)用的需要。運用兩因子方差分析模型得出字符因子和打印機因子對鑒別率的影響都是顯著的。采用紋理信息挖掘的方法消除字符因子的影響,研究打印機因子對打印文件鑒別的影響,可以將打印文件鑒別率提高到94.50%,具備實際應(yīng)用的能力。
[Abstract]:In order to eliminate the influence of light on printing file image acquisition, uniform mode LBP is used to process the collected character image, LBP eigenvalues are extracted, and SVM is used for classification and identification of print files. The classification accuracy is only 83.40%, indicating that LBP features can be used for classification and identification of printing files, but the classification accuracy can not meet the needs of practical applications. Using the two-factor variance analysis model, it is concluded that the influence of character factor and printer factor on the discrimination rate is significant. By using the method of texture information mining to eliminate the influence of character factor and to study the influence of printer factor on the identification of printed file, the identification rate of printed file can be increased to 94.50%, which has the ability of practical application.
【作者單位】： 武漢大學(xué)電子信息學(xué)院;
【基金】：文件檢驗鑒定公安部重點實驗室(中國刑事警察學(xué)院)項目(11KFKT001)
【分類號】：TP334.8;TP391.41
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本文編號：2514154