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-  2016 

基于Gabor特征和稀疏表示的激光打印文档鉴别
Laser Print Document Identification Based on Gabor Feature and Sparse Representation Classification

DOI: 10.13203/j.whugis20140896

Keywords: 激光打印文档,稀疏表示,Gabor特征,鉴别,
laser print document
,sparse representation,Gabor feature,identification

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Abstract:

为了解决计算机打印文档的自动鉴别问题,提出了Gabor特征结合稀疏表示的计算机激光打印文档鉴别算法。针对激光打印文档字符墨粉堆积纹理,提取字符图像的Gabor幅值特征,并将提取的特征进行主成分分析;最后利用不同的分类识别算法,对打印文档进行分类鉴别。在自建数据库上的实验结果表明了本文算法的有效性,打印文档源打印机准确鉴别率可达94.74%

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