PRINTER IDENTIFICATION USING PAGE GEOMETRIC DISTORTION ON TEXT LINES

被引:0
|
作者
Hao, Jianyuan [1 ]
Kong, Xiangwei [1 ]
Shang, Shize [1 ]
机构
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Liaoning, Peoples R China
来源
2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | 2015年
关键词
Printer identification; geometric distortion; Page Text Line Slope (PTLS); Page Text Line Interval (PTLI); Matching Euclidean Distance; SECURITY;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose novel printer identification algorithms based on page geometric distortion features on text lines. The features include Page Text Line Slope (PTLS) sequence and Page Text Line Interval (PTLI) sequence which are applied to describe the page geometric distortion in horizontal and vertical directions, respectively. The similarity measure of two feature sequences with different length can be presented by the Matching Euclidean Distance. Four printer identification algorithms are proposed to identify the printer source. The proposed algorithms do not need to restore the reference document manually, and maintain high performance even when the document has partial content.
引用
收藏
页码:856 / 860
页数:5
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