An efficient personal identification by using text-independent writer recognition

被引：0

作者：

Huang, YP ^{[1
]}

Luo, SW ^{[1
]}

机构：

[1] No Jiaotong Univ, Dept Comp Sci & Informat Technol, Beijing 100044, Peoples R China

来源：

7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL V, PROCEEDINGS: COMPUTER SCIENCE AND ENGINEERING: I | 2003年

关键词：

writer recognition; Independent Component Analysis;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Writer recognition, as an identification technology, has many advantages, such as natural interaction and non-intrusive detection, thus it becomes a hot topic in pattern recognition and machine learning research area. This paper proposes a new writer recognition algorithm of text independent, which adopts Independent Component Analysis (ICA) to extract texture feature and competitive learning mechanism to determine the center of class. Experimental results show that our algorithm is efficient.

引用

页码：349 / 351

页数：3

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