Fractal Dependence Graph in 2D Shapes Recognition

被引：0
|
作者：
Wang, Xiaojun [1 ]
Qin, Jian [2 ,3 ]
机构：
[1] Shaanxi Fenghuo Commun Grp Co Ltd, Baoji, Shannxi, Peoples R China
[2] Postdoctoral Stat Shaanxi Fenghuo Commun, Shannxi, Peoples R China
[3] Chongqing Univ, Dept Commun Engn, Chongqing, Peoples R China
来源：
ELECTRICAL INFORMATION AND MECHATRONICS AND APPLICATIONS, PTS 1 AND 2 | 2012年 / 143-144卷
关键词：
shape recognition; fractals dependence graph; pattern recognition;
D O I：
10.4028/www.scientific.net/AMM.143-144.715
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：
Fractal geometry is an useful approach in pattern recognition. Many fractal recognition methods use global analysis of the shape. In this paper we present a new fractal recognition method based on a dependence graph obtained from the PIFS. Moreover, this method uses local analysis of the shape which improves the recognition rate. The recognition algorithms have been tested to provide a feasible classification of the possible errors present in our similar object images datebase.
引用
收藏
页码：715 / +
页数：2
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