Research on Methods of Features Extraction for Identifying False RMB Ultraviolet Images

被引：0
|
作者：
Yin, Dan [1 ]
Zhang, Ying [1 ]
Xiong, Dahua [1 ]
Wu, Qinghong [1 ]
机构：
[1] Univ Sci & Technol Liaoning, Anshan, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND COMPUTER APPLICATION | 2016年 / 30卷
关键词：
Ultraviolet image; Features extraction; Gabor transformation; Texture feature;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to solve the problem of feature selection for the identification of RMB Ultraviolet Images, a method of texture feature extraction image based on Gabor transformation is presented As we all know, the texture intensity of true currency in each direction is more obvious then counterfeit notes and the difference is more prominent. In this paper, the Gabor transform is carried out in 8 directions. In other worth, 8 texture features from RMB are extracted In order to effectively carry out the false, we gave a full analysis on the image we did Algorithm proposed in this paper is verified on feature selection of RMB. Furthermore, experimental results show that using this method can intensity currency accurately. This technology has certain utility value and it will be widely used in daily life.
引用
收藏
页码：269 / 272
页数：4
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