期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：10
页码：155-168
出版社：SERSC
摘要：Security checks at airport are of importance to any safe flight. Traditional method for security check is to check the luggage manually. However, this method needs lots of human labor and time. It is desired to automatically check x-ray image of the luggage with computer vision. In this paper, the illegal object classification system is implemented. First, we introduce a computer vision based x-ray inspection system for Illegal object classification. Then we propose a method by combining Taruma feature based on Contourlet transform and histogram. Finally, we apply the random forests classifier to classify these features from the illegal objects. Experimental results show that the proposed method can effectively distinguish different kinds of illegal objects.
