@inproceedings{5065649680e74f7d8a4ee2610d665178,
title = "Millimeter-wave image target recognition based on the combination of shape features",
abstract = "Shape features are widely used in image target recognition due to their useful property of translation, rotation and scaling invariance. In this paper, low order Hu moments and other four shape features are combined together to classify different kinds of knives and guns with the support vector machine in the application of millimeter wave security imaging. Experimental results show that the combined features have better invariance and differences than other invariant moments.",
keywords = "Combined features, Feature extraction, Invariants, Target recognition",
author = "Ling Dai and Hong Hu and Yifan Chen and Min Zhou",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016 ; Conference date: 01-08-2016 Through 03-08-2016",
year = "2017",
month = jan,
day = "24",
doi = "10.1109/ICInfA.2016.7832097",
language = "英语",
series = "2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1732--1736",
booktitle = "2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016",
address = "美国",
}