Small Sample Image Recognition Based on CNN and RBFNN

Identification of dangerous goods based on images plays a key role in the security inspection of various situations such as airports, subways, public places etc. This paper discusses the issue in a from-simple-to-complex manner. Firstly, we classify different kinds of knives given an image including...

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Veröffentlicht in:	Wangji Wanglu Jishu Xuekan = Journal of Internet Technology 2020-01, Vol.21 (3), p.881-889
Hauptverfasser:	Yao, Biyuan, Zhou, Hui, Yin, Jianhua, Li, Guiqing, Lv, Chengcai
Format:	Artikel
Sprache:	chi ; eng
Schlagworte:	Airports Artificial neural networks Convolution Cutlery False alarms Fourier transforms Image classification Inspection Knives Model accuracy Neural networks Object recognition Radial basis function Subways
Online-Zugang:	Volltext
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