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  1. University of Yangon
  2. Department of Physics

Implementation of Neural Network based Illicit Object Detection for Enhanced Security

http://hdl.handle.net/20.500.12678/0000001755
http://hdl.handle.net/20.500.12678/0000001755
0d0b2f9f-df3e-4905-b271-4e048792fbeb
44e545af-b999-432e-a4e9-84d2f13c8cf1
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25.Implementation 25.Implementation of Neural Network by Hnin Aye Khaing.pdf (2531 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title Implementation of Neural Network based Illicit Object Detection for Enhanced Security
Language en
Publication date 2010
Authors
Hnin Aye Khaing
Zaw Min Aung
Hla Myo Tun
Description
This paper presents the development technique of an
automated illicit object detection system in aviation security
using X-ray screening where classification phase is being
implemented by artificial neural network. Neural network is
investigated for the purpose of identifying illicit material in hand
luggage. We have proposed in intelligent security system that
impacts on airlines and airport operations. The proposed system
uses appropriate image processing techniques, feature extraction
and neural network for detecting objects. For programming and
simulation of this system MATLAB software is applied. In this
paper, a neural network trained with the back propagation
algorithm (trainscg) is classified in conjunction with feature
extraction for various object images.
Keywords
Object detection
Identifier http://uyr.uy.edu.mm/handle/123456789/142
Journal articles
Conference papaers
Books/reports/chapters
Thesis/dissertations
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