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Implementation of Neural Network based Illicit Object Detection for Enhanced Security
- 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.
Hnin Aye Khaing
Zaw Min Aung
Hla Myo Tun