Intelligent Illicit Object Detection System for Enhanced Aviation Security
Vallipuram Muthukkumarasamy, Michael Blumenstein, Jun Hyung Jo, Steve Green · Griffith Research Online · 2004
Although aviation security is not a new phenomenon to the world, current threats are much more sophisticated such that it is extremely difficult to detect possible threats of terrorism without severely hindering passenger life style. In order to provide adequate security, a much more sophisticated, reliable, and fast screening technique is needed for passenger identification and baggage examination. In this paper we have proposed an intelligent security technology system that provides the civil aviation authority with maximum security whilst minimising adverse impacts on airlines and airport operations. The proposed system uses appropriate image processing techniques, feature extraction and artificial neural networks for detecting illicit objects in hand luggage.