This paper discusses a project initiated by the Department of Engineering and Technology at the Manchester Metropolitan University in cooperation with the Manchester Airport Aviation Services to develop a weapons detection system for airport baggage screening. The weapons detection system uses image recognition techniques to aid operator interpretation of x-ray images. A particular problem of identifying 3D objects from unknown 2D viewpoints has been addressed by using a novel form of a geometric descriptor. Neural networks allow for the creation and mining of large weapon image libraries. Rather than employing a complex mathematical model, the neural network has the simplicity to average features and yet retain the inherent subtle differences which allow for accurate matching.


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    Title :

    Weapons detection system for airport baggage screening


    Contributors:
    Gadsby, D. (author) / Twigg, P. (author) / Bowring, N. (author) / Allwork, J.B. (author)

    Published in:

    Measurement and Control ; 38 , 5 ; 140-146


    Publication date :

    2005


    Size :

    7 Seiten, 15 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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