A Study of X-Ray Machine Image Local Semantic Features Extraction Model Based on Bag-Of-Words for Airport Security

Provided by: International Journal on Smart Sensing and Intelligent Systems
Topic: Security
Format: PDF
The aviation security at the airport has been faced with increasingly severe situations since the 9-11 event. It's of utmost importance to train airport X-ray machine screener's image recognition competency. So they can prevent terrorists from bringing dangerous articles in their carry-on or checked bags. However, usually the luggages are placed in different positions and the density & volume of articles differ greatly. As a result, dangerous articles show a variety of X-ray image features. It's easy for the confused screeners to miss or incorrectly detect dangerous articles. This has been a hidden danger for civil aviation safety.

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