Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications

June 1, 2006

Conference Paper

Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications

Abstract

Events in the past few years have heightened security concerns necessitating the development of more advanced methods for detecting potential threats being carried on individuals. One approach is to use imaging methods that see through clothing to find potentially threatening objects being concealed by individuals on their person. This sparks obvious privacy concerns. This paper describes one technique based on neural networks and Fourier features applied to active millimeter-wave imagery that finds man-made structure potentially indicating a threat without compromising personal privacy.

Revised: July 13, 2007 | Published: June 1, 2006

Citation

Keller P.E., D.L. McMakin, T.E. Hall, and D.M. Sheen. 2006. Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications. In International Joint Conference on Neural Networks (IJCNN 2006). Madison, Wisconsin:International Neural Network Society. PNNL-SA-49082.