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Sensor data fusion for banknote processing

Within a three-year collaborative research project between Giesecke+Devrient GmbH and the chair for pattern recognition new algorithms shall be developed. Banknotes are automatically checked and classified by taking images of a banknote with different sensors. The aim of the project is to improve the classification performance and robustness by developing novel approaches to the fusion of the sensor data.
Project manager:
Dr. Norbert Holl, Prof. Dr.-Ing. Joachim Hornegger

Project participants:
PD Dr.-Ing. Christian Riess

Keywords:
Sensor Data Fusion; Banknotes; Image Analysis

Duration: 1.7.2007 - 30.6.2010

Sponsored by:
Giesecke+Devrient GmbH

Contact:
Riess, Christian
Phone +49 9131 85 69906, Fax +49 9131 85 69919, E-Mail: christian.riess@fau.de

Institution: Chair of Computer Science 5 (Pattern Recognition)
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