Friedrich-Alexander-Universität Erlangen
Lehrstuhl für Mustererkennung
Martensstraße 3
91058 Erlangen

Sensor Data Fusion

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.