Share Email Print

Proceedings Paper

Real-time wavelet-based inline banknote-in-bundle counting for cut-and-bundle machines
Author(s): Denis Petker; Volker Lohweg; Eugen Gillich; Thomas Türke; Harald Willeke; Jens Lochmüller; Johannes Schaede
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Automatic banknote sheet cut-and-bundle machines are widely used within the scope of banknote production. Beside the cutting-and-bundling, which is a mature technology, image-processing-based quality inspection for this type of machine is attractive. We present in this work a new real-time Touchless Counting and perspective cutting blade quality insurance system, based on a Color-CCD-Camera and a dual-core Computer, for cut-and-bundle applications in banknote production. The system, which applies Wavelet-based multi-scale filtering is able to count banknotes inside a 100-bundle within 200-300 ms depending on the window size.

Paper Details

Date Published: 7 February 2011
PDF: 15 pages
Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 787703 (7 February 2011); doi: 10.1117/12.872357
Show Author Affiliations
Denis Petker, OWITA GmbH (Germany)
Volker Lohweg, Ostwestfalen-Lippe Univ. of Applied Sciences (Germany)
Eugen Gillich, Ostwestfalen-Lippe Univ. of Applied Sciences (Germany)
Thomas Türke, KBA-NotaSys SARL (Switzerland)
Harald Willeke, KBA-Bielefeld (Germany)
Jens Lochmüller, KBA-Bielefeld (Germany)
Johannes Schaede, KBA-NotaSys SARL (Switzerland)

Published in SPIE Proceedings Vol. 7877:
Image Processing: Machine Vision Applications IV
David Fofi; Philip R. Bingham, Editor(s)

© SPIE. Terms of Use
Back to Top