---
_id: '2075'
abstract:
- lang: eng
text: Automatic sheet inspection in banknote production has been used as a standard
quality control tool for more than a decade. As more and more print techniques
and new security features are established, total quality in bank note printing
must be guaranteed. This aspect has a direct impact on the research and development
for bank note inspection systems in general in the sense of technological sustainability.
It is accepted, that print defects are generated not only by printing parameter
changes, but also by mechanical machine parameter changes, which will change unnoticed
in production. Therefore, a new concept for a multi-sensory adaptive learning
and classification model based on Fuzzy-Pattern- Classifiers for data inspection
and machine conditioning is proposed. A general aim is to improve the known inspection
techniques and propose an inspection methodology that can ensure a comprehensive
quality control of the printed substrates processed by printing presses, especially
printing presses which are designed to process substrates used in the course of
the production of banknotes, security documents and others. Therefore, the research
and development work in this area necessitates a change in concept for banknote
inspection in general. In this paper a new generation of FPGA (Field Programmable
Gate Array) based real time inspection technology is presented, which allows not
only colour inspection on banknote sheets, but has also the implementation flexibility
for various inspection algorithms for security features, such as window threads,
embedded threads, OVDs, watermarks, screen printing etc., and multi-sensory data
processing. A variety of algorithms is described in the paper, which are designed
for and implemented on FPGAs. The focus is based on algorithmic approaches
author:
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
- first_name: Rui
full_name: Li, Rui
id: '2000'
last_name: Li
- first_name: Thomas
full_name: Türke, Thomas
last_name: Türke
- first_name: Harald
full_name: Willeke, Harald
last_name: Willeke
- first_name: Johannes
full_name: Schaede, Johannes
id: '2128'
last_name: Schaede
citation:
ama: 'Lohweg V, Li R, Türke T, Willeke H, Schaede J. FPGA-based Multi-sensor Real
Time Machine Vision for Banknote Printing. In: 21st Annual Symposium on IST/SPIE
Electronic Imaging, 18 -22 January 2009,. San Jose, California USA. Accepted
for publication; 2009. doi:https://doi.org/10.1117/12.805427'
apa: Lohweg, V., Li, R., Türke, T., Willeke, H., & Schaede, J. (2009). FPGA-based
Multi-sensor Real Time Machine Vision for Banknote Printing. In 21st annual
Symposium on IST/SPIE Electronic Imaging, 18 -22 January 2009,. San Jose,
California USA. Accepted for publication. https://doi.org/10.1117/12.805427
bjps: Lohweg V et al. (2009) FPGA-Based Multi-Sensor Real Time Machine
Vision for Banknote Printing. 21st Annual Symposium on IST/SPIE Electronic
Imaging, 18 -22 January 2009,. San Jose, California USA. Accepted for publication.
chicago: Lohweg, Volker, Rui Li, Thomas Türke, Harald Willeke, and Johannes Schaede.
“FPGA-Based Multi-Sensor Real Time Machine Vision for Banknote Printing.” In 21st
Annual Symposium on IST/SPIE Electronic Imaging, 18 -22 January 2009,. San
Jose, California USA. Accepted for publication, 2009. https://doi.org/10.1117/12.805427.
chicago-de: 'Lohweg, Volker, Rui Li, Thomas Türke, Harald Willeke und Johannes Schaede.
2009. FPGA-based Multi-sensor Real Time Machine Vision for Banknote Printing.
In: 21st annual Symposium on IST/SPIE Electronic Imaging, 18 -22 January 2009,.
San Jose, California USA. Accepted for publication. doi:https://doi.org/10.1117/12.805427,
.'
din1505-2-1: 'Lohweg, Volker ; Li, Rui ; Türke,
Thomas ; Willeke, Harald
; Schaede, Johannes: FPGA-based
Multi-sensor Real Time Machine Vision for Banknote Printing. In: 21st annual
Symposium on IST/SPIE Electronic Imaging, 18 -22 January 2009,. San Jose,
California USA. Accepted for publication, 2009'
havard: 'V. Lohweg, R. Li, T. Türke, H. Willeke, J. Schaede, FPGA-based Multi-sensor
Real Time Machine Vision for Banknote Printing, in: 21st Annual Symposium on IST/SPIE
Electronic Imaging, 18 -22 January 2009, San Jose, California USA. Accepted for
publication, 2009.'
ieee: V. Lohweg, R. Li, T. Türke, H. Willeke, and J. Schaede, “FPGA-based Multi-sensor
Real Time Machine Vision for Banknote Printing,” in 21st annual Symposium on
IST/SPIE Electronic Imaging, 18 -22 January 2009, 2009.
mla: Lohweg, Volker, et al. “FPGA-Based Multi-Sensor Real Time Machine Vision for
Banknote Printing.” 21st Annual Symposium on IST/SPIE Electronic Imaging, 18
-22 January 2009, 2009, doi:https://doi.org/10.1117/12.805427.
short: 'V. Lohweg, R. Li, T. Türke, H. Willeke, J. Schaede, in: 21st Annual Symposium
on IST/SPIE Electronic Imaging, 18 -22 January 2009, San Jose, California USA.
Accepted for publication, 2009.'
ufg: 'Lohweg, Volker et. al. (2009): FPGA-based Multi-sensor Real Time Machine
Vision for Banknote Printing, in: 21st annual Symposium on IST/SPIE Electronic
Imaging, 18 -22 January 2009,, San Jose, California USA. Accepted for publication.'
van: 'Lohweg V, Li R, Türke T, Willeke H, Schaede J. FPGA-based Multi-sensor Real
Time Machine Vision for Banknote Printing. In: 21st annual Symposium on IST/SPIE
Electronic Imaging, 18 -22 January 2009,. San Jose, California USA. Accepted for
publication; 2009.'
date_created: 2019-11-29T14:33:24Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: https://doi.org/10.1117/12.805427
language:
- iso: eng
main_file_link:
- url: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/7251/72510S/FPGA-based-multisensor-real-time-machine-vision-for-banknote-printing/10.1117/12.805427.full
place: San Jose, California USA. Accepted for publication
publication: 21st annual Symposium on IST/SPIE Electronic Imaging, 18 -22 January
2009,
publication_status: published
status: public
title: FPGA-based Multi-sensor Real Time Machine Vision for Banknote Printing
type: conference
user_id: '45673'
year: 2009
...