@inproceedings{2129,
  abstract     = {{Maintaining confidence in security documents, especially banknotes, is and remains a major concern for the central banks in order to maintain the stability of the economy around the world. In this paper we describe an image processing and pattern recognition approach which is based on the Sound-of-Intaglio principle for the usage in smart devices such as smartphones. Today, in many world regions smartphones are in use. These devices become more and more computing units, equipped with resource-limited, but effective CPUs, cameras with illumination, and flexible operating systems. Hence, it is obvious to apply smartphones for banknote authentication, especially for visually impaired persons. Our approach shows that those devices are capable of processing data under the constraints of image quality and processing power. Strictly a mobile device as such is not an industrial product for harsh environments, but it is possible to use mobile devices for banknote authentication. The concept is based on a new strategy for constructing adaptive Wavelets for the analysis of different print patterns on a banknote. Furthermore, a banknote specific feature vector is generated which describes an authentic banknote effectively under various illumination conditions. A multi-stage Lineardiscriminant- analysis classifier generates stable and reliable output.}},
  author       = {{Lohweg, Volker and Dörksen, Helene and Hoffmann, Jan Leif and Hildebrand, Roland and Gillich, Eugen and Schaede, Johannes and Hofmann, Jürg}},
  booktitle    = {{Media Watermarking, Security, and Forensics 2013}},
  publisher    = {{(03-07.02.2013) IST/SPIE Electronic Imaging 2013}},
  title        = {{{Banknote authentication with mobile devices}}},
  doi          = {{https://doi.org/10.1117/12.2001444}},
  year         = {{2013}},
}

@article{2104,
  abstract     = {{Maintaining confidence in  security  documents,  especially  banknotes,  is  and  remains  a  major  concern  for  the  central  banks in order to maintain the stability of the economy around the world. In this paper we describe an image processing and  pattern  recognition  approach  which  is  based  on  the  Sound-of-Intaglio  concept  [1]  for  the  usage  in  smart  devices  such  as  smartphones.  Today,  in  many  world  regions  smartphones  are  in  use.  These  devices  become  more  and  more  computing units, equipped with resource-limited but effective CPUs, cameras with illumination, and flexible operating systems.  Hence,  it  appears  to  be  obvious,  to  apply  those  smartphones  for  banknote  authentication,  especially  for  visually impaired persons. However, it has to be researched, whether those devices are capable of processing  the  data  under the constraints of image quality and processing power. Our results show that it is in general possible to use such devices for banknote authentication applications.}},
  author       = {{Lohweg, Volker and Dörksen, Helene and Gillich, Eugen and Hildebrand, Roland and Hoffmann, Jan Leif and Schaede, Johannes}},
  journal      = {{Optical Document Security - The Conference on Optical Security and Counterfeit Detection III}},
  keywords     = {{authentication, anti-counterfeit features, mobile device, smartphone, wavelet transform, pattern recognition, Sound-of-Intaglio}},
  title        = {{{Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. }}},
  year         = {{2012}},
}

@inproceedings{2116,
  abstract     = {{Favored by hardware development, since the mid-2000s, cameras can be found in mobile phones. With the advent of the Apple iPhonethey are equipped with a multi-touch high-resolution display. Their included  battery  and  low  costs  make  them  attractive  for  smart  cameraapplications.  This  paper  shows  several  scenarios,  in  which  advantagesand disadvantages of smartphones are inspected. A real-life applicationis  given,  which  shows  that  a  phone  of  this  kind  can  be  used  for  printinspection and banknote authentication}},
  author       = {{Gillich, Eugen and Hildebrand, Roland and Hoffmann, Jan Leif and Dörksen, Helene and Lohweg, Volker}},
  booktitle    = {{BVAu 2012 - 3. Jahreskolloquium "Bildverarbeitung in der Automation" Centrum Industrial IT, Lemgo,}},
  keywords     = {{smart camera, smartphones, banknotes, authentication}},
  publisher    = {{inIT-Institut für industrielle Informationstechnik}},
  title        = {{{Smartphones as Smart Cameras – Is It Possible?}}},
  year         = {{2012}},
}