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Published July 30, 2019 | Version v1
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Mobile Based Smart Currency Detection System For Visually Impaired

Authors/Creators

  • 1. Assistant Professor, Department of Computer Science, Christ University, Bangalore, Karnataka, India

Description

India holds the largest population for visually impaired people which keeps on increasing day by day. In this study, I would like to suggest an implementation of a system that deal with currency recognition for visually impaired using image processing techniques such as segmentation and feature extraction.In addition to this, K- nearest neighbor and canny edge detection algorithm is also used.

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Additional details

References

  • N Rathee, A Kadian, R Sachdeva, VDalel, Y Jaie (2016), "Feature fusion for fake Indian currency detection",3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, pp. 12651270
  • SR Darade, GR Gidveer (2016), "Automatic recognition of fake Indian currency note",International Conference on Electrical Power and Energy Systems (ICEPES), Bhopal, pp. 290294
  • H Hassanpour, A Yaseri, G Ardeshiri, "Feature extraction for paper currency recognition",IEEE,1-4244-0779-6/07/$20.00©2007
  • Takeda F,Omatu S (1995), "High speed papercurrency recognition by neural networks",IEEE Transaction on Neural Networks, Volume 6, Issue 1, pp.7377
  • Muhannad Alfarras(2012), "Bahraini paper currency recognition",Journal of Advanced Computer Science and Technology Research,Volume 2, Issue 2, pp. 104–115

Subjects

Computer Science / IT Journals
http://matjournals.com/Engineering-Journals.html