CURRENCY DETECTOR SYSTEM FOR VISUALLY IMPAIRED

Authors

  • Nitin Kulkarni Professor, Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidder, India
  • Shivanand UG Students, Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidder, India
  • Sangamesh UG Students, Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidar, India
  • Vinayak UG Students, Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidar, India
  • Satvik UG Students, Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidar, India

DOI:

https://doi.org/10.5281/zenodo.21372728

Keywords:

To detect the denomination of the currency note–with help of its orientation and colour, To detect fake note alarm – to help the users from verge of being cheated

Abstract

In the current world of cheating and other frauds, people find it very difficult to lead their lives. The same is even worse in the case of Blind or visually challenged. They face many more challenges in their daily life, especially while dealing with currency and other money related issues. In order to help blind people we are developing a project that helps them identify the denomination of the currency, as there is no brail mark on the currency note. Counterfeit note fake note is another difficult task to identify, for both healthy and blind person. Hence, in addition to it wear incorporating fake note detection system, which helps every citizen from verge of being cheated. The currency recognition algorithm discussed in this paper using image processing is based on an ORB (Oriented fast and Rotated Brief). It is faster and also rotation invariant. The proposed algorithm shows 90%truerecognitionrate.

References

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VII. “Tactile Graphics Exploration Studies Using Fingertip Tracking Based on Colour Markers Detection for Visually Impaired People”-Muhammad Ikmal Hakim Shamsul Bahrin (2019)

VIII. “A Hybrid Fake Banknote Detection model using OCR, Face Recognition and Hough Features” -Adiba Zarin (2019)

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Additional Files

Published

01-06-2026

How to Cite

Nitin Kulkarni, Shivanand, Sangamesh, Vinayak, & Satvik. (2026). CURRENCY DETECTOR SYSTEM FOR VISUALLY IMPAIRED. International Educational Journal of Science and Engineering, 9(05), 88–90. https://doi.org/10.5281/zenodo.21372728

Issue

Vol. 9 No. 05 (2026): SPECIAL ISSUE MAY - NATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING, TECHNOLOGY AND MANAGEMENT

Section

Articles

License

Copyright (c) 2026 International Educational Journal of Science and Engineering

Creative Commons License

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