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Research Article

Currency Detector Application for Visually impaired (The Blind Assist)

Sanika Kulkarni1 Sakshi sonar2
12Information Technology, K K Wagh Polytechnic, Nashik-09, India.

Published Online: May-June 2022

Pages: 33-36

Cite this article

No DOI

References

[1] https://ieeexplore.ieee.org/document/620829/
[2] https://ieeexplore.ieee.org/document/4679917
[3] Xiaole Zhanga, Yuying Shi a, Zhi-Feng Pangb, Yonggui Zhu – Fast algorithm for image denoising with different boundary conditions.
[4] Mirza, R., Nanda, V., 2012. Design and implementation of Indian paper currency authentication system based on feature extraction by edge-based segmentation using Sobel operator. Int. J. Eng. Res. Dev. 3 (2), 41 46.
[5] Prof Chetan More, Monu Kumar, Rupesh Chandra, Raushan Singh, “Fake currency Detection using Basic Python Programming and
Web Framework” IRJET International Research Journal of Engineering and Technology, Volume: 07 Issue: 04 | Apr 2020 ISSN: 2395-
0056
[6] Vivek Sharan, Amandeep Kaur,” Detection of Counterfeit Indian Currency Note Using Image Processing” International Journal of
Engineering and Advanced Technology (IJEAT), Volume.09, Issue:01, ISSN: 2249-8958 (October 2019)
[7] Aakash S Patel, “Indian Paper currency detection” International Journal for Scientific Research & Development (IJSRD), Vol. 7, Issue
06, ISSN: 2321-0613 (June 2019)
[8] Archana M Kapitsa C P, Prajwal S K, Pratiksha N,” Identification of fake notes and denomination recognition” International Journal
for Research in Applied Science & Engineering Technology (IJRASET), Volume. 6, Issue V, ISSN: 2321-9653, (May 2018).

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