Detection of Indian Fake Currency using Image Processing

The fake currency notes are detected using image processing employing MATLAB in this paper. This project aims in providing the best techniques in image acquisition, and image segmentation. The work uses CANNY's algorithm to extract the notes' features much more effectively. Algorithms for...

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Bibliographic Details
Published in2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) pp. 695 - 699
Main Authors Asha Banu, S.M, Sandhya, S., Sundari, T Vijaya, Shri Ranjani, P R
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.11.2022
Subjects
CANNY
Currencies
Extraction
fake
Feature extraction
Image segmentation
Inspection
Instruction sets
Matlab
Security
Segmentation
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Summary:The fake currency notes are detected using image processing employing MATLAB in this paper. This project aims in providing the best techniques in image acquisition, and image segmentation. The work uses CANNY's algorithm to extract the notes' features much more effectively. Algorithms for image processing are used to extract the options. The technique used here functions well with the recently introduced denominations of 500 and 2000. The recommended strategy provides a practical means of detecting fake currency that is supported by physical inspection.
DOI:10.1109/ICAISS55157.2022.10010580