Bibliographic Details
| Title: |
Counterfeit notes detector using structural similarity index score. |
| Authors: |
Kalpana, Akkineni, Akkineni, Yodha Gopal, Kilaru, Mrudula, Arabu, Ushasree, Bahl, Ankur |
| Source: |
AIP Conference Proceedings; 2025, Vol. 3157 Issue 1, p1-8, 8p |
| Subject Terms: |
SMALL business, FINANCIAL risk, IMAGE processing, FINANCIAL institutions, FORGERY |
| Abstract: |
The proliferation of counterfeit currency poses a significant threat to both individuals' livelihoods and the nation's economy. Despite the existence of counterfeit detection devices, their accessibility is confined to financial institutions and large corporations, leaving ordinary citizens and small enterprises susceptible to financial risks. Consequently, this research aims to explore the diverse security attributes embedded in Indian currency notes. Subsequently, a software-based solution will be developed, leveraging advanced image processing and computer vision methodologies, to detect and nullify counterfeit Indian currency. This currency authentication system will be exclusively crafted using the Python programming language within the Jupiter Notebook environment. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
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