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Counterfeit notes detector using structural similarity index score.

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Název: Counterfeit notes detector using structural similarity index score.
Autoři: Kalpana, Akkineni, Akkineni, Yodha Gopal, Kilaru, Mrudula, Arabu, Ushasree, Bahl, Ankur
Zdroj: AIP Conference Proceedings; 2025, Vol. 3157 Issue 1, p1-8, 8p
Témata: SMALL business, FINANCIAL risk, IMAGE processing, FINANCIAL institutions, FORGERY
Abstrakt: 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]
Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Counterfeit notes detector using structural similarity index score.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kalpana%2C+Akkineni%22">Kalpana, Akkineni</searchLink><br /><searchLink fieldCode="AR" term="%22Akkineni%2C+Yodha+Gopal%22">Akkineni, Yodha Gopal</searchLink><br /><searchLink fieldCode="AR" term="%22Kilaru%2C+Mrudula%22">Kilaru, Mrudula</searchLink><br /><searchLink fieldCode="AR" term="%22Arabu%2C+Ushasree%22">Arabu, Ushasree</searchLink><br /><searchLink fieldCode="AR" term="%22Bahl%2C+Ankur%22">Bahl, Ankur</searchLink>
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  Data: AIP Conference Proceedings; 2025, Vol. 3157 Issue 1, p1-8, 8p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22SMALL+business%22">SMALL business</searchLink><br /><searchLink fieldCode="DE" term="%22FINANCIAL+risk%22">FINANCIAL risk</searchLink><br /><searchLink fieldCode="DE" term="%22IMAGE+processing%22">IMAGE processing</searchLink><br /><searchLink fieldCode="DE" term="%22FINANCIAL+institutions%22">FINANCIAL institutions</searchLink><br /><searchLink fieldCode="DE" term="%22FORGERY%22">FORGERY</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1063/5.0261696
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        Text: English
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      – SubjectFull: IMAGE processing
        Type: general
      – SubjectFull: FINANCIAL institutions
        Type: general
      – SubjectFull: FORGERY
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      – TitleFull: Counterfeit notes detector using structural similarity index score.
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              M: 02
              Text: 2025
              Type: published
              Y: 2025
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