Banknote Recognition for Visually Impaired Using Key-point and Support Vector Machine

Faculty Computer Science Year: 2022
Type of Publication: ZU Hosted Pages:
Authors:
Asmaa Hanafy Ali Ghoniem
Journal: International Journal of Computer Science Trends and Technology (IJCST) ٌٍُESRG Volume:
Keywords : Banknote Recognition , Visually Impaired Using Key-point    
Abstract:
One among the most significant issues that Visually Impaired people face is identifying money, especially paper money. This study presents a basic money identification system that is applied to Egyptian, Saudi, and American banknotes in this work. The proposed solution relies on artificial intelligence techniques. Among the main method included in our system is the use of key point algorithm. The test results showed that the proposed approach can distinguish different paper of money with a high accuracy of up to 97 % and in a short period of time
    
     
 
       

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  • Asmaa Hanafy Ali Ghoniem, "HYBRID E-GOVERNMENT FRAMEWORK BASED ON CLOUD COMPUTING AND SERVICE ORIENTED ARCHITECTURE", jatit, 2018 More
  • Asmaa Hanafy Ali Ghoniem, "E-government Adoption in Egypt: Analysis, Challenges and Prospects", ijett, 2017 More
  • Asmaa Hanafy Ali Ghoniem, "A Novel Method for Banknote Recognition Using a Combined Histogram of Oriented Gradients and Scale-Invariant Feature Transform", Natural Sciences, 2023 More
  • Asmaa Hanafy Ali Ghoniem, "High-Precision Brain Tumor Diagnosis Using SECNN-MNet Framework and Explainable AI", Springer Nature, 2025 More
  • Asmaa Hanafy Ali Ghoniem, "An identity management scheme for cloud computing: Review, challenges, and future directions", Sage Journals, 2023 More

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