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             enhance  its  impact  in  preventing  counterfeiting  and   Computer Science and Applications, 10(5), 15-20.
             protecting intellectual property.
                                                                [7]   Gupta,  R.,  &  Meena,  K.  (2020).  Application  of  deep
             REFERENCES                                              learning in counterfeit product detection using image
             [1]   Sharma,  A.,  &  Gupta,  R.  (2020).  A  review  on  image   classification. Journal of Computer Vision and Pattern
                  classification  techniques  using  deep  learning.   Recognition, 8(2), 45-52.
                  International  Journal  of  Computer  Applications,   [8]
                  176(12), 1-6.                                      Deshmukh,  A.,  &  Joshi,  A.  (2018).  Automatic  logo
                                                                     detection in product images using machine learning
             [2]   Kumar, A., & Sahu, P. (2019). Detection of counterfeit   techniques.  Proceedings  of  the  International
                  products  using  machine  learning:  A  survey.    Conference on Artificial Intelligence and Data Science,
                  Proceedings  of  the  International  Conference  on   55-62.
                  Emerging Trends in Computing and Communication,   [9]
                  34-38.                                             Yadav, P., & Verma, R. (2021). Fake logo identification
                                                                     using  Convolutional  Neural  Networks  and  transfer
             [3]   Rathi, S., & Shukla, P. (2018). A study on the counterfeit   learning.  Indian  Journal  of  Computer  Science  and
                  detection  system  using  neural  networks.  Journal  of   Engineering, 12(3), 100-106.
                  Information and Computational Science, 15(5), 42-46.
                                                               [10]   Patil, S., & Rathi, S. (2020). Counterfeit logo detection
             [4]   Jain,  V.,  &  Singh,  R.  (2021).  Convolutional  neural   using deep learning models: An overview. International
                  networks  for  logo  recognition  and  counterfeit   Journal of Computational Intelligence and Informatics,
                  detection. International Journal of Computer Vision   11(2), 129-135.
                  and Image Processing, 11(4), 77-85.
                                                               [11]   Sharma,  K.,  &  Kumar,  N.  (2019).  Brand  protection
             [5]   Mishra,  A.,  &  Yadav,  S.  (2020).  Deep  learning  for   using artificial intelligence: Detecting fake logos using
                  counterfeit logo detection: A framework and survey.   deep  learning.  Indian  Journal  of  Technology  and
                  Journal of Data Science and Engineering, 6(2), 123-  Innovation, 4(1), 45-49.
                  131.
                                                               [12]   Prasad, R., & Bhatia, M. (2020). AI-based detection of
             [6]   Meena,  P.,  &  Ramasamy,  R.  (2019).  Counterfeit   counterfeit logos in e-commerce platforms. Journal of
                  detection in brand logos using Convolutional Neural   Artificial Intelligence and Data Analytics, 7(1), 35-40.
                  Networks.  International  Journal  of  Advanced



















































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