References

Anonymous, 2014. Introduction to SIFT (Scale-Invariant Feature Transform). Opencv dev team, USA. https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.html

Anonymous, 2018. Finding keypoint. AI Shack Ltd, SIFT, USA. http://www.aishack.in/tutorials/sift-scale-invariant-feature-transform-keypoints/

Anonymous, 2018. Keypoint orientations. AI Shack Ltd, SIFT, USA. http://www.aishack.in/tutorials/sift-scale-invariant-feature-transform-keypoint-orientation/

Anonymous, 2018. LoG approximations. AI Shack Ltd, SIFT, USA. http://www.aishack.in/tutorials/sift-scale-invariant-feature-transform-log-approximation/

Bhavani, S.A., 2017. Currency recognition using SIFT. Intl. J. Comput. Appl., 167: 15-20.
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Bhurke, C., M. Sirdeshmukh and M.S. Kanitkar, 2015. Currency recognition using imange processing. Intl. J. Innovative Res. Comput. Commun. Eng., 3: 4418-4422.
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Chhaya, W.V. and G.S. Sheetal, 2016. Android application on Fake Indian Currency Recognition. Intl. J. Mag. Eng. Technol. Manage. Res., 3: 426-429.
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Deil, S.A.F., 2014. The 10 Most widely used currency in the world. Liputan6.com, USA. https://www.liputan6.com/bisnis/read/2017867/10-mata-uang-paling-banyak-digunakan-di-dunia

Doush, I.A. and A.B. Sahar, 2017. Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms. J. King Saud Univ. Comput. Inf. Sci., 29: 484-492.
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Hamida, S.B., R. Azizi and A. Maaloul, 2016. Intelligent system of M-vision based on optimized SIFT. J. Comput. Commun., 4: 52-62.
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Kavya, B.R. and B. Devendran, 2015. Indian currency detection and denomination using SIFT. Intl. J. Sci. Eng. Technol. Res., 4: 1909-1911.
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Kulkarni, R., S. Poul, M. Mulik and S. Swami, 2016. Object detection, location finder for blind people using android application. Intl. J. Res. Advent Technol., 4: 30-33.
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Sneha, R., P.K. Deepika, S. Nagaveni, S.D. Shree and K.S. Asha, 2017. Automatic counterfeit currency detection using image processing. Intl. Res. J. Eng. Technol., 4: 1208-1211.
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