anuska-saha Goto Github PK
Name: Anuska Saha
Type: User
Name: Anuska Saha
Type: User
Although the incidence of counterfeiting is relatively low, there are still some counterfeit banknotes in circulation and has become a serious threat to our society. With the advancement in digital image processing, it also plays a significant role in producing increasing number of fake banknotes every year [1]. But the main problem is how to identify and classify that the banknotes are real or counterfeit? In this research, the author not only focuses on detecting the real or counterfeit banknotes, but to also how classify between real or counterfeit banknotes. Nowadays, automatic machines which accept banknotes are developed to meet various needs and functions. These machines recognize banknotes fed to them by identifying the design or value of the banknotes. It is extremely important for such machines to authenticate the banknote to distinguish it between real and counterfeit notes. In general, authentication is more difficult than recognition, since the differences in designs or values are deliberately designed to be readily distinguished, while forgeries are deliberately created for intended purposes to be indistinguishable from genuine banknotes.
Automatic Music Genre Classification with Machine Learning Techniques
Project containig related material for my TensorFlow articles
flask_enf_fr
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China tencent open source team.