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Banknote Authentication on Indian currency (ML Image processing)

₹6000-20000 INR

Closed
Posted about 6 years ago

₹6000-20000 INR

Paid on delivery
Project in image processing Topic: Banknote Authentication on Indian currency Preferable language: Python. In the output, it should tell whether the note image we have selected is genuine or forged.
Project ID: 16328091

About the project

8 proposals
Remote project
Active 6 yrs ago

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8 freelancers are bidding on average ₹18,750 INR for this job
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A proposal has not yet been provided
₹6,666 INR in 1 day
4.7 (42 reviews)
5.7
5.7
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Hi its good to go with artificial intelligence to get the best accuracy, traditional image processing methods may not lead to good result. I've 3.5 years experience in OpenCv other libraries: Tensorflow, Dlib, SFML, Cairo etc Language: C++, Python, .net framework, Qt framework, C#, C++/Cli i need to know more details on input image (angle of photo, image resolution, lighting condition etc) can you share in chat? Thanks & Regards Prakash
₹20,000 INR in 10 days
5.0 (4 reviews)
4.3
4.3
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Hi, please share more details about the banknote image dataset and also which algorithm you would like to be implemented. This can be done via simple image processing and pattern recognition as well as using machine learning techniques that includes some of the advanced AI algorithms. I can do it in short time and with greater efficiency. I am an expert in Image processing with more than 10 yr of exp. Regards Dileep
₹24,444 INR in 8 days
5.0 (2 reviews)
0.4
0.4
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I have the desired experience in Image processing and Pattern Recognition. Also, I am good and convolutional neural network.
₹27,777 INR in 20 days
0.0 (0 reviews)
0.0
0.0
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A proposal has not yet been provided
₹16,666 INR in 7 days
0.0 (0 reviews)
0.0
0.0
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I can do this for free for you. I have excellent experience in python. I am looking to build a good reputation on this site hence I can do it for free. Nitin
₹14,444 INR in 10 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of INDIA
Indore, India
0.0
0
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Member since Nov 25, 2016

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