This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Verify authenticity of handwritten signatures through digital image processing and neural networks. Features python sigrecog.py to run with our implementation of a backpropagation neural network. python sigrecogtf.py to run with a tensorflow
Signature-recognition was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #19 on the daily leaderboard. Verify authenticity of handwritten signatures through digital image processing and neural networks. Features python sigrecog.py to run with our implementation of a backpropagation neural network. python sigrecogtf.py to run with a tensorflow
Who hunted Signature-recognition?
Signature-recognition was hunted by Mohammad Kaif. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Mohammad Kaif