Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ✍️

License

Notifications You must be signed in to change notification settings

gnbaron/signature-recognition

Repository files navigation

Signature Recognition ✍️

Verify the authenticity of handwritten signatures through digital image processing and neural networks.

This is an experimental project built during our research on the usage of AI throughout the most diverse fields.

Dataset

We got the dataset from ICDAR 2009 Signature Verification Competition (SigComp2009).

Usage

  • python sigrecog.py runs using our backpropagation neural network implementation
  • python sigrecogtf.py runs using a tensorflow model based on logistic regression

Built with

  • OpenCV
  • Tensorflow

Requirements

  • Python 3.6
  • OpenCV 3.2
  • Numpy
  • Tensorflow

Contributors

About

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ✍️

Topics

Resources

License

Stars

Watchers

Forks

Languages

AltStyle によって変換されたページ (->オリジナル) /