Skip to content

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

License

Notifications You must be signed in to change notification settings

tspannhw/signature-recognition

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Signature Recognition

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

Usage

  • python sigrecog.py to run with our implementation of a backpropagation neural network.
  • python sigrecogtf.py to run with a tensorflow model created using logistic regression.

Built with

  • OpenCV
  • Tensorflow

Requirements

  • Python 3.6
  • OpenCV 3.2
  • Numpy
  • Tensorflow

Dataset

The dataset used was gotten from the ICDAR 2009 Signature Verification Competition (SigComp2009). More detais are available here.

Contributors

Anisio Marques Junior - anisiomarxjr


About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%