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 model created using logistic regression.

Project Activity

See All Activity >

Categories

Image Processing

Follow Signature-recognition

Signature-recognition Web Site

nel_h2
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use. Icon
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.

Transform user access with Frontegg CIAM: login box, SSO, MFA, multi-tenancy, and 99.99% uptime.

Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
Start for Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Signature-recognition!

Additional Project Details

Registered

2019-03-09