luizgh/sigver_wiwd
Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
This project helps you to automatically verify handwritten signatures. You provide scanned signature images, and it outputs unique 'feature vectors' that represent each signature's distinct characteristics. This is ideal for forensic analysts, financial institutions, or any organization needing to automate the authentication of physical signatures.
156 stars. No commits in the last 6 months.
Use this if you need to extract consistent, machine-readable feature vectors from scanned handwritten signatures for automated verification.
Not ideal if you're looking for a complete, end-to-end signature verification system, as this provides features for verification rather than a full verification decision.
Stars
156
Forks
52
Language
Jupyter Notebook
License
BSD-2-Clause
Category
Last pushed
Feb 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/luizgh/sigver_wiwd"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
Aftaab99/OfflineSignatureVerification
Writer independent offline signature verification using convolutional siamese networks
anupdhoble/6thSemProject_SignatureVerification
This repository contains the source code and documentation for a Signature Verification System...
sainipankaj15/Signature-Forgery-Detection
Here I am adding all files and code which I used during project. I also explained project in below video
muame-amr/Signature-Verification
Signature Verification Convolutional Neural Network (CNN) model using Deep Leaning with...
TranHuuDat2004/handwriting-signature-recognition
Developed a machine learning model for authenticating handwritten signatures. This project...