hvudeshi / Signature-Detection-and-Verification

This project was my Computer Vision Course's Final Project. This model is purely based on Non-Deep Learning Approaches

Signature-detection-verification

This repository contains files of Computer Vision project of Group 6.

Signature_Detection folder contains codes for different approaches:
Contour features-based, OCR + Connected Components labelling, OCR + LineSweeping algorithm.

Signature_verification folder contains codes for SVM and ANN classification.

Usage:

1. Navigate to folder whose approach you want to run.
   For OCR approach - run 'acheque.py'
   For Connected Components approach - run 'cclabel.py'
   For LineSweep algorithm, run 'lineSweepDetect.py'
   For Contour feature based algorithm, run 'signature_detection.py'.

2. For execution of signature verification approaches,
   For SVM based classification, run 'run.py'
   For ANN based classification, run 'test.py'