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

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hvudeshi/Signature-Detection-and-Verification

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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'

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

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