anupdhoble/6thSemProject_SignatureVerification

This repository contains the source code and documentation for a Signature Verification System Using CNN. The system utilizes Convolutional Neural Networks (CNN) to authenticate handwritten signatures, reducing the risk of forgery and falsification in legal, financial, and commercial transactions.

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This system helps organizations authenticate handwritten signatures for legal, financial, or commercial transactions. You input a handwritten signature, and the system compares it against a known original, indicating whether it's authentic or potentially forged. This is useful for bank tellers, compliance officers, notaries, or administrative staff who need to quickly and reliably verify document authenticity.

Use this if you need an automated and efficient way to verify handwritten signatures and reduce the risk of forgery, especially in high-volume settings.

Not ideal if your verification needs involve digital signatures, biometric authentication, or require processing very low-quality or incomplete signature images.

document-verification fraud-detection financial-security compliance transaction-authentication
No License No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 14 / 25

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7

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3

Language

Python

License

—

Category

signature-verification-ml

Last pushed

Nov 04, 2025

Commits (30d)

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Signature Verification ML · 14 frameworks

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