Signature-Verification

🖼️ Image Comparison using K-Means Clustering and ORB Features

This project compares two signatures based on:

• 🎨 Color similarity using K-Means clustering in the HSV color space.
• 🧠 Structural similarity using ORB (Oriented FAST and Rotated BRIEF) feature matching.

It provides a combined decision based on these metrics to determine whether the two input signatures are similar.

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🚀 Features

• K-Means clustering on pixel color data (HSV) to calculate color distance.
• ORB feature extraction and matching to analyze image structure.
• Visualization of:
  • Input images
  • Feature matches between the two images
• Printed summary of:
  • K-Means color distance
  • Number of ORB matches
  • Final similarity verdict

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🖼️ Sample Output

Here’s a preview of the ORB keypoint matching:

📋 Sample Text Output