AI-Based Fingerprint Enhancement System

Enhancing low-quality latent fingerprints using deep learning to support evidence-based forensic examination

About the Project

This project focuses on enhancing degraded latent fingerprints using AI-based image processing techniques. The system improves ridge clarity and supports forensic identification by extracting meaningful patterns from low-quality inputs.

Objective

To develop a reliable system capable of improving fingerprint visibility and assisting forensic experts in identifying ridge characteristics with higher accuracy.

Processing Pipeline

1 Upload latent fingerprint

2 Convert to grayscale

3 Normalize pixel intensity

4 Estimate orientation field

5 Apply enhancement model

6 Apply CLAHE contrast

7 Sharpen ridge structure

8 Generate XAI heatmap

9 Create enhancement overlay

Processing...

Technology Used

Python OpenCV Deep Learning Image Processing Flask / API

Open Live System