AI-Based Fingerprint Analysis System

Enhancement and minutiae extraction for low-quality latent fingerprints

About the Project

This research project is developed as part of the M.Sc. Forensic Science curriculum. The system focuses on enhancing degraded latent fingerprints and extracting minutiae features using AI-assisted image processing techniques to support forensic examination.

Forensic Processing Workflow

Fingerprint Detection

Detects fingerprint presence within the input image.

Image Enhancement

Improves ridge clarity while preserving structural integrity.

ROI Extraction

Separates fingerprint region from background noise.

Skeletonization

Reduces ridges to one-pixel width for feature extraction.

Minutiae Extraction

Identifies ridge endings and bifurcations for analysis.

Live Demonstration

Note: Image upload and live fingerprint processing are enabled only for demonstration purposes. The uploaded image is forwarded to a controlled backend processing environment for analysis.



Live Demonstration Output

The output below displays the enhanced fingerprint along with extracted minutiae, generated by the backend processing pipeline.

Processed fingerprint result will appear here