UniDataPro/forensic-fingerprint-dataset

Fingerprint Database

Dataset comprises 6,000+ fingerprint images from 100 individuals, each paired with 5-7 distorted or latent versions to simulate real-world forensic challenges. It is designed for fingerprint identification, recognition systems, and forensic investigations, offering a robust resource for biometric data analysis, criminal investigations, and automated fingerprint matching.

By leveraging this dataset, researchers and law enforcement agencies can enhance fingerprint recognition algorithms, improve identification processes, and advance forensic sciences. - Get the data

Manually annotated latent-to-reference pairs enable precise training for fingerprint enhancement algorithms and AFIS (Automated Fingerprint Identification System) improvements.

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Each set includes 1 high-quality fingerprint image and 5-7 distorted variants, simulating real-world challenges with smudges, partial prints, dry/wet fingers, and pressure artifacts.

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