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Forensic Fingerprint Dataset

This fingerprint database includes over 6,000 samples paired with 5–7 distorted or latent versions of the same finger, simulating real-world forensic challenges. It provides manually annotated pairs with various distortions like smudges, partial prints, and pressure artifacts, supporting fingerprint identification, denoising, and biometric security research.

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  • People
    100
  • Photos
    6000+
  • Computer Vision
  • Forensics
  • Machine Learning
  • Data Labeling

This fingerprint database includes over 6,000 samples paired with 5–7 distorted or latent versions of the same finger, simulating real-world forensic challenges. It provides manually annotated pairs with various distortions like smudges, partial prints, and pressure artifacts, supporting fingerprint identification, denoising, and biometric security research.

Get in touch Download sample
  • Computer Vision
  • Forensics
  • Machine Learning
  • Data Labeling
  • People
    100
  • Photos
    6000+

Dataset Info

Characteristic Data
Description Paired high-quality and distorted fingerprint images for forensic matching and denoising tasks.
Data types Image
Tasks Matching, denoising, minutiae extraction
Number of images 6000+
Number of files in a set 1 high-quality image and 5-7 distorted/latent samples
Total number of people 100
Distortion Types Smudges, partial prints, dry/wet fingers, pressure artifacts
Annotations Manual correspondence labels (latent-to-reference pairs)
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Technical
Characteristics

Characteristic Data
Image Extensions Png
Image Resolution 500 DPI (strict)
Image Colour Grayscale
Source and collection methodology: Data was collected via crowdsourcing platforms.

Dataset Use Cases

  • Law Enforcement and Criminal Justice

    Automated Fingerprint Matching Systems

    Forensic Fingerprint Dataset provides high-resolution latent fingerprints and known prints that help train and test AFIS systems used by law enforcement agencies. It supports faster fingerprint identification and improves accuracy in criminal investigations, making it a valuable asset for forensic analysts and national identification databases.

  • Forensic Science and Crime Scene Analysis

    Enhancing Latent Print Examination

    This forensic dataset includes real and synthetic fingerprint images with varying quality, contrast, and noise levels. It allows forensic scientists and fingerprint examiners to improve fingerprint analysis workflows, test recognition algorithms, and strengthen scene investigations where only partial or smudged latent prints are available.

  • Biometric Research and Security Technology

    Developing Smarter Fingerprint Recognition Models

    Researchers in biometric data and recognition systems use this fingerprint image dataset to design advanced identification algorithms. It helps improve fingerprint sensors, classification methods, and recognition technology used in access control, mobile devices, and identity verification systems.

  • Academic and Machine Learning Applications

    Training AI for Forensic Fingerprint Recognition

    This fingerprint dataset is ideal for academic projects and AI model development. It provides structured fingerprint patterns and metadata for supervised training, enabling students and researchers to explore forensic identification, feature extraction, and automated fingerprint classification with real-world data complexity.

FAQs

What is included in this dataset?
The dataset includes over 6,000 paired fingerprint images, each set containing one high-quality reference print and 5–7 distorted or latent samples. These variations simulate real-world forensic conditions such as smudging, partial prints, or uneven pressure, providing diverse input for machine learning training.
What types of annotations are provided?
Each image pair includes manual correspondence labels linking latent-to-reference prints.
Can I request a sample of the dataset before purchasing?
Yes. You can request a free sample to evaluate the quality of fingerprint images, annotation accuracy, and variation in latent prints. This helps verify compatibility with your forensic recognition systems or AI fingerprint classification models before making a full purchase.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model: free samples are offered for evaluation, while full datasets are available exclusively through purchase. This ensures flexible access for both research and enterprise use.
How are Unidata datasets stored?
All datasets are securely hosted on AWS cloud infrastructure, following ISO 27001 and ISO 27701 standards. This guarantees high data availability, secure access, and privacy compliance for all dataset transactions and storage.
How long does it take to receive the dataset?
Once your request is submitted, the Unidata team will contact you to review details and complete the necessary documentation. After signing and payment, the dataset is delivered within 3–10 business days through a secure download link.
How was the data collected?
All data was collected through crowdsourcing platforms, involving volunteers who provided controlled and varied fingerprint impressions. This method ensures high diversity, realistic distortion patterns, and reliable forensic scenarios for both academic and professional research.
Is this a real-world dataset or synthetic data?
This is a real-world dataset, collected from human participants via crowdsourcing, not AI-generated. The dataset accurately reflects the complexity of real forensic evidence, including latent prints and environmental distortions.
Still have questions about using Unidata datasets? Read our user-guides

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