Sokoto Coventry Fingerprint Dataset (SOCOFing)

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Sokoto Coventry Fingerprint Dataset (SOCOFing)

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Sokoto Coventry Fingerprint Dataset (SOCOFing)

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Sokoto Coventry Fingerprint Dataset (SOCOFing)

Description

Explore the Sokoto Coventry Fingerprint Dataset (SOCOFing), a robust biometric database featuring 6,000 fingerprint images from 600 African subjects. Ideal for academic research, SOCOFing includes detailed labels and synthetic alterations to enhance fingerprint recognition and security studies.

Description:

The Sokoto Coventry Fingerprint Dataset (SOCOFing) is a comprehensive biometric fingerprint database created specifically for academic research. It consists of 6,000 fingerprint images collected from 600 African subjects. Each fingerprint is meticulously labeled with unique attributes, including gender, hand, and finger name. Additionally, the dataset features synthetically altered versions of the fingerprints, offering three distinct levels of alteration: obliteration, central rotation, and z-cut.

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Key Features of SOCOFing:

Diverse Subject Pool: The dataset includes fingerprints from 600 subjects, providing a rich variety of biometric data for research.
Detailed Labeling: Each fingerprint image is labeled with specific metadata, such as gender, hand (left or right), and finger name (e.g., thumb, index).
Synthetic Alterations: To facilitate robust testing and analysis, the dataset includes synthetically modified fingerprints. These alterations simulate real-world challenges in fingerprint recognition:
- Obliteration: Partial removal or smudging of the fingerprint pattern.
- Central Rotation: Rotation of the central part of the fingerprint to mimic common distortions.
- Z-Cut: A synthetic cut through the fingerprint pattern to test resilience against physical damage.

Applications of SOCOFing:

Biometric System Development: Researchers can use this dataset to develop and enhance fingerprint recognition algorithms.
Security and Forensics: The dataset is valuable for studying the effects of alterations on fingerprint recognition, aiding in the development of more secure and reliable forensic tools.
Academic Research: SOCOFing serves as a benchmark for academic research in biometrics, providing a standardized dataset for testing new methodologies and comparing results.