# Sokoto Coventry Fingerprint Dataset

arXiv: https://arxiv.org/abs/1807.10609 · HTML: https://mlsanity.com/paper/1807.10609/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jul 2018.

## Built on by (most cited first, 5 of 5)

- [Kuramoto Orientation Diffusion Models](https://mlsanity.com/paper/2509.15328/) (2025)
- [ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder](https://mlsanity.com/paper/2307.12255/) (2023)
- [FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques](https://mlsanity.com/paper/2208.05615/) (2022)
- [LightGBM robust optimization algorithm based on topological data analysis](https://mlsanity.com/paper/2406.13300/) (2024)
- [Enhancing Fingerprint Recognition Systems: Comparative Analysis of Biometric Authentication Algorithms and Techniques for Improved Accuracy and Reliability](https://mlsanity.com/paper/2412.14404/) (2024)

## Abstract (arXiv)

This paper presents the Sokoto Coventry Fingerprint Dataset (SOCOFing), a biometric fingerprint database designed for academic research purposes. SOCOFing is made up of 6,000 fingerprint images from 600 African subjects. SOCOFing contains unique attributes such as labels for gender, hand and finger name as well as synthetically altered versions with three different levels of alteration for obliteration, central rotation, and z-cut. The dataset is freely available for noncommercial research purposes at: https://www.kaggle.com/ruizgara/socofing