datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
forensic-fingerprint-dataset
Fingerprint Database
Dataset comprises 6,000+ fingerprint images from 100 individuals, with samples covering both hands and all ten fingers per person. 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… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/forensic-fingerprint-dataset.multi-material-fingerprint-spoofing
Fingerprint Spoofing
The dataset contains over 4,000+ photos from 100 people, consisting of fingerprints images and spoofing attacks created using various spoofing materials such as alginate, plasticine, and silicone. It serves as essential training data for biometric systems focused on fingerprint recognition and spoof detection.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in biometric security and spoof detection… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/multi-material-fingerprint-spoofing.biometric-fingerprint-spoofing
Fingerprint Spoofing
The dataset comprises 5,000+ high-quality fingerprint images collected from 100 individuals (ten fingers per person) captured using multiple fingerprint scanners and biometric sensors. Designed for spoofing detection and liveness detection tasks, the fingerprint dataset provides labeled biometric data from different devices and fingers to train and evaluate biometric security and fingerprint recognition systems.
By utilizing this data, researchers and… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/biometric-fingerprint-spoofing.residuals-fingerprints
RESIDUALS — LiDAR DEM residual fingerprints
39,716 residual images extracted by applying 593 distinct decomposition configurations × 25 upsampling methods to a single Fairfield County, Ohio LiDAR-derived Digital Elevation Model (1500×375 at 3.33 ft/px). Each row pairs a 256×256 PNG of the residual (rendered with the standard RdBu_r colormap, 99th-percentile symmetric clipping) with the algorithm and parameters that produced it, plus a 40-dim signature vector and pre-computed 2D/3D… See the full description on the dataset page: https://huggingface.co/datasets/bshepp/residuals-fingerprints.biometric-fingerprint-spoofing
Fingerprint Spoofing Dataset 5,000 photos
Dataset contains 5,000+ high-quality fingerprint images capturing real fingerprints and multiple spoofing fingerprint attack types, including print and replay scenarios. Designed for spoofing detection and liveness detection tasks, the fingerprint dataset provides labeled biometric data from different devices and fingers to train and evaluate biometric security and fingerprint recognition systems.- Get the data
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/biometric-fingerprint-spoofing.multi-material-fingerprint-spoofing
Fingerprint Spoofing Dataset 4,000 photos
The dataset contains 4,000+ fingerprint images from 100 individuals, captured with a ZKTeco ZK9500 optical scanner and including real fingerprints and spoofing attacks created with alginate, plasticine, and silicone materials. It includes metadata (gender, age, finger, hand, device) and supports biometric security research, presentation attack detection, spoof detection, and fingerprint recognition model training.- Get the data… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/multi-material-fingerprint-spoofing.