CoolFace
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ud-biometrics/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.

sourceHugging Facecc-by-nc-nd-4.0updated 6mo agoView on Hugging Face
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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](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)

Dataset characteristics:

CharacteristicData
DescriptionFingerprint images were captured via three attack types: print, real, and replay
Data typesImage
TasksSpoof Detection, Classification
Number of images5000+
Number of files in a set30 (10 real, 10 print, 10 replay)
LabelingMetadata (gender, age, finger, hand, shooting device, display device, paper)
Total number of people100

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Dataset structure

  • —iPhone 15 Pro — photos of real, print, and replay attacks captured on iPhone 15 Pro.
  • —OPPO A18 — photos of real, print, and replay attacks captured on OPPO A18.
  • —Samsung Galaxy A53 5G — photos of real, print, and replay attacks captured on Samsung Galaxy A53 5G.

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  1. 1.Forensic Fingerprint Dataset
  2. 2.Multi-Material Fingerprint Spoofing Dataset
  3. 3.Open Palm Hand Images Dataset

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