ud-biometrics/biometric-fingerprint-spoofing

---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
tags:
- fingerprint spoofing
- biometric spoofing
- fingerprints
- biometric security
size_categories:
- 1K<n<10K
---
# 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:
| Characteristic | Data |
|-------------------------|----------------------------------------------------------------------|
| Description | Fingerprint images were captured via three attack types: print, real, and replay |
| Data types | Image |
| Tasks | Spoof Detection, Classification |
| Number of images | 5000+ |
| Number of files in a set| 30 (10 real, 10 print, 10 replay) |
| Labeling | Metadata (gender, age, finger, hand, shooting device, display device, paper) |
| Total number of people | 100 |

### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing) to discuss purchase terms.

## 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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## Similar Datasets:
1. [Forensic Fingerprint Dataset](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)
2. [Multi-Material Fingerprint Spoofing Dataset](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)
3. [Open Palm Hand Images Dataset](https://unidata.pro/datasets/open-palm-hand-images/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)

## 🌐 [UniData](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.

许可证：CC BY-NC-ND 4.0（知识共享署名-非商业性使用-禁止演绎4.0国际许可协议）
任务类别：图像分类（image-classification）
标签：指纹欺骗（fingerprint spoofing）、生物特征欺骗（biometric spoofing）、指纹（fingerprints）、生物特征安全（biometric security）
样本规模：1K<n<10K

# 指纹欺骗数据集：5000张图像
本数据集包含**5000余张**高质量指纹图像，涵盖真实指纹以及多种**指纹欺骗（fingerprint spoofing）**攻击场景，包括打印伪造与重放攻击两类。本数据集专为**欺骗检测（spoofing detection）**与**活体检测（liveness detection）**任务设计，提供了来自不同采集设备与不同手指的标注**生物特征数据（biometric data）**，可用于训练与评估**生物特征安全（biometric security）**及**指纹识别（fingerprint recognition）**系统。
- **[获取数据集](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)**

## 数据集特征
| 特征项 | 数据说明 |
|-------------------------|----------------------------------------------------------------------|
| 描述 | 指纹图像采集自三类场景：真实指纹、打印伪造攻击、重放攻击 |
| 数据类型 | 图像 |
| 任务 | 欺骗检测、分类 |
| 图像总数 | 5000余张 |
| 单组文件数量| 30份（10份真实指纹样本、10份打印伪造样本、10份重放攻击样本） |
| 标注信息 | 元数据（性别、年龄、采集手指、采集手别、拍摄设备、显示设备、打印用纸） |
| 总参与人数 | 100名 |

### 📊 样本数据集可公开获取！如需完整数据集权限，请[联系我们](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)洽谈采购条款。

## 数据集结构
- iPhone 15 Pro — 使用iPhone 15 Pro采集的真实指纹、打印伪造及重放攻击图像。
- OPPO A18 — 使用OPPO A18采集的真实指纹、打印伪造及重放攻击图像。
- 三星Galaxy A53 5G — 使用三星Galaxy A53 5G采集的真实指纹、打印伪造及重放攻击图像。

### 🧩 若您需要本数据集之外的定制数据？我们可专为您定制专属数据集——了解更多我们的数据采集服务请[点击此处](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)

## 相似数据集：
1. [法医指纹数据集](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)
2. [多材质指纹欺骗数据集](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)
3. [开放手掌图像数据集](https://unidata.pro/datasets/open-palm-hand-images/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)

## 🌐 [UniData](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=biometric-fingerprint-spoofing)——您值得信赖的数据合作伙伴。我们提供独特、精准、经过全面采集与标注的数据，助力您的AI/ML项目取得成功。