ud-biometrics/multi-material-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 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](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing)** ## Dataset characteristics: | Characteristic | Data | |-------------------------|----------------------------------------------------------------------| | Description | Fingerprint images were captured via four attack types: alginate, real, plasticine, and silicone | | Data types | Image | | Tasks | Spoof Detection, Classification | | Number of images | 4000+ | | Number of files in a set| 40 (10 real, 10 alginate, 10 plasticine, 10 silicone) | | Type of attack | Alginate, real, plasticine, and silicone | | Labeling | Metadata (gender, age, finger, hand, device) | | Total number of people | 100 | ### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing) to discuss purchase terms. ## Dataset structure - Alginate — photos of alginate attack. - Plasticine — photos of plasticine attack. - Real — photos of real fingerprint. - Silicone — photos of silicone attack. - meta.xlsx - metadata for the dataset. ### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing) ## Similar Datasets: 1. [Forensic Fingerprint Dataset](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing) 2. [Biometric Fingerprint Spoofing Dataset](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-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=multi-material-fingerprint-spoofing) ## 🌐 [UniData](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-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 任务类别： - 图像分类 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） 样本量范围： - 1K<n<10K # 指纹欺骗数据集：4000张照片 本数据集包含**4000余张**来自**100名个体**的指纹图像，由**ZKTeco ZK9500光学指纹扫描仪**采集，涵盖真实指纹以及采用海藻酸钠、橡皮泥、硅酮材料制作的**欺骗攻击样本**。数据集附带**元数据（metadata）**（性别、年龄、手指、手掌、采集设备），可用于生物特征安全研究、呈现攻击检测、欺骗检测以及**指纹识别模型（fingerprint recognition model）**的训练。- **[获取数据集](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing)** ## 数据集特征： | 特征项 | 数据详情 | |-------------------------|----------------------------------------------------------------------| | 描述 | 指纹图像通过四种攻击类型采集：海藻酸钠欺骗、真实指纹、橡皮泥欺骗、硅酮欺骗 | | 数据类型 | 图像 | | 任务 | 欺骗检测、图像分类 | | 图像数量 | 4000余张 | | 单组文件数| 40份（10份真实指纹样本、10份海藻酸钠欺骗样本、10份橡皮泥欺骗样本、10份硅酮欺骗样本） | | 攻击类型 | 海藻酸钠欺骗、真实指纹、橡皮泥欺骗、硅酮欺骗 | | 标注方式 | 元数据（metadata）（性别、年龄、手指、手掌、采集设备） | | 总受试者数量 | 100名 | ### 📊 提供样本数据集！如需完整访问权限，请[联系我们](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing)洽谈采购条款。 ## 数据集结构 - 海藻酸钠（Alginate） — 海藻酸钠欺骗样本图像。 - 橡皮泥（Plasticine） — 橡皮泥欺骗样本图像。 - 真实指纹（Real） — 真实指纹图像。 - 硅酮（Silicone） — 硅酮欺骗样本图像。 - meta.xlsx - 数据集元数据文件。 ### 🧩 若您喜欢本数据集但需要定制化数据？我们可专为您采集定制数据集——了解更多我们的数据采集服务请[点击此处](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing) ## 相似数据集： 1. [法医指纹数据集（Forensic Fingerprint Dataset）](https://unidata.pro/datasets/forensic-fingerprint-dataset/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing) 2. [生物特征指纹欺骗数据集（Biometric Fingerprint Spoofing Dataset）](https://unidata.pro/datasets/biometric-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing) 3. [开放掌纹图像数据集（Open Palm Hand Images Dataset）](https://unidata.pro/datasets/open-palm-hand-images/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-fingerprint-spoofing) ## 🌐 [UniData](https://unidata.pro/datasets/multi-material-fingerprint-spoofing/?utm_source=huggingface-biometrics&utm_medium=referral&utm_campaign=multi-material-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。