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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 developers can advance their understanding and capabilities in detecting spoofing attempts and enhancing user authentication technologies. - Get the data

๐Ÿ’ต Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Example of the data

Researchers can utilize this dataset to explore detection algorithms and pattern recognition methods that aim to prevent fake biometric attempts and improve authentication processes in biometric systems.

๐ŸŒ UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects.

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