Fingerprint recognition and matching is a common form of user authentication. While a fingerprint is unique to each individual, authentication is vulnerable when an attacker can forge a copy of the fingerprint (spoof). To combat these spoofed fingerprints, spoof detection and liveness detection algorithms are currently being researched as countermeasures to this security vulnerability. This paper introduces a fingerprint anti-spoofing mechanism using machine learning.

翻译：指纹识别与匹配是用户认证中常见的形式。虽然指纹对每个个体而言具有唯一性，但当攻击者能够伪造指纹副本（欺骗）时，认证过程便存在脆弱性。为应对这些伪造指纹，目前正在研究欺骗检测与活体检测算法作为该安全漏洞的对抗措施。本文提出了一种基于机器学习的指纹反欺骗机制。