Biometrics Anti‑Spoofing System for Galaxy S Series

On‑device fingerprint anti‑spoofing system designed for Galaxy devices to detect fake biometric inputs and ensure secure user authentication.

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From September 2019 to September 2022, Sung‑Un Park designed the architecture of Samsung’s on‑device fingerprint anti‑spoofing system deployed in Galaxy smartphones. The project focused on developing robust algorithms that detect fake fingerprints made from materials such as silicone or gel while maintaining low latency on embedded processors. The resulting system adapts to diverse user conditions and environmental variations and was shipped on multiple Galaxy S series devices cv.stoz.kr .

Contributions

Architecture design: Designed the on‑device anti‑spoofing software stack, integrating it with the fingerprint sensor and secure enclave.

Spoof‑detection algorithms: Developed machine‑learning models that analyse fingerprint ridge patterns and material characteristics to discriminate between live and fake fingerprints cv.stoz.kr .

Adaptive thresholds: Implemented adaptation schemes that adjust detection thresholds based on user feedback and sensor conditions to reduce false rejections and improve robustness.

Method and apparatus with anti‑spoofing (US12307807B2) – Patent covering a general anti‑spoofing framework that processes biometric data and rejects spoofing attempts blog.stoz.kr .

Method and apparatus that detects spoofing of biometric information (US11915525B2) – Describes techniques for detecting spoofed biometric inputs using machine‑learning classifiers and sensor fusion blog.stoz.kr .

Method and apparatus with biometric information spoof detection (US12321445B2) – Provides algorithms for detecting spoof attempts on biometric sensors and dynamically adjusting detection criteria blog.stoz.kr .

Anti‑spoofing method and apparatus (US12147516B2) – Presents an improved anti‑spoofing approach that combines multiple signal features and environmental cues to identify fake inputs blog.stoz.kr .

Method and apparatus with biometric spoofing consideration (US12087096B2) – Introduces models that consider spoofing probability when verifying biometrics, enhancing security and user convenience blog.stoz.kr .

Apparatus with fake fingerprint detection and model update (US11574499B2) – Details a system that detects fake fingerprints and updates the detection model using new data to maintain accuracy over time blog.stoz.kr .

Method and apparatus with fake fingerprint detection (US11335117B2) – Describes an approach using embedding vectors to discriminate between genuine and fake fingerprints blog.stoz.kr .

These patents collectively provide the technical foundation for the Galaxy S series anti‑spoofing system, covering core spoof‑detection algorithms, model adaptation and comprehensive security measures.