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Conference Paper
CRISP: End-to-End Fingerprint Recognition Leveraging Hardware-Anchored Liveness Detection
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- Authors
- Subin Ki, Kyuseung Han, Hyuk Kim, Taewook Kang, Kwang-Il Oh, Hyeonguk Jang, Sukho Lee, Jae-Jin Lee, Jaehyoung Lee, Woojoo Lee, Jinho Lee
- Issue Date
- 2026-06
- Citation
- International Conference on Dependable Systems and Networks (DSN) 2026, pp.22-28
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Modern fingerprint sensors remain critically vul- nerable to presentation attacks (PA), as spoofs fabricated from everyday materials can successfully bypass both enrollment and authentication. Our evaluation of seven commercial devices confirms this urgent threat, highlighting the need for robust anti- spoofing mechanisms beyond software-only countermeasures. To address this challenge, we propose a robust fingerprint recognition system featuring CRISP, a dedicated processor for hardware-anchored liveness detection. By unifying a specialized sensing interface with a near-sensor AI processing engine, CRISP identifies the unique bioelectrical characteristics of live tissue in real time, even in interference-heavy industrial environments, within a single hardware unit. We validate the industrial feasi- bility of CRISP through non-intrusive parallel integration with a commercial pattern-matching sensor, demonstrating complete end-to-end operation within the Windows Hello application. The integrated system effectively rejects conductive spoofs in 0.82 seconds, providing a secure and reliable anti-spoofing framework for consumer biometric devices
- Keyword
- Fingerprint Liveness Detection, Anti-spoofing, Hardware-Anchored Security, Fault-Tolerance, Near-Sensor AI, Spiking Neural Networks
- KSP Keywords
- Anti-spoofing, Commercial devices, End to End(E2E), Everyday materials, Fault Tolerance, Fingerprint liveness detection, Live tissue, Non-intrusive, Presentation attacks, Processing engine(PE), Recognition System