Micro-Nano Fiber Flexible Multimodal Sensors for Fingerprint Recognition

Multimodal biometric sensing and processing systems can significantly improve the success rate of identification and authentication compared to traditional unimodal biometric authentication techniques. We propose a Flexible micro-nanofiber (MNF) multimodal sensor for fingerprint recognition. We used PDMS as the sensor substrate and placed the MNF in s-shape on the PDMS. The surface of the PDMS is covered with a film with a thickness of only 2 μm to package the MNF. A ridge-shaped sensing area is formed on the sensor surface. Such structure protects the NMF from damage at the same time. It also greatly preserves the sensitivity of the NMF. This method realizes the simultaneous measurement of the fingerprint signal and the touch dynamics signal. We tested the stability of the sensors when measuring friction and pressure as well as temperature changes. We performed the recognition of 400 sets of fingerprint signals with an accuracy of 95.75%. Such method has great potential for applications in communication, computing, commercial purposes, and financial transactions.