Abstract
Optical under display fingerprint scanners (UDFPS) are one method to authenticate a user using their fingerprint. However, such sensors can suffer from inaccurate exposure. This may lead to high false rejection rates and user frustration. This disclosure describes techniques to dynamically tune the exposure setting of a fingerprint scanner based on the quality of fingerprint images captured in the near past. In particular, the exposure setting is dynamically changed based on the recent FRR, image quality (IQ), and average brightness of the recently acquired images. Such dynamic turning can reduce or eliminate false rejection rates.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
n/a, "Dynamic Exposure Tuning to Reduce False Rejection Rate of Fingerprint Scanners", Technical Disclosure Commons, (September 22, 2023)
https://www.tdcommons.org/dpubs_series/6268