User Recognition in Mobile Applications Using Fingerprint Sensors

With the widespread adoption of smartphones and the increasing need for secure and personalized user experiences, user recognition has become a crucial aspect of mobile application development. In remote audiometry mobile applications, it is requested to have a quick user identification or authentication feature for protecting the medical private data. Fingerprint sensors, now commonly integrated into mobile devices, offer a convenient and reliable biometric authentication method. This paper explores using full-sized external fingerprint sensors for user recognition in mobile applications. We discuss the underlying technology of fingerprint sensors, their integration into mobile devices, and the various algorithms and techniques used for user recognition. We also present a case study where we develop a mobile application that utilizes fingerprint sensors for user authentication and discuss the performance and usability of the system.