Abstract
The professors in the State Technical University of Quevedo - Ecuador (UTEQ) must register the workdays (workday entries and workday exits) in the attendance management software provided by the Human Resources department through static biometric devices. In some cases, the biometric devices are not close to their offices or classrooms, so they forget to register their workdays, wrong workdays registrations. With the aim of improving this registration process we have developed bioFACE, a novel mobile application for biometric authentication by face recognition, which allows to convert the user smartphones in biometric devices, connected to the attendance management software, avoiding large crowds in rush hours moments, especially. With the aim to assess its performance, we have carried out some experiments measuring the features accuracy and workdays registration time. Despite the limited CPU and memory capabilities of today’s mobile phones, the obtained results are very promising, shows a high accuracy facial identification and a faster and easy alternative to the workday registration.
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Zambrano-Vega, C., Oviedo, B., Moncayo Carreño, O. (2020). Assessing the Performance of a Biometric Mobile Application for Workdays Registration. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-12385-7_68
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DOI: https://doi.org/10.1007/978-3-030-12385-7_68
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