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2023 | OriginalPaper | Chapter

Attendance Portal Using Face and Speaker Recognition

Authors : Sahil Sharma, Shivam Prajapati, Merin Meleet, B. S. Rekha

Published in: Intelligent Cyber Physical Systems and Internet of Things

Publisher: Springer International Publishing

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Abstract

There is a strong correlation between attendance of school and offices and its attendees’ performance and success. The traditional ways to maintain attendance for organizations are time consuming and cumbersome. A novel way of doing this task is proposed in this paper where attendance of a person is marked based on his/her face and voice based on voice and speaker recognition. Both the biometrics are preprocessed to feed the combination as a datapoint to the Convolutional Neural Network. This ensures that proxy attendances are avoided and the shallow network is able to perform well. The model achieved an accuracy of above 90%. A python based interface facilitates the entire process of person registration, attendance marking and database maintenance.

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Title: Attendance Portal Using Face and Speaker Recognition
Authors: Sahil Sharma
Shivam Prajapati
Merin Meleet
B. S. Rekha
Publisher: Springer International Publishing
Book: Intelligent Cyber Physical Systems and Internet of Things
Print ISBN: 978-3-031-18496-3

Electronic ISBN: 978-3-031-18497-0

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-18497-0_61

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